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PURPOSE Efforts to better understand the impact of clinic member relationships on care quality in primary care clinics have been limited by the absence of a validated instrument to assess these relationships. The purpose of this study was to develop and validate a scale assessing relationships within primary care clinics. METHODS The Work Relationships Scale (WRS) was developed and administered as part of a survey of learning and relationships among 17 Department of Veterans Affairs (VA) primary care clinics. A Rasch partial-credit model and principal components analysis were used to evaluate item performance, select the final items for inclusion, and establish unidimensionality for the WRS. The WRS was then validated against semistructured clinic member interviews and VA Survey of Healthcare Experiences of Patients (SHEP) data. RESULTS Four hundred fifty-seven clinicians and staff completed the clinic survey, and 247 participated in semistructured interviews. WRS scores were significantly associated with clinic-level reporting for 2 SHEP variables: overall rating of personal doctor/nurse (r2 = 0.43, P <.01) and overall rating of health care (r2 = 0.25, P <.05). Interview data describing relationship characteristics were consistent with variability in WRS scores across low-scoring and high-scoring clinics. CONCLUSIONS The WRS shows promising validity as a measure assessing the quality of relationships in primary care settings; moreover, primary care clinics with lower WRS scores received poorer patient quality ratings for both individual clinicians and overall health care. Relationships play an important role in shaping care delivery and should be assessed as part of efforts to improve patient care within primary care settings. [ABSTRACT FROM AUTHOR]

The article discusses practice facilitation cost. A research was done to find the variable cost associated with practice facilitation activities. It states that it was found that depending on the facilitator wages, and on the intervention, the cost of practice facilitation ranged between 9,670 dollars and 15,098 per practice per year and states that it has the potential to be cost neutral from a societal prospective.

The article discusses a study conducted to determine the association between practice member perceptions of relational coordination and reciprocal learning with the presence of Chronic Care Model(CCM) elements in community-based primary care practices. Strategies to strengthen relational coordination and reciprocal learning among team members should be incorporated while implementing complex models of care.

The article discusses a study which examined the concept of leader inclusiveness and how it can help introduce a culture of psychological safety in primary care clinics. The study used the Assessing Chronic Illness Care survey to divide clinics into two groups, and reveals that using strategies such as team huddles, regular meetings, and cross-training staff are effective in promoting leader inclusiveness. The article suggests that leader inclusiveness can help in redesigning primary care.

Background: Recent study of complex networks has yielded many new insights into phenomenon such as social networks, the internet, and sexually transmitted infections. The purpose of this analysis is to examine the properties of a network created by the 'co-care' of patients within one region of the Veterans Health Affairs. Methods: Data were obtained for all outpatient visits from 1 October 2006 to 30 September 2008 within one large Veterans Integrated Service Network. Types of physician within each clinic were nodes connected by shared patients, with a weighted link representing the number of shared patients between each connected pair. Network metrics calculated included edge weights, node degree, node strength, node coreness, and node betweenness. Log-log plots were used to examine the distribution of these metrics. Sizes of k-core networks were also computed under multiple conditions of node removal. Results: There were 4,310,465 encounters by 266,710 shared patients between 722 provider types (nodes) across 41 stations or clinics resulting in 34,390 edges. The number of other nodes to which primary care provider nodes have a connection (172.7) is 42% greater than that of general surgeons and two and one-half times as high as cardiology. The log-log plot of the edge weight distribution appears to be linear in nature, revealing a 'scale-free' characteristic of the network, while the distributions of node degree and node strength are less so. The analysis of the k-core network sizes under increasing removal of primary care nodes shows that about 10 most connected primary care nodes play a critical role in keeping the k-core networks connected, because their removal disintegrates the highest k-core network. Conclusions: Delivery of healthcare in a large healthcare system such as that of the US Department of Veterans Affairs (VA) can be represented as a complex network. This network consists of highly connected provider nodes that serve as 'hubs' within the network, and demonstrates some 'scale-free' properties. By using currently available tools to explore its topology, we can explore how the underlying connectivity of such a system affects the behavior of providers, and perhaps leverage that understanding to improve quality and outcomes of care. [ABSTRACT FROM AUTHOR]

The article focuses on a causal model that linked Participatory Decision Making (PDM) to improved clinical outcomes that included patient activation and medication adherence. It states that observational study was conducted in five family physician offices and diabetic patients. It reports that study of patients with type 2 diabetes resulted in improvements in hemoglobin levels and LDL cholesterol values by improving patient activation.

