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The purpose of the current in-depth qualitative study was to explore the experiences of older adults and family caregivers in primary care. Twenty patients and caregivers from six Comprehensive Primary Care Plus (CPC+) practices' Patient and Family Advisory Councils within a large academic health system participated in telephone interviews from December 2018 to May 2019. Participants were mostly women (60%), with an average age of 71 years and nine chronic conditions. Transcripts were coded using conventional content analysis. Two key themes emerged related to person-centered care (PCC): Engagement in Health Care and Patient–Provider Relationship . Engagement in health care was defined by participants as: being proactive, centering on patient goals in treatment discussions, adherence, and self-triaging. Approximately all participants discussed the importance of the relationship and interactions with their provider as influencing their engagement. The identified themes offer recommendations for further improvement of primary PCC. [ Journal of Gerontological Nursing, 48 (11), 7–13.]

Background Skilled nursing facility (SNF) patients are medically complex with multiple, advanced chronic conditions. They are dependent on caregivers and have experienced recent acute illnesses. Among SNF patients, the rate of mortality or acute care use is over 50% within 90 days of discharge, yet these patients and their caregivers often do not receive the quality of transitional care that prepares them to manage serious illnesses at home. Methods The study will test the efficacy of Connect-Home, a successfully piloted transitional care intervention targeting seriously ill SNF patients discharged to home and their caregivers. The study setting will be SNFs in North Carolina, USA, and, following discharge, in patients’ home. Using a stepped wedge cluster randomized trial design, six SNFs will transition at randomly assigned intervals from standard discharge planning to the Connect-Home intervention. The SNFs will contribute data for patients (N = 360) and their caregivers (N = 360), during both the standard discharge planning and Connect-Home time periods. Connect-Home is a two-step intervention: (a) SNF staff create an individualized Transition Plan of Care to manage the patient’s illness at home; and (b) a Connect-Home Activation RN visits the patient’s home to implement the written Transition Plan of Care. A key feature of the trial includes training of the SNF and Home Care Agency staff to complete the transition plan rather than using study interventionists. The primary outcomes will be patient preparedness for discharge and caregiver preparedness for caregiving role. With the proposed sample and using a two-sided test at the 5% significance level, we have 80% power to detect a 18% increase in the patient’s preparedness for discharge score. We will employ linear mixed models to compare observations between intervention and usual care periods to assess primary outcomes. Secondary outcomes include (a) patients’ quality of life, functional status, and days of acute care use and (b) caregivers’ burden and distress. Discussion Study results will determine the efficacy of an intervention using existing clinical staff to (a) improve transitional care for seriously ill SNF patients and their caregivers, (b) prevent avoidable days of acute care use in a population with persistent risks from chronic conditions, and (c) advance the science of transitional care within end-of-life and palliative care trajectories of SNF patients and their caregivers. While this study protocol was being implemented, the COVID-19 pandemic occurred and this protocol was revised to mitigate COVID-related risks of patients, their caregivers, SNF staff, and the study team. Thus, this paper includes additional material describing these modifications. Trial registration ClinicalTrials.gov NCT03810534. Registered on January 18, 2019.

OBJECTIVES Compare patient characteristics by hospital discharge disposition (home without services, home with home healthcare (HHC) services, or post-acute care (PAC) facilities). Examine timing and rates of 30-day healthcare utilization (rehospitalization, emergency department (ED) visit, or observation (OBS) visit) and patient characteristics associated with rehospitalization by discharge location. DESIGN Retrospective analysis of hospital administrative and clinical data. SETTING AND PARTICIPANTS A total of 3,294 older adult inpatients discharged home with or without HHC services or to a PAC facility. MEASUREMENTS Patient-level sociodemographic and clinical characteristics. Number of and time to occurrences of rehospitalization or ED/OBS visit within 30 days of hospital discharge. RESULTS Most rehospitalizations and ED/OBS visits occurred within 14 days from hospital discharge. Patients who returned within 24 hours came mostly from inpatient rehabilitation facilities (IRFs). More intense levels of PAC services were linked with higher rehospitalization risk. However, specific predictors differed by discharge location. Being unemployed, being single, and having more comorbidities were most associated with rehospitalization in those who went home with or without services, whereas patients rehospitalized from IRFs were younger, with less chronic illness burden, but greater and recent functional decline. Those discharged with HHC services had more return ED/OBS visits. CONCLUSIONS Although sicker patients were referred for more intense levels of PAC services, patients with greater chronic illness burden were still most often rehospitalized. In addition to unique patient differences, rehospitalizations from IRF within 24 hours suggest systems factors are contributory. Most return acute healthcare utilization occurred within 14 days; therefore, interventions should focus on smoothing transitions to all discharge locations. Because predictors of rehospitalization risk differed by discharge disposition, future research is necessary to study approaches aimed at matching patients' care needs with the most suitable PAC services at the right time. J Am Geriatr Soc 68:2279-2287, 2020.

Objective The goal of this study was to explore whether features of recorded and transcribed audio communication data extracted by machine learning algorithms can be used to train a classifier for anxiety. Materials and Methods We used a secondary data set generated by a clinical trial examining problem-solving therapy for hospice caregivers consisting of 140 transcripts of multiple, sequential conversations between an interviewer and a family caregiver along with standardized assessments of anxiety prior to each session; 98 of these transcripts (70%) served as the training set, holding the remaining 30% of the data for evaluation. Results A classifier for anxiety was developed relying on language-based features. An 86% precision, 78% recall, 81% accuracy, and 84% specificity were achieved with the use of the trained classifiers. High anxiety inflections were found among recently bereaved caregivers and were usually connected to issues related to transitioning out of the caregiving role. This analysis highlighted the impact of lowering anxiety by increasing reciprocity between interviewers and caregivers. Conclusion Verbal communication can provide a platform for machine learning tools to highlight and predict behavioral health indicators and trends.

ImportanceAttrition in cancer clinical trials (CCTs) can lead to systematic bias, underpowered analyses, and a loss of scientific knowledge to improve treatments. Little attention has focused on retention, especially the role of perceived benefits and burdens, after participants have experienced the trial.ObjectivesTo examine the association between patients’ perceived benefits and burdens of research participation and CCT retention.Design, Setting, and ParticipantsThis survey study was conducted at a National Cancer Institute–designated comprehensive cancer center in the Northeast region of the US. The sample included adult patients with a cancer diagnosis participating in cancer therapeutic trials. Data were collected from September 2015 to June 2019. Analysis of study data was ongoing since November 2019 through October 2022.ExposuresSelf-reported validated survey instrument with a list of 22 benefits and 23 burdens of research participation that can be rated by patients with a 5-point Likert scale ranging from 1 (strongly disagree) to 5 (strongly agree).Main Outcomes and MeasuresA primary outcome was actual withdrawal from the CCT, and a composite outcome was composite withdrawal that included both actual withdrawal and thoughts of withdrawing. Bivariate and multivariable logistic regressions were used.ResultsAmong the 334 participants in the sample, the mean (SD) age was 61.9 (11.5) years and 174 women (52.1%) were included. Top-cited benefits included both aspirational and action-oriented goals, including helping others (94.2%), contributing to society (90.3%), being treated respectfully (86.2%), and hoping for a cure (86.0%). Worry over receiving a placebo (61.3%), rearranging one’s life (41.9%), and experiencing bothersome adverse effects (41.6%) were notable burdens. An increased burden score was associated with a higher probability of actual withdrawal (adjusted odds ratio [OR], 1.86; 95% CI, 1.1-3.17; P = .02) or composite withdrawal (adjusted OR, 3.44; 95% CI, 2.09-5.67; P P P = .03). The risk of withdrawal was even higher for the composite outcome (adjusted OR, 7.70; 95% CI, 2.76-21.48; P Conclusions and RelevanceThis survey study found that patients perceived important benefits from CCT participation, and this perception was associated with trial retention, even among those who also perceived substantial burdens. A broader dialogue among stakeholders can inform an ethical and patient-centric focus on benefits throughout the course of a CCT to increase retention.

