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This perspective paper seeks to lay out an efficient approach for health care providers, researchers, and other stakeholders involved in interventions aimed at improving care coordination to partner in locating and using applicable care coordination theory. The objective is to learn from relevant theory-based literature about fit between intervention options and coordination needs, thereby bringing insights from theory to enhance intervention design, implementation, and troubleshooting. To take this idea from an abstract notion to tangible application, our workgroup on models and measures from the Veterans Health Administration (VA) State of the Art (SOTA) conference on care coordination first summarizes our distillation of care coordination theoretical frameworks (models) into three common conceptual domains-context of an intervention, locus in which an intervention is applied, and specific design features of the intervention. Then we apply these three conceptual domains to four cases of care coordination interventions ("use cases") chosen to represent various scopes and stages of interventions to improve care coordination for veterans. Taken together, these examples make theory more accessible and practical by demonstrating how it can be applied to specific cases. Drawing from theory offers one method to anticipate which intervention options match a particular coordination situation. [ABSTRACT FROM AUTHOR]

Background: Narrow definitions of long-term opioid (LTO) use result in limited knowledge of the full range of LTO prescribing patterns and the rates of these patterns.Objective: To investigate a model of new LTO prescribing typologies using latent class analysis.Design: National administrative data from the VA Corporate Data Warehouse were accessed using the VA Informatics and Computing Infrastructure. Characterization of the typology of initial LTO prescribing was explored using latent class analysis.Participants: Veterans initiating LTO during 2016 through the Veteran's Administration Healthcare System (N = 42,230).Main Measures: Opioid receipt as determined by VA prescription data, using the cabinet supply methodology.Key Results: Over one-quarter (27.7%) of the sample fell into the fragmented new long-term prescribing category, 39.8% were characterized by uniform daily new LTO, and the remaining 32.7% were characterized by uniform episodic LTO. Each of these three broad sub-groups also included two additional sub-groups (6 classes total in the model), characterized by the presence or absence of prior opioid prescriptions.Conclusions: New LTO prescribing in the VA includes uniform daily prescribing, uniform episodic prescribing, and fragmented prescribing. Future work is needed to elucidate the safety and efficacy of these prescribing patterns. [ABSTRACT FROM AUTHOR]

Background: On July 1, 2018, the Veterans Health Administration (VA) National Center for Ethics in Health Care implemented the Life-Sustaining Treatment Decisions Initiative (LSTDI). Its goal is to identify, document, and honor LST decisions of seriously ill veterans. Providers document veterans' goals and decisions using a standardized LST template and order set.Objective: Evaluate the first 7 months of LSTDI implementation and identify predictors of LST template completion.Design: Retrospective observational study of clinical and administrative data. We identified all completed LST templates, defined as completion of four required template fields. Templates also include four non-required fields. Results were stratified by risk of hospitalization or death as estimated by the Care Assessment Need (CAN) score.Subjects: All veterans with VA utilization between July 1, 2018, and January 31, 2019.Main Measures: Completed LST templates, goals and LST preferences, and predictors of documentation.Results: LST templates were documented for 108,145 veterans, and 85% had one or more of the non-required fields completed in addition to the required fields. Approximately half documented a preference for cardiopulmonary resuscitation. Among those who documented specific goals, half wanted to improve or maintain function, independence, and quality of life while 28% had a goal of life prolongation irrespective of risk of hospitalization/death and 45% expressed a goal of comfort. Only 7% expressed a goal of being cured. Predictors of documentation included VA nursing home residence, older age, frailty, and comorbidity, while non-Caucasian race, rural residence, and receipt of care in a lower complexity medical center were predictive of no documentation.Conclusions: LST decisions were documented for veterans at high risk of hospitalization or death. While few expressed a preference for cure, half desire, cardiopulmonary resuscitation. Predictors of documentation were generally consistent with existing literature. Opportunities to reduce observed disparities exist by leveraging available VA resources and programs. [ABSTRACT FROM AUTHOR]