The article studies the link between quality of diabetes care delivered, the type and length of encounter and time to the next follow-up encounter. The authors observed the content of the physician-patient encounter in 20 primary care clinics for 211 patients with type 2 diabetes mellitus. The results showed that patients visiting for chronic disease follow-up were 4.8 times more likely to receive 100 percent of all indicated services. A mean length of 19.4 minutes was recorded to all encounters during which 100 percent of all indicated health services were delivered. The authors concluded that innovative approaches and new models are needed to improve the quality of diabetes care.

Objective: The purpose of the study was to evaluate the uses of handheld computers (also called personal digital assistants, or PDAs) in family practice residency programs in the United States.Study Design: In November 2000, the authors mailed a questionnaire to the program directors of all American Academy of Family Physicians (AAFP) and American College of Osteopathic Family Practice (ACOFP) residency programs in the United States.Measurements: Data and patterns of the use and non-use of handheld computers were identified.Results: Approximately 50 percent (306 of 610) of the programs responded to the survey. Two thirds of the programs reported that handheld computers were used in their residencies, and an additional 14 percent had plans for implementation within 24 months. Both the Palm and the Windows CE operating systems were used, with the Palm operating system the most common. Military programs had the highest rate of use (8 of 10 programs, 80 percent), and osteopathic programs had the lowest (23 of 55 programs, 42 percent). Of programs that reported handheld computer use, 45 percent had required handheld computer applications that are used uniformly by all users. Funding for handheld computers and related applications was non-budgeted in 76percent of the programs in which handheld computers were used. In programs providing a budget for handheld computers, the average annual budget per user was 461.58 dollars. Interested faculty or residents, rather than computer information services personnel, performed upkeep and maintenance of handheld computers in 72 percent of the programs in which the computers are used. In addition to the installed calendar, memo pad, and address book, the most common clinical uses of handheld computers in the programs were as medication reference tools, electronic textbooks, and clinical computational or calculator-type programs.Conclusions: Handheld computers are widely used in family practice residency programs in the United States. Although handheld computers were designed as electronic organizers, in family practice residencies they are used as medication reference tools, electronic textbooks, and clinical computational programs and to track activities that were previously associated with desktop database applications. [ABSTRACT FROM AUTHOR]

The article presents a summary of the report of the Agency for Healthcare Research and Quality and Mathematica Policy research which helps smaller primary care practices transform into effective medical homes that serve patients with complex needs in the U.S. It illustrates approaches for supporting and collaborating with smaller, independent primary care practices. In addition, the programs allow patients with complex needs to maintain existing relationships with their primary care clinicians.

Purpose: Despite the growing popularity of stepped-wedge cluster randomized trials (SW-CRTs) for practice-based research, the design's advantages and challenges are not well documented. The objective of this study was to identify the advantages and challenges of the SW-CRT design for large-scale intervention implementations in primary care settings.Methods: The EvidenceNOW: Advancing Heart Health initiative, funded by the Agency for Healthcare Research and Quality, included a large collection of SW-CRTs. We conducted qualitative interviews with 17 key informants from EvidenceNOW grantees to identify the advantages and challenges of using SW-CRT design.Results: All interviewees reported that SW-CRT can be an effective study design for large-scale intervention implementations. Advantages included (1) incentivized recruitment, (2) staggered resource allocation, and (3) statistical power. Challenges included (1) time-sensitive recruitment, (2) retention, (3) randomization requirements and practice preferences, (4) achieving treatment schedule fidelity, (5) intensive data collection, (6) the Hawthorne effect, and (7) temporal trends.Conclusions: The challenges experienced by EvidenceNOW grantees suggest that certain favorable real-world conditions constitute a context that increases the odds of a successful SW-CRT. An existing infrastructure can support the recruitment of many practices. Strong retention plans are needed to continue to engage sites waiting to start the intervention. Finally, study outcomes should be ones already captured in routine practice; otherwise, funders and investigators should assess the feasibility and cost of data collection.VISUAL ABSTRACT. [ABSTRACT FROM AUTHOR]