EXECUTIVE SUMMARY In this study, the authors used simulation to explore factors that might influence hospitals' decisions to adopt evidence-based interventions. Specifically, they developed a simulation model to examine the extent to which hospitals would benefit economically from the transitional care model (TCM). The TCM is designed to transition high-risk older adults from hospitals back to communities using interventions focused on preventing readmissions.The authors used qualitative methods to identify and validate simulation facets. Four simulation experiments explored the economic impact of the TCM on more than 3,000 U.S. hospitals: (1) magnitude of readmission penalty, (2) application to specific diagnosis-related groups, (3) level of cost sharing between payer and provider, and (4) capitated versus fee-for-service payments. The simulator projected hospital-specific economic effects. The authors used Monte Carlo methods for the simulations, which were parameterized with public data sets from the Centers for Medicare & Medicaid Services (CMS) and TCM data from randomized controlled trials and comparative effectiveness studies.Under current conditions, the simulation indicated that only 10 of more than 3,000 Medicare-certified hospitals would benefit financially from the TCM. If current readmission penalties were doubled, the number of hospitals projected to benefit would increase to 300. Targeting selected diagnosis cohorts would also increase the number of hospitals to 300. If payers reimbursed providers for 100% of the TCM costs, 2,000 hospitals would benefit financially. Under a capitated payment model, 1,500 hospitals would benefit from the TCM.Current CMS penalties-or reasonable increases-have little economic effect on the TCM. In the current environment, two strategies are likely to facilitate adoption: (1) persuading payers to reimburse TCM costs and (2) focusing on hospitals with higher bed occupancies and higher revenue patients.

Objective: To determine predictors of health care transitions (i.e., acute care service use, transfers from lower to higher intensity services) among older adults new to long-term services and supports [LTSS]. Method: 470 new LTSS recipients followed for 24 months. Multivariable Poisson regression modeling within a generalized estimating equation framework. Results: Being male, having multiple chronic conditions, lower self-reported physical health ratings and lower quality of life ratings at baseline were associated with increased risk of health care transitions. Older adults in assisted living communities and nursing homes experienced decreases in health care transitions over time, while LTSS recipients at home had no change in risk. LTSS recipients who had orders to receive therapy, compared with those who did not, had a lower relative risk of transitions over time. Discussion: Predictors of future health care transitions support the need for LTSS providers to anticipate and monitor this risk for LTSS recipients.

Patients with chronic illness are associated with high health-care utilization and this is exacerbated in the end of life, when health-care utilization and costs are highest. Complex Care Management (CCM) is a model of care developed to reduce health-care utilization, while improving patient outcomes. We aimed to examine the relationship between health-care utilization patterns and patient characteristics over time in a sample of older adults enrolled in CCM over the last 2 years of life. Generalized estimating equation models were used. The sample (n = 126) was 52% female with an average age of 85 years. Health-care utilization rose sharply in the last 3 months of life with at least one hospitalization for 67% of participants and an emergency department visit for 23% of participants. In the last 6 months of life, there was an average of 2.17 care transitions per participant. The odds of hospitalization increased by 27% with each time interval ( P < .001). Participants demonstrated 11% greater odds of having a hospitalization for each additional comorbidity ( P = .05). A primary diagnosis of heart failure or coronary artery disease was associated with 21% greater odds of hospitalization over time compared to other primary diagnoses ( P = .017). Females had 70% greater odds of an emergency department visit compared to males ( P = .046). For each additional year of life, the odds of an emergency department visit increased by about 7% ( P < .001). Findings suggest the need for further interventions targeting chronically ill older adults nearing end of life within CCM models.

Background Research suggests that growth in Black and Hispanic (minority) older adults' nursing home (NH) use may be the result of disparities in access to community-based and alternative long-term services and supports (LTSS). Objective We aimed to determine whether minority groups receiving care in NHs versus the community had fewer differences in their functional needs compared with the differences in nonminority older adults, suggesting a disparity. Methods We identified respondents aged 65 years or above with a diagnosis of Alzheimer disease or dementia in the 2016 Health and Retirement Study who reported requiring LTSS help. We performed unadjusted analyses to assess the difference in functional need between community and NH care. Functional need was operationalized using a functional limitations score and 6 individual activities of daily living. We compared the LTSS setting for minority older adults to White older adults using difference-in-differences. Results There were 186 minority older adults (community=75%, NH=25%) and 357 White older adults (community=50%, NH=50%). Between settings, minority older adults did not differ in education or marital status, but were younger and had greater income in the NH versus the community. The functional limitations score was higher in NHs than in the community for both groups. Functional needs for all 6 activities of daily living for the minority group were greater in NHs compared with the community. Conclusion Functional need for minority older adults differed by setting while demographics varied in unexpected ways. Factors such as familial and financial support are important to consider when implementing programs to keep older adults out of NHs.

Objectives:Daytime sleepiness is associated with multiple negative outcomes in older adults receiving long-term services and supports (LTSS) including reduced cognitive performance, need for greater assistance with activities of daily living and decreased social engagement. The purpose of this study was to identify predictors of change in subjective daytime sleepiness among older adults during their first 2 years of receiving LTSS.Design and Setting:Secondary analysis of data from a prospective longitudinal study of older adults who received LTSS in their homes, assisted living communities or nursing homes interviewed at baseline and every 3 months for 24 months.Participants:470 older adults (60 years and older) newly enrolled in LTSS (mean = 81, SD = 8.7; range 60–98; 71% women).Measurements:Subjective daytime sleepiness was assessed every 3 months through 2 years using the Epworth Sleepiness Scale. Multiple validated measures were used to capture health-related quality of life characteristics of enrollees and their environment, including symptom status (Symptom Bother Scale), cognition (Mini Mental Status Exam), physical function (Basic Activities of Daily Living), physical and mental general health, quality of life (Dementia Quality of Life, D-QoL), depressive symptoms (Geriatric Depression Scale) and social support (Medical Outcomes Survey-Social Support).Results:Longitudinal mixed effects modeling was used to examine the relationship between independent variables and continuous measure of daytime sleepiness. Increased feelings of belonging, subscale of the D-QoL (effect size = −0.006, 95% CI: −0.013 to −0.0001,p= 0.045) and higher number of depressive symptoms (effect size = −0.002, 95% CI: −0.004 to −0.001,p= 0.001) at baseline were associated with slower rates of increase in daytime sleepiness over time.Conclusions:Comprehensive baseline and longitudinal screening for changes in daytime sleepiness along with depression and perceived quality of life should be used to inform interventions aimed at reducing daytime sleepiness among older adults receiving LTSS.

Limited information exists on the perceived health of older adults new to receiving long-term services and supports (LTSS) compared with the year prior, posing challenges to the anticipation of health care need and optimization of wellness efforts for this growing population. In response, we sought to identify differences in perceived worsened physical health across three LTSS types (nursing home, assisted living, and home and community-based services) along with health-related quality of life (HRQoL) characteristics associated with older adults’ ratings of perceived worsened physical health at the start of receiving LTSS. Enrolled LTSS recipients completed a single interview assessing their HRQoL. Bivariate and multivariable logistic regression analyses were performed to determine associations in LTSS types and HRQoL characteristics with perceived worsened physical health among older adults (≥60 years old) since 1 year prior to study enrollment. Among the 467 LTSS recipients, perceived physical health was rated as worse than the previous year by 36%. Bivariate analyses revealed no differences in perceived worsened physical health across LTSS types. In adjusted analyses, religiousness/spirituality and better mental and general health perception had a decreased odds of being associated with perceived worsened physical health ( P < .05). Participants with major changes in their health in the past 6 months were more likely to report perceived worsened physical health ( P < .001). Findings provide information that may be used to target efforts to enhance perceived physical health and improve quality of life among LTSS enrollees.