Background: Personalized care planning is a patient-centered, whole-person approach to treatment planning. Personalized care plans improve patient outcomes and are now mandated for chronic care management reimbursement. Yet guidance on how to best implement personalized care planning in practice is limited.Objective: We examined the adoption of personalized care planning in patient-centered medical home (PCMH) clinics to identify processes and organizational characteristics that facilitated or hindered use in routine practice.Design: Qualitative multiple-case study design. We conducted site visits at PCMH clinics in four US Veterans Health Administration (VHA) medical centers. Data included 10 general clinic observations, 34 direct observations of patient-provider clinical encounters, 60 key informant interviews, and a document review. Data were analyzed via qualitative content analysis using a priori and emergent coding.Participants: Employees and patients participating in clinical encounters in PCMH clinics at four VHA medical centers.Key Results: Each clinic used a distinct approach to personalized care planning: (1) distributed tasks approach; (2) two-tiered approach; (3) health coaching approach; and (4) leveraging a village approach. Each varied in workflow, healthcare team utilization, and degree of integration into clinical care. Across sites, critical components for implementation included expanding planning beyond initial assessment of patient priorities; framing the initiative for patients; using a team-based approach to care plan development and updates; using communication mechanisms beyond the electronic health record; and engaging stakeholders in implementation planning.Conclusions: Personalized care planning is a novel patient-centered practice, but complicated to implement. We found variation in effective implementation and identified critical components to structuring this practice in a manner that engages patients in treatment aligned with personal priorities. Primary care practices seeking to implement personalized care planning must go beyond simply asking patients a series of questions to establish a plan. They must also engage team members in plan development, communication, and dissemination. [ABSTRACT FROM AUTHOR]

Objectives: Non-pharmacological treatment options for common conditions such as chronic pain, anxiety, and depression are being given increased consideration in healthcare, especially given the recent emphasis to address the opioid crisis. One set of non-pharmacological treatment options are evidence-based complementary and integrative health (CIH) approaches, such as yoga, acupuncture, and meditation. The Veterans Health Administration (VHA), the nation's largest healthcare system, has been at the forefront of implementing CIH approaches, given their patients' high prevalence of pain, anxiety, and depression. We aimed to conduct the first national survey of veterans' interest in and use of CIH approaches.Methods: Using a large national convenience sample of veterans who regularly use the VHA, we conducted the first national survey of veterans' interest in, frequency of and reasons for use of, and satisfaction with 26 CIH approaches (n = 3346, 37% response rate) in July 2017.Results: In the past year, 52% used any CIH approach, with 44% using massage therapy, 37% using chiropractic, 34% using mindfulness, 24% using other meditation, and 25% using yoga. For nine CIH approaches, pain and stress reduction/relaxation were the two most frequent reasons veterans gave for using them. Overall, 84% said they were interested in trying/learning more about at least one CIH approach, with about half being interested in six individual CIH approaches (e.g., massage therapy, chiropractic, acupuncture, acupressure, reflexology, and progressive relaxation). Veterans appeared to be much more likely to use each CIH approach outside the VHA vs. within the VHA.Conclusions: Veterans report relatively high past-year use of CIH approaches and many more report interest in CIH approaches. To address this gap between patients' level of interest in and use of CIH approaches, primary care providers might want to discuss evidence-based CIH options to their patients for relevant health conditions, given most CIH approaches are safe. [ABSTRACT FROM AUTHOR]

Objective: Understanding how to successfully implement care coordination programs across diverse settings is critical for disseminating best practices. We describe how we operationalized the Practical Robust Implementation and Sustainability Model (PRISM) to guide the assessment of local context prior to implementation of the rural Transitions Nurse Program (TNP) at five facilities across the Veterans Health Administration (VHA).Methods: We operationalized PRISM to create qualitative data collection techniques (interview guides, semi-structured observations, and a group brainwriting premortem) to assess local context, the current state of care coordination, and perceptions of TNP prior to implementation at five facilities. We analyzed data using deductive-inductive framework analysis to identify themes related to PRISM. We adapted implementation strategies at each site using these findings.Results: We identified actionable themes within PRISM domains to address during implementation. The most commonly occurring PRISM domains were "organizational characteristics" and "implementation and sustainability infrastructure." Themes included a disconnect between primary care and hospital inpatient teams, concerns about work duplication, and concerns that one nurse could not meet the demand for the program. These themes informed TNP implementation.Conclusions: The use of PRISM for pre-implementation site assessments yielded important findings that guided adaptations to our implementation approach. Further, barriers and facilitators to TNP implementation may be common to other care coordination interventions. Generating a common language of barriers and facilitators in care coordination initiatives will enhance generalizability and establish best practices.Impact Statements: TNP is a national intensive care coordination program targeting rural Veterans. We operationalized PRISM to guide implementation efforts. We effectively elucidated facilitators, barriers, and unique contextual factors at diverse VHA facilities. The use of PRISM enhances the generalizability of findings across care settings and may optimize implementation of care coordination interventions in the VHA. [ABSTRACT FROM AUTHOR]