Purpose: We undertook a study to assess whether implementing 7 evidence-based strategies to build improvement capacity within smaller primary care practices was associated with changes in performance on clinical quality measures (CQMs) for cardiovascular disease.Methods: A total of 209 practices across Washington, Oregon, and Idaho participated in a pragmatic clinical trial that focused on building quality improvement capacity as measured by a validated questionnaire, the 12-point Quality Improvement Capacity Assessment (QICA). Clinics reported performance on 3 cardiovascular CQMs-appropriate aspirin use, blood pressure (BP) control (<140/90 mm Hg), and smoking screening/cessation counseling-at baseline (2015) and follow-up (2017). Regression analyses with change in CQM as the dependent variable allowed for clustering by practice facilitator and adjusted for baseline CQM performance.Results: Practices improved QICA scores by 1.44 points (95% CI, 1.20-1.68; P <.001) from an average baseline of 6.45. All 3 CQMs also improved: aspirin use by 3.98% (average baseline = 66.8%; 95% CI for change, 1.17%-6.79%; P = .006); BP control by 3.36% (average baseline = 61.5%; 95% CI for change, 1.44%-5.27%; P = .001); and tobacco screening/cessation counseling by 7.49% (average baseline = 73.8%; 95% CI for change, 4.21%-10.77%; P <.001). Each 1-point increase in QICA score was associated with a 1.25% (95% CI, 0.41%-2.09%, P = .003) improvement in BP control; the estimated likelihood of reaching a 70% BP control performance goal was 1.24 times higher (95% CI, 1.09-1.40; P <.001) for each 1-point increase in QICA.Conclusion: Improvements in clinic-level performance on BP control may be attributed to implementation of 7 evidence-based strategies to build quality improvement capacity. These strategies were feasible to implement in small practices over 15 months. [ABSTRACT FROM AUTHOR]

Purpose: The Trial of Aggregate Data Exchange for Maintenance of Certification and Raising Quality was a randomized controlled trial which first had to test whether quality reporting could be a by-product of clinical care. We report on the initial descriptive study of the capacity for and quality of exchange of whole-panel, standardized quality measures from health systems.Methods: Family physicians were recruited from 4 health systems with mature quality measurement programs and agreed to submit standardized, physician-level quality measures for consenting physicians. Identified measure or transfer errors were captured and evaluated for root-cause problems.Results: The health systems varied considerably by patient demographics and payer mix. From the 4 systems, 256 family physicians elected to participate. Of 19 measures negotiated for use, 5 were used by all systems. There were more than 15 types of identified errors including breaks in data delivery, changes in measures, and nonsensical measure results. Only 1 system had no identified errors.Conclusions: The secure transfer of standardized, physician-level quality measures from 4 health systems with mature measure processes proved difficult. There were many errors that required human intervention and manual repair, precluding full automation. This study reconfirms an important problem, namely, that despite widespread health information technology adoption and federal meaningful use policies, we remain far from goals to make clinical quality reporting a reliable by-product of care. [ABSTRACT FROM AUTHOR]

Passage of the Patient Protection and Affordable Care Act triggered 2 successive grant initiatives from the Agency for Healthcare Research and Quality, allowing for the evolution of health extension models among 20 states, not limited to support for in-clinic primary care practice transformation, but also including a broader concept incorporating technical assistance for practices and their communities to address social determinants of health. Five states stand out in stretching the boundaries of health extension: New Mexico, Oklahoma, Oregon, Colorado, and Washington. Their stories reveal lessons learned regarding the successes and challenges, including the importance of building sustained relationships with practices and community coalitions; of documenting success in broad terms as well as achieving diverse outcomes of meaning to different stakeholders; of understanding that health extension is a function that can be carried out by an individual or group depending on resources; and of being prepared for political struggles over "turf" and ownership of extension. All states saw the need for long-term, sustained fundraising beyond grants in an environment expecting a short-term return on investment, and they were challenged operating in a shifting health system landscape where the creativity and personal relationships built with small primary care practices was hindered when these practices were purchased by larger health delivery systems. [ABSTRACT FROM AUTHOR]