Aim: The goal of this study was to compare postacute care costs of three care management interventions. Materials & methods: A total of 202 hospitalized older adults with cognitive impairment received either Augmented Standard Care, Resource Nurse Care or the Transitional Care Model. The Lin method was used to estimate costs at 30 and 180 days postindex hospital discharge. Results: The Transitional Care Model had significantly lower costs than the Augmented Standard Care group at both 30 (p Conclusion: These findings suggest that the Transitional Care Model can reduce both the amount of other postacute care and the total cost of care compared with alternative services for cognitively impaired older adults. Clinicaltrials.gov : NCT00294307.

Aims and objectives To explore how older patients with multiple chronic conditions and their family caregivers perceive their engagement and overall care experience throughout the preoperative phase of elective orthopaedic hip or knee joint replacement. Background Patient engagement is a critical component of care necessary for improving patient outcomes. Little is known about how older adults with multiple chronic conditions and their family caregivers engage in preoperative care transitions and the subsequent impact of this experience on postoperative health outcomes. Design Prospective qualitative descriptive design was used. Methods Semi-structured telephone interviews with a convenience sample of older adults coping with multiple chronic conditions and their family caregivers. Interviews were conducted prior to surgery and, again 21 days postsurgery, were audio-recorded and transcribed for qualitative content analysis. The Quality Health Outcomes Model was used to categorise study findings. Results Eleven patients and five family caregivers participated. Guided by the Quality Health Outcomes Model, four major themes were identified. (i) Older adults perceive that joint replacement is about quality of life. (ii) Standardised interventions often fail to address the unique needs of complex older adults. (iii) Family caregivers perceive they are the primary care coordinators. (iv) Postoperative outcomes and resource utilisation vary widely in complex older adults. Conclusion Findings suggest that current preoperative care interventions are often not designed to effectively engage complex older patients and their family caregivers. Coordinated patient-centred preoperative care that reflects the needs and goals of complex older patients and their family caregivers may positively influence perioperative care transitions and outcomes beyond this episode of care. Relevance to clinical practice The current research documents the need for more in-depth knowledge about the relationship between older adults' and their family caregivers' engagement preoperatively and postoperative outcomes and resource utilisation.

Older adults with multiple chronic conditions (MCCs) typically have risk factors (e.g., functional deficits, social barriers) that complicate the management of their healthcare, often with devastating human and economic consequences. Finding new ways to provide patient-centered care to community-based older adults with MCCs is essential. Two current models of care, the Patient-Centered Medical Home (PCMH) and the Transitional Care Model (TCM), have demonstrated improvements in the outcomes of high-risk older adults at different points on the chronic illness trajectory. However, neither care management approach has optimally engaged vulnerable patients to address needs throughout both acute and more stable transitions in health. In this article, we summarize the development of the PCMH plus TCM (hereafter, PCMH + TCM), an innovative approach to care, and the experience of the providers involved in testing the feasibility of implementing the PCMH + TCM. Using content analyses to code open-ended survey responses from transitional care nurses and PCMH clinical leaders', two major themes, collaboration and communication, emerged as critical to the process of implementing the PCMH + TCM. Barriers and facilitators to implementing the PCMH + TCM are presented. Findings support that the TCM can be adapted and integrated into the PCMH with meticulous planning and implementation.

Background Andersen’s Expanded Behavioral Model of Health Services Use describes factors associated with the use of long-term services and supports (LTSS). This model, however, has only been tested on the intent to use such services among African-American and White older adults and not the actual use. Given the increasing diversity of older adults in the U.S., the ability to conceptualize factors associated with actual use of LTSS across racial/ethnic groups is critical. Methods We applied Andersen’s Expanded model in the analysis of 2006–2010 qualitative data using multiple methods to understand both the relevancy of factors for older adults who currently use LTSS vs. those who intend to use LTSS (as described in Andersen’s original exploration). We additionally explored differences in these factors across racial/ethnic groups and included Hispanic older adults in our analyses. Results Four additional constructs linked with actual LTSS use emerged: losses and changes, tangible support, capability to provide informal support, and accessibility of informal support. Racial differences were seen in level of participation in decisions to use nursing home services (Not involved: 45% African-Americans vs. 24% Whites). Reports of LTSS use to avoid burdening one’s family were greater among White older adults compared to African-American older adults. Conclusions Findings around decision-making and burden along with other constructs enhance our understanding of determinants that influence actual LTSS use and require targeted interventions.

Advance knowledge about changes in multiple dimensions of health related quality of life (HRQoL) among older adults receiving long-term services and supports (LTSS) over time and across settings.A prospective, observational, longitudinal cohort design.Nursing homes (NHs), assisted living facilities (ALFs), community.A total of 470 older adults who were first-time recipients of LTSS.Single-item quality-of-life measure assessed every 3 months over 2 years. HRQoL domains of emotional status, functional status, and social support were measured using standardized instruments.Multivariable mixed effects model with time varying covariates revealed that quality-of-life ratings decreased over time (P.001). Quality-of-life ratings were higher among enrollees with fewer depressive symptoms (P.001), higher general physical function (P.001), enhanced emotional well-being (P.001), and greater social support (P = .004). Ratings also were higher among those with increased deficits in activities of daily living (P = .02). Ratings were highest among enrollees who received LTSS from ALFs, followed by NHs, then home and community-based services (HCBS), but only findings between ALFs and HCBS were statistically significant (P.001). Finally, ratings tended to decrease over time among enrollees with greater cognitive impairment and increase over time among enrollees with less cognitive impairment (P.001).Findings advance knowledge regarding what is arguably the most important outcome of elderly LTSS recipients: quality of life. Understanding associations between multiple HRQoL domains and quality of life over time and directly from LTSS recipients represents a critical step in enhancing care processes and outcomes of this vulnerable population.

Objectives Although hospital clinicians strive to effectively refer patients who require post-acute care (PAC), their discharge planning processes often vary greatly, and typically are not evidence-based. Design Quasi-experimental study employing pre-/postdesign. Aimed at improving patient-centered discharge processes, we examined the effects of the Discharge Referral Expert System for Care Transitions (DIRECT) algorithm that provides clinical decision support (CDS) regarding which patients to refer to PAC and to what level of care (home care or facility). Setting and participants Conducted in 2 hospitals, DIRECT data elements were collected in the pre-period (control) but discharging clinicians were blinded to the advice and provided usual discharge care. During the postperiod (intervention), referral advice was provided within 24 hours of admission to clinicians, and updated twice daily. Propensity modeling was used to account for differences between the pre-/post patient cohorts. Measures Outcomes compared between the control and the intervention periods included PAC referral rates, patient characteristics, and same-, 7-, 14-, and 30-day readmissions or emergency department visits. Results Although 24%–25% more patients were recommended for PAC referral by DIRECT algorithm advice, the proportion of patients receiving referrals for PAC did not significantly differ between the control (3302) and intervention (5006) periods. However, the characteristics of patients referred for PAC services differed significantly and inpatient readmission rates decreased significantly across all time intervals when clinicians had DIRECT CDS compared with without. There were no differences observed in return emergency department visits. Largest effects were observed when clinicians agreed with the algorithm to refer (yes/yes). Conclusions/Implications Our findings suggest the value of timely, automated, discharge CDS for clinicians to optimize PAC referral for those most likely to benefit. Although overall referral rates did not change with CDS, the algorithm may have identified those patients most in need, resulting in significantly lower inpatient readmission rates.

Excessive daytime sleepiness (EDS) is prevalent in older adults; however, data are lacking that examine EDS across living environments. The aims of this secondary data analysis were to identify the prevalence and predictors of EDS among older adults receiving long-term services and supports (LTSS) in assisted living communities (ALCs), nursing homes (NHs), and the community. Participants (n=470) completed multiple measures including daytime sleepiness. Logistic regression modeling was used to identify EDS predictors. Participants were primarily female and white with a mean age of 81±9 years. The overall prevalence of EDS was 19.4%; the prevalence differed across living environment. Older adults in ALCs and NHs had higher odds of having EDS than those living in the community. Also, depressive symptoms and number of bothersome symptoms predicted EDS. Upon admission for LTSS, evaluating older adults, especially those in ALCs and NHs, for depression and bothersome symptoms may reveal modifiable factors of EDS.