Background: Patient-reported experience measures (PREMs) are useful for assessing health care quality and safety and patients' perceptions of health care.Objective: We aimed to assess the relationship between PREMS [e.g., measures of patient-centered care (PCC)] and health care quality metrics.Design: We conducted a national survey via mail. Survey data were supplemented with US Department of Veteran Affairs (VA) administrative data.Participants: Veteran (n = 5512) VA health care users participated in the study.Main Measures: PCC measures included: patient activation; shared decision-making (SDM); empathy and holistic care; chronic illness care; perceptions of participation, respect for choices, and support; and overall health care experience. Health care quality measures included: preventive care screening receipt; chronic condition management (diabetes, hypertension); and health care utilization (hospitalizations, emergency room (ER) visits). Analyses included: bivariate comparisons of PCC measures by health care quality measures; and multivariate linear regression to identify variables associated with attaining multiple positive health care quality indicators (when controlling for potential confounders).Key Results: PREMs assessing factors relating to patient-provider communication (e.g., empathic provider care, shared decision-making) are mainly related to clinical indicators representing good chronic condition management, while those relating more broadly to health care in general (e.g., patient activation, chronic illness care) are mainly related to measures of appropriate health care use (e.g., preventive care screening receipt; potentially avoidable hospitalizations; unscheduled care, such as ER visits). When controlling for potential confounders, higher perceptions of the decision-making effectiveness component of SDM (β = 0.004, p = 0.03) and empathy and holistic care (β = 0.01, p = 0.02) showed a weak but positive relationship with attaining a greater number of positive health care quality indicators, while a weak but negative relationship emerged for perceptions of participation, respect for choices, and support (β = -0.003, p = 0.03) and overall VA experiences (β = -0.10, p = 0.04).Conclusions: PREMs that measure PCC offer rich data about health care quality while engaging patients, and considering patient experiences and preferences, in performance assessment. PREMs may be used to supplement existing performance metrics. [ABSTRACT FROM AUTHOR]

Background: Clinical-performance measurement has helped improve the quality of health-care; yet success in attaining high levels of quality across multiple domains simultaneously still varies considerably. Although many sources of variability in care quality have been studied, the difficulty required to complete the clinical work itself has received little attention.Objective: We present a task-based methodology for evaluating the difficulty of clinical-performance measures (CPMs) by assessing the complexity of their component requisite tasks.Design: Using Functional Job Analysis (FJA), subject-matter experts (SMEs) generated task lists for 17 CPMs; task lists were rated on ten dimensions of complexity, and then aggregated into difficulty composites.Participants: Eleven outpatient work SMEs; 133 VA Medical Centers nationwide.Main Measures: Clinical Performance: 17 outpatient CPMs (2000-2008) at 133 VA Medical Centers nationwide. Measure Difficulty: for each CPM, the number of component requisite tasks and the average rating across ten FJA complexity scales for the set of tasks comprising the measure.Key Results: Measures varied considerably in the number of component tasks (M = 10.56, SD = 6.25, min = 5, max = 25). Measures of chronic care following acute myocardial infarction exhibited significantly higher measure difficulty ratings compared to diabetes or screening measures, but not to immunization measures ([Formula: see text] = 0.45, -0.04, -0.05, and -0.06 respectively; F (3, 186) = 3.57, p = 0.015). Measure difficulty ratings were not significantly correlated with the number of component tasks (r = -0.30, p = 0.23).Conclusions: Evaluating the difficulty of achieving recommended CPM performance levels requires more than simply counting the tasks involved; using FJA to assess the complexity of CPMs' component tasks presents an alternate means of assessing the difficulty of primary-care CPMs and accounting for performance variation among measures and performers. This in turn could be used in designing performance reward programs, or to match workflow to clinician time and effort. [ABSTRACT FROM AUTHOR]