Background: It is difficult to reach migrant or refugee agricultural workers about pesticide exposure prevention. Here, we describe a community health worker (CHW)-led pesticide exposure prevention workshop and the impact of this program among migrant and refugee workers in Washington state., Methods: A focus group of migrants and refugees participated in the development of a CHW-led Spanish language pesticide exposure prevention mobile phone app and workshop. Pre- and post-workshop surveys assessed pesticide training, knowledge, and characteristics., Results: Community health workers facilitated 28 workshops attended by 263 participants from 49 agricultural communities. Approximately 79% of participants reported no prior pesticide training. Significant improvements were observed in the proportion familiar with illnesses associated with pesticides, knowledge about pesticide definition, ability to correctly identify the content of pesticide labels, and the correct method to wash fruits and vegetables., Conclusions: Community health workers are effective in addressing the gaps in pesticide safety education and awareness among migrant and refugee communities. Further work is needed to assess how to better integrate a mobile phone app into this training and subsequent use of the knowledge., Competing Interests: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article., (© The Author(s) 2024.)

Introduction: People enrolled in Medicaid managed care who struggle with diabetes control often have complex medical, behavioral, and social needs. Here the authors report the results of a program designed to partner with primary care teams to address those needs., Methods: A nonprofit organization partnered with a Medicaid managed care plan and a Federally Qualified Health Center in California to enroll people with A1cs > 9% in a 12-month program. The program team included a community health worker, certified diabetes care and education specialist/registered dietitian, behavioral health counselor, and registered nurse. They developed patient-led action plans, connected patients to community resources, and supported behavior changes to improve diabetes control. Baseline assessments of behavioral health conditions and social needs were collected. Monthly A1c values were tracked for participants and a comparison group., Results: Of the 51 people enrolled, 83% had at least 1 behavioral health condition. More than 90% reported at least 1 unmet social need. The average monthly A1c among program participants was 0.699 lower than the comparison group post-enrollment ( P = .0008), and the disparity in A1c between Hispanic and non-Hispanic White participants at enrollment declined., Discussion: Participants had high levels of unmet medical, behavioral, and social needs. Addressing these needs resulted in a rapid and sustained improvement in A1c control compared to non-enrollees and a reduction in disparity of control among Hispanic participants., Conclusion: By partnering with a primary care team, a program external to Federally Qualified Health Center primary care can improve clinical outcomes for people with complex needs living with diabetes., Competing Interests: Conflicts of InterestDr Penfold reports receiving research funding to his institution from SAGE Therapeutics, Biogen, Janssen Research and Development, and The Lundbeck Foundation. Avni C Shah, MD, is the founder and CEO of Vayu Health. No conflicts of interest exist for Michael L Parchman, MD, MPH, Kelsey Stefanik-Guizlo, MPH, or Erika Holden, BA.

Background: Creating useful clinical quality measure (CQM) reports in a busy primary care practice is known to depend on the capability of the electronic health record (EHR). Two other domains may also contribute: supportive leadership to prioritize the work and commit the necessary resources, and individuals with the necessary health information technology (IT) skills to do so. Here we describe the results of an assessment of the above 3 domains and their associations with successful CQM reporting during an initiative to improve smaller primary care practices' cardiovascular disease CQMs., Methods: The study took place within an AHRQ EvidenceNOW initiative of external support for smaller practices across Washington, Oregon and Idaho. Practice facilitators who provided this support completed an assessment of the 3 domains previously described for each of their assigned practices. Practices submitted 3 CQMs to the study team: appropriate aspirin prescribing, use of statins when indicated, blood pressure control, and tobacco screening/cessation., Results: Practices with advanced EHR reporting capability were more likely to report 2 or more CQMs. Only one-third of practices were "advanced" in this domain, and this domain had the highest proportion of practices (39.1%) assessed as "basic." The presence of advanced leadership or advanced skills did not appreciably increase the proportion of practices that reported 2 or more CQMs., Conclusions: Our findings support previous reports of limited EHR reporting capabilities within smaller practices but extend these findings by demonstrating that practices with advanced capabilities in this domain are more likely to produce CQM reports., Competing Interests: Conflict of interest: None., (© Copyright 2024 by the American Board of Family Medicine.)