Background Older adults that transfer from skilled nursing facilities (SNF) to home have significant risk for poor outcomes. Transitional care of SNF patients (i.e., time-limited services to ensure coordination and continuity of care) is poorly understood. Objective To determine the feasibility and relevance of the Connect-Home transitional care intervention, and to compare preparedness for discharge between comparison and intervention dyads. Design A non-randomized, historically controlled design-enrolling dyads of SNF patients and their family caregivers. Setting Three SNFs in the Southeastern United States. Participants Intervention dyads received Connect-Home; comparison dyads received usual discharge planning. Of 173 recruited dyads, 145 transferred to home, and 133 completed surveys within 3 days of discharge. Intervention The Connect-Home intervention consisted of tools and training for existing SNF staff to deliver transitional care of patient and caregiver dyads. Measurements Feasibility was assessed with a chart review. Relevance was assessed with a survey of staff experiences using the intervention. Preparedness for discharge, the primary outcome, was assessed with Care-Transitions Measure-15 (CTM-15). Results The intervention was feasible and relevant to SNF staff (i.e., 96.9% of staff recommended intervention use in the future). Intervention dyads, compared to comparison dyads, were more prepared for discharge (CTM-15 score 74.7 vs 65.3, mean ratio 1.16, 95% CI: 1.08, 1.24). Conclusion Connect-Home is a promising transitional care intervention for older patients discharged from SNF care. The next step will be to test the intervention using a cluster randomized trial, with patient outcomes including re-hospitalization.

BACKGROUND AND OBJECTIVES: To identify determinants of self-reported physical functioning (PF) among older adults new to long-term services and supports (LTSS). RESEARCH DESIGN AND METHOD: Using the International Classification of Function, Disability, and Health (ICF) framework, we conducted a secondary analysis of self-reported data on symptoms, basic/instrumental activities of daily living, quality of life, assistive devices, physical therapy needs, prior healthcare utilization, health status, and demographics from 470 older adults new to LTSS (Home/Community-Based n = 156; Assisted Living n = 156; Nursing Home n = 158). Multiple linear regression was used to identify associations between ICF constructs and self-reported PF (SF-12 Physical Composite Summary score [SF12PCS], lower scores indicate worse PF). RESULTS: LTSS recipients were mostly female (71%) and over age 80 (Mean: 80.9 years, SD: 8.7). LTSS recipients’ mean SF12PCS score was 37.3 (SD 11.0), indicating overall low self-reported PF. LTSS recipients living in their homes (b = −3.35, p = .003) or assisted living facilities (b = −2.93, p = .012) had significantly lower mean scores compared to recipients in nursing homes. Higher SF12PCS scores were associated with fewer activities of daily living deficits (p < .001), and better quality of life (p < .001). Lower scores were associated with more symptoms (p < .001), poorer nutrition (p = .013), ambulation aid use (p < .001), and physical therapy (p < .026). DISCUSSION AND IMPLICATIONS: Diverse health, activity, and environmental factors may facilitate early identification of new LTSS recipients most in need of interventions to optimize self-reported PF. Several health conditions may be targets for such interventions. Additional research is needed to evaluate and compare PF trajectories among older adults receiving LTSS in diverse settings.

Preventing adverse events among chronically ill older adults living in the community is a national health priority. The purpose of this study was to generate distinct risk profiles and compare these profiles in time to: hospitalization, emergency department (ED) visit or death in 371 community-dwelling older adults enrolled in a Medicare demonstration project. Guided by the Behavioral Model of Health Service Use, a secondary analysis was conducted using Latent Class Analysis to generate the risk profiles with Kaplan Meier methodology and log rank statistics to compare risk profiles. The Vuong-Lo-Mendell-Rubin Likelihood Ratio Test demonstrated optimal fit for three risk profiles (High, Medium, and Low Risk). The High Risk profile had significantly shorter time to hospitalization, ED visit, and death (p < 0.001 for each). These findings provide a road map for generating risk profiles that could enable more effective targeting of interventions and be instrumental in reducing health care costs for subgroups of chronically ill community-dwelling older adults.

Overview: Although it increases the risk of poor outcomes and raises the costs of care, cognitive impairment in hospitalized older adults is often neither accurately identified nor well managed. In conducting a two-phase, comparative-effectiveness clinical trial of the effects of three nursing interventions—augmented standard care, resource nurse care, and the transitional care model—on hospitalized older adults with cognitive deficits, a team of researchers encountered several challenges. For example, in assessing potential subjects for the study, they found that nearly half of those assessed had cognitive impairment, yet many family caregivers could not be identified or had no interest in participating in the study. One lesson the researchers learned was that research involving cognitively impaired older adults must actively engage clinicians, patients, and family caregivers, as well as address the complex process of managing postdischarge care.

Aim: This article reports the effects of three evidence-based interventions of varying intensity, each designed to improve outcomes of hospitalized cognitively impaired older adults. Materials & methods: In this comparative effectiveness study, 202 older adults with cognitive impairment (assessed within 24 h of index hospitalization) were enrolled at one of three hospitals within an academic health system. Each hospital was randomly assigned one of the following interventions: Augmented Standard Care (ASC; lower dose: n = 65), Resource Nurse Care (RNC; medium dose: n = 71) or the Transitional Care Model (TCM; higher dose: n = 66). Since randomization at the patient level was not feasible due to potential contamination, generalized boosted modeling that estimated multigroup propensity score weights was used to balance baseline patient characteristics between groups. Analyses compared the three groups on time with first rehospitalization or death, the number and days of all-cause rehospitalizations per patient and functional status through 6-month postindex hospitalization. Results: In total, 25% of the ASC group were rehospitalized or died by day 33 compared with day 58 for the RNC group versus day 83 for the TCM group. The largest differences between the three groups on time to rehospitalization or death were observed early in the Kaplan–Meier curve (at 30 days: ASC = 22% vs RNC = 19% vs TCM = 9%). The TCM group also demonstrated lower mean rehospitalization rates per patient compared with the RNC (p < 0.001) and ASC groups (p = 0.06) at 30 days. At 90-day postindex hospitalization, the TCM group continued to demonstrate lower mean rehospitalization rates per patient only when compared with the ASC group (p = 0.02). No significant group differences in functional status were observed. Conclusion : Findings suggest that the TCM intervention, compared with interventions of lower intensity, has the potential to decrease costly resource use outcomes in the immediate postindex hospitalization period among cognitively impaired older adults.

Objectives: To describe the factors associated with burden that caregivers of cognitively impaired older adults (dementia, delirium, or both) at the time of hospitalization experienced. Design: Cross-sectional data analyses. Setting: Three hospitals�one academic tertiary hospital and two associated community hospitals. Participants: Caregivers (N = 495) of cognitively impaired older adults at the time of hospital admission. Measurements: Multivariable linear regression was performed to analyze the effect of the independent variables (caregiver: demographic characteristics, depressive symptoms, self-efficacy; older adult: neuropsychiatric symptoms, delirium, functional deficits) on caregiver burden. Results: Higher burden was associated with younger caregiver age (P = .02), being a spouse (P = .03), depressive symptoms (P < .001), caregivers� lower perceived self-efficacy in managing care recipient symptoms (P = .002), and limited finances at the end of the month (P = .01). Caregiver burden was also strongly associated with the care recipient factors distressing neuropsychiatric symptoms (P = .001), delirium (P = .001), and greater functional deficits in basic activities of daily living (P = .001). Conclusion: These findings suggest that caregivers of older adults who were cognitively impaired at hospital admission experience burden. Understanding the factors that contribute to burden at the time of hospitalization for caregivers of persons with cognitive impairment can inform the development of interventions targeted throughout the hospitalization that have the potential to decrease burden.

Background and Purpose: Frailty is a significant challenge for health care. Therefore, it is important to identify frail individuals. Theoretical Framework: The Vulnerability/Risk/ Human Response/Care Model. The purpose of this study was to develop and validate a measure to identify frail older adults. Methods: Instrument development encompassed the following: delineation of content domains, item generation, content validity, quantitative content validity analysis, and psychometric analysis. Results: Findings indicated the following: (a) Frailty is a complex concept, (b) the Frailty Index for Elders (FIFE) is composed of 10 items, (c) FIFE was able to predict depression, and (d) FIFE was able to differentiate differences in demographic profiles by social support environment. Conclusions: FIFE is a valid instrument. FIFE can be used to study the relationships among frailty determinants, provide standardized measurement, and develop and measure interventional studies.Keywords: instrument development; frailty; elderly; older adultsThe term frailty is often used within the field of geriatrics to describe older adults who are in poor health and vulnerable to stressors resulting in worsening mor- bidity, disability, and mortality. Although considered to be an easily recognized geriatric syndrome, there is no universal definition, thus challenging the ability to char- acterize frailty. Initial conceptual and operational definitions of frailty focused on physi- ological causes of frailty (Brown, Sinacore, Binder, & Kohrt, 2000; Dayhoff, Suhrheinrich, Wigglesworth, Topp, & Moore, 1998; Fried et al., 2001). As the concept has evolved, researchers have recognized frailty as a multifactorial paradigm and have included psy- chological and social domains in its measurement. Inclusion of multiple health domains supports the central tenet that frailty is an accumulation of decrements that affect multiple systems (Ahmed, Mandel, & Fain, 2007; Bortz, 2002; Campbell & Buchner, 1997; Fried et al., 2001; Lally & Crome, 2007; Rockwood, Fox, Stolee, Robertson, & Beattie, 1994).The effect of multiple system decrements is a heightened vulnerability to stressors that increase morbidity and mortality. The health trajectory of frail older adults is of a slow decline, with steadily progressive disability. As the older adult population increases, society will experience the burden of increasing numbers of frail older adults. These frail individuals will have a substantial need for support and interventions. Therefore, it is important to develop an instrument to identify individuals as frail or at risk for frailty. A valid frailty instrument would allow clinicians to rapidly initiate intervention programs to minimize risk of poor outcomes. Without the ability to screen and assess older adults for frailty, effective management and coordination of health team member efforts to prevent the downward trajectory of disability and mortality will be thwarted. A valid frailty mea- sure is also needed to aid researchers in the development and application of interventions to prevent or reverse frailty. The purpose of this study was to develop and validate a mea- sure to identify frail older adults.BACKGROUND AND CONCEPTUAL FRAMEWORKBackgroundThe development of instruments to measure frailty has been limited to geriatric research and practice. A prominent frailty measure, the Phenotype of Frailty (Fried et al., 2001), is one-dimensional and addresses only physiological components. Several frailty measures were developed to include physiological and psychosocial domains of frailty. These mea- sures require multidimensional clinical data from a comprehensive geriatric assessment and have limited applicability to research or geriatric practices (Jones, Song, Mitnitski, & Rockwood, 2005; Kulminski et al., 2008; Rockwood, 2005; Searle, Mitnitski, Gahbauer, Gill, & Rockwood, 2008; Studenski et al., 2004). …

The purpose of this study was to explore participants’ experience in the Health Quality Partners (HQP) Care Coordination Program that contributed to their continued engagement. Older adults with multiple chronic conditions often have limited engagement in health care services and face fragmented health care delivery. This can lead to increased risk for disability, mortality, poor quality of life, and increased health care utilization. A qualitative descriptive design with two focus groups was conducted with a total of 20 older adults enrolled in HQP’s Care Coordination Program. Conventional content analysis was the analytical technique. The overarching theme resulting from the analysis was “in our corner,” with subthemes “opportunities to learn and socialize” and “dedicated nurses,” suggesting that these are the primary contributing factors to engagement in HQP’s Care Coordination Program. Study findings suggest that nurses play an integral role in patient engagement among older adults enrolled in a care coordination program.

Background: Among older adults receiving long-term services and supports (LTSS), debilitating hospitalizations is a pervasive clinical and research problem. Multiple chronic conditions (MCCs) are prevalent in LTSS recipients. However, the combination of MCCs and diseases associated with hospitalizations of LTSS recipients is unclear. Objective: The purpose of this analysis was to determine the association between classes of MCCs in newly enrolled LTSS recipients and the number of hospitalizations over a 1-year period following enrollment. Methods: This report is based on secondary analysis of extant data from a longitudinal cohort study of 470 new recipients of LTSS, 60 years and older, receiving services in assisted living facilities, nursing homes, or through home- and community-based services. Using baseline chronic conditions reported in medical records, latent class analysis was used to identify classes of MCCs and posterior probabilities of membership in each class. Poisson regressions were used to estimate the relative ratio between posterior probabilities of class membership and number of hospitalizations during the 3-month period prior to the start of LTSS (baseline) and then every 3 months forward through 12 months. Results: Three latent MCC-based classes named Cardiopulmonary, Cerebrovascular/Paralysis, and All Other Conditions were identified. The Cardiopulmonary class was associated with elevated numbers of hospitalizations compared to the All Other Conditions class (relative ratio [RR] = 1.88, 95% CI [1.33, 2.65], p < .001). Conclusion: Older LTSS recipients with a combination of MCCs that includes cardiopulmonary conditions have increased risk for hospitalization.

Background Among hospitalized older adults who transfer to skilled nursing facilities (SNF) for short stays and subsequently transfer to home, twenty two percent require additional emergency department or hospital care within 30 days. Transitional care services, that provide continuity and coordination of care as older adults transition between settings of care, decrease complications during transitions in care, however, they have not been examined in SNFs. Thus, this study described how existing staff in SNFs delivered transitional care to identify opportunities for improvement. Methods In this prospective, multiple case study, a case was defined as an individual SNF. Using a sampling plan to assure maximum variation among SNFs, three SNFs were purposefully selected and 54 staff, patients and family caregivers participated in data collection activities, which included observations of care (N = 235), interviews (N = 66) and review of documents (N = 35). Thematic analysis was used to describe similarities and differences in transitional care provided in the SNFs as well as organizational structures and the quality of care-team interactions that supported staff who delivered transitional care services. Results Staff in Case 1 completed most key transitional care services. Staff in Cases 2 and 3, however, had incomplete and/or absent services. Staff in Case 1, but not in Cases 2 and 3, reported a clear understanding of the need for transitional care, used formal transitional care team meetings and tracking tools to plan care, and engaged in robust team interactions. Conclusions Organizational structures in SNFs that support staff and interactions among patients, families and staff appeared to promote the ability of staff in SNFs to deliver evidence-based transitional care services. Findings suggest practical approaches to develop new care routines, tools, and staff training materials to enhance the ability of existing SNF staff to effectively deliver transitional care.

Medication reconciliation problems are common among older adults at hospital discharge and lead to adverse events. The purpose of this study was to examine the rates and types of medication reconciliation problems among older adults hospitalized for acute episodes of heart failure who were discharged home. This secondary analysis of data generated from a transitional care intervention included 198 hospital discharge medical records, representing 162 patients. A retrospective chart review comparing medication lists between hospital discharge summaries and patient discharge instructions was completed to identify medication reconciliation problems. Most hospital discharges (71.2%) had at least one type of reconciliation problem and frequently involved a high-risk medication (76.6%). Discrepancies were the most common problem (58.9%), followed by incomplete discharge summaries (52.5%) and partial patient discharge instructions (48.9%). More attention needs to be given to the quality of discharge instructions, and the problem of vague phrases (e.g., “take as directed”) can be addressed by adding it to “do not use” lists to promote safer transitions in care.

b Background: Each year, more than 13 million post acute referral decisions are made for Medicare recipients, yet there are no national, empirically derived decision support tools to assist in making these important decisions. b Objectives: The aim of this study was to elicit expert knowledge about factors important to referral decision making and identify the characteristics of hospitalized patients who need a post acute referral. b Methods: This was a retrospective and prospective mixedmethods study of the referral decisions made by discharge planning experts for 355 hospitalized older adults. Variables included sociodemographics, living arrangement, insurance, diagnosis, comorbid conditions, adverse events, medications, home care use, hospitalization in last 30 days or 6 months, patients’ perception of need for and use of assistive devices or post acute services, length of stay, cognition, self-rated health, depression, functional status, and post acute referral decision. b Results: The final model identified six factors associated with the need for a post acute referral. A cutpoint was derived with a sensitivity and specificity of 87.6% and 63.2%, respectively. Experts were more likely to refer patients who had no or intermittent help available (odds ratio [OR] = 3.0), major walking restrictions (OR = 6.5), less than excellent self-rated health (3.1 and 4.0 times more likely with good and fairYpoor health, respectively), remained in the hospital longer (OR = 1.2), and had higher depression scores (OR = 1.1) or number of comorbidities (OR = 1.2). b Discussion: This study begins to identify information useful to clinicians caring for hospitalized older adults who may benefit from post acute services. By assuring the systematic, valid, and reliable collection of these items, the multidisciplinary team is alerted to patients who may benefit from post acute services. Further work is needed to increase the specificity and generalizability of the model and to test its effects on patient and clinician outcomes.