Introduction: Citing high costs, limited diagnostic benefit, and ionizing radiation-associated risk from CT urogram, in 2020 the AUA revised its guidelines from recommending CT urogram for all patients with microscopic hematuria to a deintensified risk-stratified approach, including the deimplementation of low-value CT urogram (ie, not recommending CT urogram for patients with low- to intermediate-risk microscopic hematuria). Adherence to revised guidelines and reasons for continued low-value CT urogram are unknown., Methods: With the overarching objective of improving guideline implementation, we used a mixed-method convergent explanatory design with electronic health record data for a retrospective cohort at a single academic tertiary medical center in the southeastern United States and semistructured interviews with urology and nonurology providers to describe determinants of low-value CT urogram following guideline revision., Results: Of 391 patients with microscopic hematuria, 198 (51%) had a low-value CT urogram (136 [69%] pre-guideline revision, 62 [31%] postrevision). The odds of ordering a low-value CT urogram were lower after guideline revisions, but the change was not statistically significant (OR: 0.44, P = .08); odds were 1.89 higher ( P = .06) among nonurology providers than urology providers, but the difference was not statistically significant. Provider interviews suggested low-value CT urogram related to nonurology providers' limited awareness of revised guidelines, the role of clinical judgment in microscopic hematuria evaluation, and professional and patient influences., Conclusions: Our findings suggest low-value CT urogram deimplementation may be improved with guidelines and implementation support directed at both urology and nonurology providers and algorithms to support guideline-concordant microscopic hematuria evaluation approaches. Future studies should test these strategies.

Background: Healthcare facilitation, an implementation strategy designed to improve the uptake of effective clinical innovations in routine practice, has produced promising yet mixed results in randomized implementation trials and has not been fully researched across different contexts., Objective: Using mechanism mapping, which applies directed acyclic graphs that decompose an effect of interest into hypothesized causal steps and mechanisms, we propose a more concrete description of how healthcare facilitation works to inform its further study as a meta-implementation strategy., Methods: Using a modified Delphi consensus process, co-authors developed the mechanistic map based on a three-step process. First, they developed an initial logic model by collectively reviewing the literature and identifying the most relevant studies of healthcare facilitation components and mechanisms to date. Second, they applied the logic model to write vignettes describing how facilitation worked (or did not) based on recent empirical trials that were selected via consensus for inclusion and diversity in contextual settings (US, international sites). Finally, the mechanistic map was created based on the collective findings from the vignettes., Findings: Theory-based healthcare facilitation components informing the mechanistic map included staff engagement, role clarification, coalition-building through peer experiences and identifying champions, capacity-building through problem solving barriers, and organizational ownership of the implementation process. Across the vignettes, engagement of leaders and practitioners led to increased socialization of the facilitator's role in the organization. This in turn led to clarifying of roles and responsibilities among practitioners and identifying peer experiences led to increased coherence and sense-making of the value of adopting effective innovations. Increased trust develops across leadership and practitioners through expanded capacity in adoption of the effective innovation by identifying opportunities that mitigated barriers to practice change. Finally, these mechanisms led to eventual normalization and ownership of the effective innovation and healthcare facilitation process., Impact: Mapping methodology provides a novel perspective of mechanisms of healthcare facilitation, notably how sensemaking, trust, and normalization contribute to quality improvement. This method may also enable more efficient and impactful hypothesis-testing and application of complex implementation strategies, with high relevance for lower-resourced settings, to inform effective innovation uptake., (© 2023. This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.)