The evidence base of what works in chronic care management programs is underdeveloped. To fill the gap, we pooled and reanalyzed data from ten randomized clinical trials of heart failure care management programs to discern how program delivery methods contribute to patient outcomes. We found that patients enrolled in programs using multidisciplinary teams and in programs using in-person communication had significantly fewer hospital readmissions and readmission days than routine care patients had. Our study offers policymakers and health plan administrators important guideposts for developing an evidence base on which to build effective policy and programmatic initiatives for chronic care management. [Health Affairs 28, no. 1 (2009): 179-189; 10.1377/hlthaff.28.1.179]

SUMMARY Dementia and delirium, the most common causes of cognitive impairment (CI) among hospitalized older adults, are associated with higher mortality rates, increased morbidity and higher health care costs. A growing body of science suggests that these older adults and their caregivers are particularly vulnerable to systems of care that either do not recognize or meet their needs. The consequences can be devastating for these older adults and add to the burden of hospital staff and care-givers, especially during the transition from hospital to home. Unfortunately, little evidence exists to guide optimal care of this patient group. Available research findings suggest that hospitalized cognitively impaired elders may benefit from interventions aimed at improving care management of both CI and co-morbid conditions but the exact nature and intensity of interventions needed are not known. This article will explore the need for improved transitional care for this vulnerable population and their caregivers.

Background— Age is an important determinant of outcomes for patients with acute coronary syndromes. However, community practice reveals a disproportionately lower use of cardiovascular medications and invasive treatment even among elderly patients who would stand to benefit. Limited trial data are available to guide care of older adults, which results in uncertainty about benefits and risks, particularly with newer medications or invasive treatments and in the setting of advanced age and complex health status. Methods and Results— Part II of this American Heart Association scientific statement summarizes evidence on presentation and treatment of ST-segment–elevation myocardial infarction in relation to age ( Conclusions— Few trials have adequately described treatment effects in older patients with ST-segment–elevation myocardial infarction. In the future, absolute and relative risks for efficacy and safety in age subgroups should be reported, and trials should make efforts to enroll the elderly in proportion to their prevalence among the treated population. Outcomes of particular relevance to the older adult, such as quality of life, physical function, and independence, should also be evaluated, and geriatric conditions unique to this age group, such as frailty and cognitive impairment, should be considered for their influence on care and outcomes. With these efforts, treatment risks can be minimized, and benefits can be placed within the health context of the elderly patient.

Background— Age is an important determinant of outcomes for patients with acute coronary syndromes (ACS); however, community practice reveals a disproportionately lower use of cardiovascular medications and invasive treatment even among elderly patients with ACS who would stand to benefit. Reasons include limited trial data to guide the care of older adults and uncertainty about benefits and risks, particularly with newer medications or invasive treatments and in the setting of advanced age or complex health status. Methods and Results— This 2-part American Heart Association scientific statement summarizes evidence on patient heterogeneity, clinical presentation, and treatment of non–ST-elevation ACS in relation to age ( Conclusions— Although a few recent trials have described treatment effects in older patients, others continue to exclude patients on the basis of age. Going forward, prospective trials should enroll elderly subjects proportionate to their prevalence among the treated population to define risk and benefit. Findings from age subgroup analyses should be reported in a consistent manner across trials, including absolute and relative risks for efficacy and safety. Outcomes of particular relevance to the elderly, such as quality of life, physical function, and independence, should also be considered. Creatinine clearance should be calculated for every elderly patient to enable appropriate dosing. In addition, physicians need an understanding of conditions unique to older patients (eg, frailty, cognitive impairment) that influence treatment goals and outcomes. With these efforts, treatment risks can be minimized, and benefits can be placed in the health context of the elderly patient with ACS.

Models of care coordination can significantly improve health outcomes for older adults with chronic illnesses if they can engage participants. The purpose of this study was to examine the impact of nursing contact on the rate of participants' voluntary disenrollment from a care coordination program. In this retrospective cohort study using administrative data for 1,524 participants in the Health Quality Partners Medicare Care Coordination Demonstration Program, the rate of voluntary disenrollment was approximately 11%. A lower risk of voluntary disenrollment was associated with a greater proportion of in-person (vs. telephonic) nursing contact (Hazard Ratio [HR] 0.137, confidence interval [CI] [0.050, 0.376]). A higher risk of voluntary disenrollment was associated with lower continuity of nurses who provided care (HR 1.964, CI [1.724, 2.238]). Findings suggest that in-person nursing contact and care continuity may enhance enrollment of chronically ill older adults and, ultimately, the overall health and well-being of this population.

Objectives To describe the time to first acute care use (e.g., emergency department (ED) use without hospitalization or rehospitalization) for older adults discharged to home after receiving postacute care in skilled nursing facilities (SNFs); to identify predictors of first acute care use. Design Retrospective cohort study using administrative claims data. Setting SNFs providing postacute care for patients in North and South Carolina (N = 1,474). Participants A cohort of Medicare beneficiaries aged 65 and older (N = 55,980) who were hospitalized and then transferred to a SNF for postacute care and subsequently discharged home (January 1, 2010, to August 31, 2011). Measurements Medicare institutional claims data (Parts A and B) and Medicare enrollment data were used; facility-level variables were obtained from CMS Nursing Home Compare. Survival from SNF discharge to first acute care use was explored. Cox proportional hazards regression models were used to describe individual-, home care–, and nursing facility–level predictors. Results After discharge from SNF to home, 22.1% of older adults had an episode of acute care use within 30 days, including 7.2% with an ED visit without hospitalization and 14.8% with a rehospitalization; 37.5% of older adults had their first acute care use within 90 days. Male sex, dual eligibility status, higher Charlson comorbidity score, certain primary diagnoses at index hospitalization (neoplasms and respiratory disease), and care in SNFs with for-profit ownership or fewer licensed practical nurses hours per patient-day were associated with greater likelihood of acute care use. Conclusion Medicare beneficiaries have a high use of acute care services after discharge from SNFs, and several factors associated with acute care use are potentially modifiable. Findings suggest the need for interventions to support beneficiaries as they transition from SNFs to home.

This study is a secondary analysis of patient records written by advanced practice nurses (APNs) as they provided discharge planning and 4 weeks of home follow-up to elderly patients hospitalized with common medical and surgical conditions. The purposes of this study were to examine the problems experienced by elders who were hospitalized and discharged to home, the interventions used by APNs as they cared for these patients, and the linkages between patient problems and APN interventions. Care logs written by the APNs to document the patient problems and nursing interventions were content analyzed and coded using the Problem Classification Scheme and Intervention Scheme of the Omaha System. The results provided a description of the 10 most frequent problems experienced by the patients linked with the APN's interventions. The study provides a description of the nature and complexity of patient problems as they transition from hospital to home and increases our understanding of the contribution of APNs to the care of elders.

The growing number of individuals with comorbidities experiencing care transitions represents a challenge to the current health care system. A qualitative study of empirical literature, using the Dimensional Analysis approach, was conducted to elucidate the theoretical underpinnings of the phenomenon of individuals with comorbidities undergoing care transitions. The findings were arranged in a novel schematic demonstrating that the relationship among individual attributes, comorbidities, and care processes informed the individual's risk for adverse outcomes. This schematic is useful for future nursing research studies evaluating innovative programs implemented to improve health outcomes among vulnerable populations undergoing care transitions.

The complexities of cancer and its treatment, rapid advances in biomedical science and technology, growing concerns about the quality of health care, and intense competition for limited research dollars contribute to the urgent need for interdisciplinary collaboration in cancer research. Collaboration in the design and implementation of significant research initiatives will advance the discovery of knowledge to improve outcomes for patients and care providers, with both medicine and nursing standing to benefit from close collaboration. In this editorial, we explore the concept of interdisciplinary research collaboration specifically between nursing and medicine, and draw on the interdisciplinary research experiences of the authors. Interdisciplinary collaboration is extensively described in the health professional literature and promoted by organizations such as the American Society of Clinical Oncology, the National Academies of Practice, and the W.K. Kellogg Foundation as well as our respective professional organizations. Notably, the American Society of Clinical Oncology’s strategic plan [1] includes within its first goal the objective to promote multidisciplinary cancer prevention, management, and research. Collaboration in clinical research is defined as a complex phenomenon that brings together two or more individuals, often from different professional disciplines, who work to achieve shared aims and objectives [2]. It is well established that interdisciplinary collaboration offers great potential. The sharing of ideas across disciplines enables a comprehensive and intellectually vibrant examination of the research problem at hand [2,3]. Interdisciplinary research is of utmost importance in the current period of rapid scientific and technologic discovery coupled with urgent medical and social problems. In this climate, scientists of diverse backgrounds must be willing to share expertise and resources to expand cross-cutting research capacity to improve patient outcomes [4,5]. Although research collaboration is viewed as important in improving health outcomes, little is written about the process of collaboration, and its benefits [6]. It is recognized that diversity of backgrounds and viewpoints, vigorous debate, and respectful disagreement enriches the process [7] and that commitment to common goals contributes to enduring and effective collaborative research partnerships. Lancaster [8] described the collaborative process as consisting of six Cs: contribution, communication, commitment, consensus, compatibility, and credit. Particular to research collaboration between physicians and nurses, the traditional hierarchical nurse-physician relationship is gradually evolving into a collaborative model [9,10]. Historically, physicians assumed the lead role in many collaborative research initiatives. However, contemporary research collaboration between physicians and nurses is more often nonhierarchical in nature, with the implied assumption that power is based on knowledge and expertise, rather than role or function [6-12]. The synergism that results from a successful collaborative relationship between a physician and nurse yields combined outcomes greater than the sum of individual actions [13,14]. For nurse-physician research collaboration to work well, shared interests and open lines of communication are required. Goals, objectives, roles, processes, and outcomes must be explicitly articulated and agreed on by members of the collaborating team. Details about when and how to collaborate, how to structure interactions, and how to evaluate outcomes must be negotiated. Wellarticulated and deliberate strategies ought to be in place JOURNAL OF CLINICAL ONCOLOGY COMMENTS AND CONTROVERSIES VOLUME 22 NUMBER 5 MARCH 1 2004

To address the pending public health crisis due to Alzheimer's disease (AD) and related neurodegenerative disorders, the Marian S. Ware Alzheimer Program at the University of Pennsylvania held a meeting entitled "State of the Science Conference on the Advancement of Alzheimer's Diagnosis, Treatment and Care," on June 21-22, 2012. The meeting comprised four workgroups focusing on Biomarkers; Clinical Care and Health Services Research; Drug Development; and Health Economics, Policy, and Ethics. The workgroups shared, discussed, and compiled an integrated set of priorities, recommendations, and action plans, which are presented in this article. © 2012 The Alzheimer's Association. All rights reserved.

Close to 50% of adults over age 65 years have three or more chronic illnesses and over 20% live with more than five chronic conditions (G. Anderson & Horvath, 2002). Comorbidity is associated with numerous adverse effects including poor quality of life, polypharmacy and increased adverse drug events, increased use of health care resources, increased mortality, and caregiver (CG) burden (Boyd et al., 2007; Gijsen et al., 2001; McGlynn et al., 2003). The posthospitalization period is an extremely vulnerable time for these individuals. Cognitive impairment (defined in this study as a diagnosis of dementia or delirium or as deficits in orientation, recall, or executive function) is one of the most common comorbidities seen in an older adult population, and its presence compounds the management as well as the complications associated with multiple illnesses, including a greater risk for morbidity, preventable rehospitalizations, and decreased survival (Feil, Marmon, & Unuizer, 2003; Zuccala et al., 2003). Research has also demonstrated that chronic cognitive impairment typically worsens during hospitalization for a variety of reasons, that delirium is also highly prevalent in hospitalized elderly individuals, and that preexisting cognitive impairment can increase hospitalized patients’ level of vulnerability to adverse events as well as CG burden and CG stress posthospitalization (Bell, Araki, & Neumann, 2001; Inouye, 2006). To address the issues surrounding an increasingly elderly population and test strategies for reducing the adverse effects of hospitalization for cognitively impaired older adults, we conducted a study of an advanced practice nurse (APN)-led Transitional Care Model (TCM; M. Naylor et al., 1994; M. D. Naylor et al., 1999, 2004) intervention. The TCM has been tested with cognitively intact older adults in previous research (M. Naylor et al., 1994; M. D. Naylor et al., 1999, 2004); in this article, we report the findings of an exploratory, qualitative descriptive content analysis focused on the barriers and facilitators associated with implementing this model in a population of cognitively impaired older adults and their family CGs.

Under the Affordable Care Act of 2010, a variety of transitional care programs and services have been established to improve quality and reduce costs. These programs help hospitalized patients with complex chronic conditions-often the most vulnerable-transfer in a safe and timely manner from one level of care to another or from one type of care setting to another. We conducted a systematic review of the research literature and summarized twenty-one randomized clinical trials of transitional care interventions targeting chronically ill adults. We identified nine interventions that demonstrated positive effects on measures related to hospital readmissions-a key focus of health reform. Most of the interventions led to reductions in readmissions through at least thirty days after discharge. Many of the successful interventions shared similar features, such as assigning a nurse as the clinical manager or leader of care and including in-person home visits to discharged patients. Based on these findings, we recommend several strategies to guide the implementation of transitional care under the Affordable Care Act, such as encouraging the adoption of the most effective interventions through such programs as the Community-Based Care Transitions Program and Medicare shared savings and payment bundling experiments.

Purpose To be eligible for the Medicare Hospice Benefit, cancer patients with a life expectancy of 6 months or less must give up curative treatment. Our goal was to determine whether willingness to make this choice identifies patients with greater need for hospice services. Patients and Methods Three hundred patients with cancer and 171 family members were recruited from six oncology practices. Respondents completed conjoint interviews in which their perceived need for five hospice services was calculated from the choices they made among combinations of services. Patients' preferences for treatment were measured, and patients were followed for 6 months or until death. Results Thirty-eight patients (13%) said they would not want cancer treatment even if it offered an almost 100% chance of 6-month survival. These patients, who would have been eligible for hospice, did not have greater perceived need for hospice services compared with other patients (n = 262; mean, 1.75 v 1.98; Wilcoxon rank sum test, P = .46), nor did their family members (mean, 1.95 v 2.04; Wilcoxon rank sum test, P = .80). Instead, independent predictors of patients' perceived need for hospice services included African American ethnicity, less social support, worse functional status, and a greater burden of psychological symptoms. For families, predictors included caregiver burden, worse self-reported health, working outside the home, and caring for a patient with worse functional status. Conclusion The requirement that patients forgo life-sustaining treatment does not identify patients with greater perceived need for hospice services. Other characteristics offer a better way to identify the patients who are most likely to benefit from hospice.

Purpose Hospice services are designed to meet the needs of patients near the end of life. Although so-called open-access hospice programs and bridge programs are beginning to offer these services to patients who are still receiving treatment, it is not known whether they best meet patients’ needs. Patients and Methods Three hundred adult patients receiving treatment for cancer completed interviews in which each patient's value or ability for supportive care services were calculated from the choices that they made among combinations of those services. Preferences for five traditional hospice services and six alternative supportive care services were measured, and patients were followed up for 6 months or until death. Results Patients’ utilities for alternative services were higher than those for traditional hospice services (0.53 v 0.39; sign-rank test P < .001). Alternative services were also preferred among patients with poor functional status (Eastern Cooperative Oncology Group performance score > 2; n = 54; 0.65 v 0.48; P < .001) and among those who were in the last 6 months of life (0.68 v 0.56; sign-rank test P = .003). Even patients who were willing to forgo cancer treatment (n = 38; 13%) preferred alternative services (3.1 v 1.8; P < .001). Conclusion Patients who are receiving active treatment for cancer, and even those who are willing to stop treatment, express a clear preference for alternative supportive care services over traditional hospice services. Supportive care programs for patients with advanced cancer should reconsider the services that they offer and might seek to include novel services in addition to, or perhaps instead of, traditional hospice services.

To examine the effectiveness of a transitional care intervention delivered by advanced practice nurses (APNs) to elders hospitalized with heart failure.Randomized, controlled trial with follow-up through 52 weeks postindex hospital discharge.Six Philadelphia academic and community hospitals.Two hundred thirty-nine eligible patients were aged 65 and older and hospitalized with heart failure.A 3-month APN-directed discharge planning and home follow-up protocol.Time to first rehospitalization or death, number of rehospitalizations, quality of life, functional status, costs, and satisfaction with care.Mean age of patients (control n=121; intervention n=118) enrolled was 76; 43% were male, and 36% were African American. Time to first readmission or death was longer in intervention patients (log rank chi(2)=5.0, P=.026; Cox regression incidence density ratio=1.65, 95% confidence interval=1.13-2.40). At 52 weeks, intervention group patients had fewer readmissions (104 vs 162, P=.047) and lower mean total costs ($7,636 vs $12,481, P=.002). For intervention patients, only short-term improvements were demonstrated in overall quality of life (12 weeks, P.05), physical dimension of quality of life (2 weeks, P.01; 12 weeks, P.05) and patient satisfaction (assessed at 2 and 6 weeks, P.001).A comprehensive transitional care intervention for elders hospitalized with heart failure increased the length of time between hospital discharge and readmission or death, reduced total number of rehospitalizations, and decreased healthcare costs, thus demonstrating great promise for improving clinical and economic outcomes.

Efforts to provide high quality health care services while controlling health care costs have resulted in dramatic changes in health care systems, the delivery of health care services, and methods of reimbursement in the United States (American Medical Association, 2000; Baradell & Hanrahan, 2000; Goldfield, 2000; Lesser & Ginsburg, 2001; Oz et al., 2001). In these changed systems of care, providing high quality services while controlling costs remains an essential objective. Wellness programs and ambulatory care services including day surgery have shown cost savings while providing quality services (Drinkard et al., 2001). Care for people with major illnesses has raised more complex challenges for cost containment because of the need for costly procedures and drugs, adequate lengths of hospital stay, home care services, and continuity of care between health care settings and patients' homes. Maintaining continuity of care through the use of home care services has been linked to improved patient and family outcomes (Kearney, York, & Deatrick, 2000). However, recent reductions in reimbursement for home care services have the potential for loss of health gains and increased use of hospital and acute care services (Goldfield, 2000). Achieving high quality health care services and reasonable health care costs requires testing and evaluating types and levels of services capable of maintaining health at reasonable cost. Such testing requires knowledge of the problems of specific patients' groups needing health care services, provider interventions, provider time and number of patient contacts associated with optimal patient outcomes, and whether provider interventions could be more efficient and cost effective (Daly, Maas, & Johnson, 1997; Delaney, Reed, & Clarke, 2000; O'Conner, Kershaw, & Hameister, 2001; Stange et al., 1998). These issues are critical when the contracted care involves high-risk, high-cost, high-volume groups. To achieve this end, data are needed to accurately and adequately document health care problems of specific patient groups, to examine the processes of care, and to establish links among process, desired health outcomes, and consumer satisfaction. This analysis was conducted to determine those linkages.

Dramatic changes in health care have occurred over the past 2 decades resulting in merged health systems, shortened hospital stays, rapid growth of outpatient and home care services and changed systems of reimbursement (Lesser & Ginsburg, 2001). The goal is to provide the most effective health care services at the lowest cost. Examining the effectiveness of health care providers has accompanied these changes. Today’s data-driven health care systems require that provider practices are based on evidence and that provider time and number of patient contacts be justified (Delaney, Reed, & Clarke, 2000). In 1980, responding to changes occurring in health care, a team of researchers at the University of Pennsylvania developed a model of transitional care delivered by advanced practice nurses (APNs) that could serve as a safety net for vulnerable patient groups being discharged early from hospitals; this approach might maintain quality care and reduce health care costs (Brooten, Brown et al., 1988). Since 1980 research with this model of care has been conducted in two phases. The first phase, which remains ongoing, focused on testing, refining, and modifying the model for use with different patient groups. Consistent success in improving patient outcomes and reducing health care costs in patient groups in which the model has been tested led to the second phase of research. This second phase is focused on delineating the reasons for the model’s success by linking patient outcomes and costs of care with the process of care. This ongoing research includes examination of patient problems that require more APN rime and contacts, profiles of individual patients who require more APN time and contacts, and APN interventions used in providing transitional care (Brooten, Youngblut, Deatrick, Naylor, & York, 1997–2001). The purpose of this article is to describe the development, testing, modification, and results of this model of APN transitional care on patient outcomes and health care costs, and to delineate what has been learned for nursing education, practice, and further research.

OBJECTIVES: Describe the characteristics of hospitalized older adults who were not referred for home care, compare the referral decisions of hospital clinicians with those of nurses with expertise in discharge planning and transitional care, and compare the characteristics of hospitalized older adults who did not receive a home care referral with patients who did receive a home care referral. DESIGN: Secondary analysis, descriptive, case series. SETTING: Subjects were discharged to home from one of two urban hospitals in Philadelphia, Pennsylvania. PARTICIPANTS: Ninety-nine patients for this study were drawn from the control group (n = 186) of a prior randomized clinical trial of advanced practice nurse hospital discharge planning and home follow-up. These 99 patients, or 56% of the control group, did not receive a home care referral even though they were screened into the original study as meeting at least one of the risk criteria associated with poor postdischarge outcomes. MEASUREMENTS: Case studies were generated from research records of the control group patients who did not receive a home care referral. They included patient sociodemographic and health characteristics. Nurses with expertise in discharge planning and transitional care, blinded to the actual decision, reviewed each case study and made a referral decision. RESULTS: Case studies revealed that control group patients, discharged without home follow-up, had many characteristics associated with the need for a home care referral, with the likelihood of receiving a referral, or with developing poor postdischarge outcomes. Overall, compared with control group patients who did not receive home care, those who did were older, had a longer hospital stay, more often rated their health as fair or poor, and had worse functional status. However, transitional care nurses judged that 96 of 99 of the control group patients discharged without home care had unmet discharge needs that may have benefited from a postdischarge referral. In addition, the transitional care nurses identified 49 of these 99 patients as having a high-priority need for home care. These patients had at least three of the characteristics associated with the need for a home care referral, the likelihood of receiving a referral, or of developing poor postdischarge outcomes. High-priority patients were significantly different in many sociodemographic and health characteristics and were rehospitalized significantly more often than other control group patients who were discharged without home care (P =.032). CONCLUSION: Study findings have demonstrated that the majority of older adults in this sample were discharged without postdischarge referrals despite the presence of several characteristics associated with the need for home care and risk of poor discharge outcomes. Findings suggest the need for improved methods to identify and synthesize patient characteristics associated with the need for postdischarge referral and to support clinical decision-making. Insurance or homebound status should also he explored as barriers to patients receiving the postdischarge care that they need.