Objective: To improve patient safety and pain management, the Centers for Disease Control and Prevention (CDC) released the Guideline for Prescribing Opioids for Chronic Pain (CDC Guideline). Recognizing that issuing a guideline alone is insufficient for transforming practice, CDC supported an Opioid Quality Improvement (QI) Collaborative, consisting of 10 health care systems that represented more than 120 practices across the United States. The research team identified factors related to implementation success using domains described by the integrated Promoting Action on Research Implementation in Health Services (iPARIHS) implementation science framework., Methods: Data from interviews, notes from check-in calls, and documents provided by systems were used. The researchers collected data throughout the project through interviews, meeting notes, and documents., Results: The iPARIHS framework was used to identify factors that affected implementation related to the context, innovation (implementing recommendations from the CDC Guideline), recipient (clinicians), and facilitation (QI team). Contextual characteristics were at the clinic, health system, and broader external context, including staffing and leadership support, previous QI experience, and state laws. Characteristics of the innovation were its adaptability and challenges operationalizing the measures. Recipient characteristics included belief in the importance of the innovation but challenges engaging in the initiative. Finally, facilitation characteristics driving differential outcomes included staffing and available time of the QI team, the ability to make changes, and experience with QI., Conclusion: As health care systems continue to implement the CDC Guideline, these insights can advance successful implementation efforts by describing common implementation challenges and identifying strategies to prepare for and overcome them., (Copyright © 2022 The Authors. Published by Elsevier Inc. All rights reserved.)

Background: For people living with dementia (PLWD) the overuse of potentially inappropriate medications (PIMs) remains a persistent problem. De-prescribing trials in the elderly have mixed results. Clinician champions may be uniquely suited to lead efforts to address this challenge. Here we describe the study protocol for a 24-month embedded pragmatic cluster-randomized clinical trial within two accountable care organizations (ACOs) of such a clinician champion intervention. The specific aims are to (1) assess the effectiveness of a clinician champion on de-implementing PIMs in PLWD, (2) determine if the intervention is associated with a reduction in emergency department (ED) visits and hospitalizations attributed to a fall, and (3) examine five implementation outcomes: appropriateness, feasibility, fidelity, penetration, and equity., Methods/design: Two ACOs agreed to participate: United States Medical Management (USMM) and Oschner Health System. The unit of randomization will be the primary care clinic. A clinician champion will be recruited from each of the intervention clinics to participate in a 6-month training program and then work with clinicians and staff in their clinic for 12 months to reduce the use of PIMs in their PLWD population. For aims 1 and 2, Medicare claims data will be used to assess outcomes. The outcome for aim #1 will be medication possession rates per quarter, for the three therapeutic classes of PIMs among patients with dementia in intervention clinics versus control clinics. For aim #2, we will assess the incidence of falls using a previously validated algorithm. For both aims 1 and 2, we will construct hierarchical models with time period observations nested within patient using generalized estimating equations (GEE) with robust standard errors. The key variable of interest will be the treatment indicator assigned based on practice. For aim #3, we will conduct qualitative thematic analysis of documentation by the clinician champions in their project workbooks to evaluate the five implementation outcomes., Discussion: This embedded pragmatic trial will add to our existing knowledge regarding the effectiveness of a clinician champion strategy to de-prescribe potentially inappropriate medication among patients with dementia as well as its appropriateness, feasibility, fidelity, penetration, and equity., Trial Registration: Clinicaltrials.gov NCT05359679 , Registered May 4, 2022., (© 2022. The Author(s).)

Purpose: We conducted a randomized controlled trial to compare the effectiveness of adding various forms of enhanced external support to practice facilitation on primary care practices' clinical quality measure (CQM) performance., Methods: Primary care practices across Washington, Oregon, and Idaho were eligible if they had fewer than 10 full-time clinicians. Practices were randomized to practice facilitation only, practice facilitation and shared learning, practice facilitation and educational outreach visits, or practice facilitation and both shared learning and educational outreach visits. All practices received up to 15 months of support. The primary outcome was the CQM for blood pressure control. Secondary outcomes were CQMs for appropriate aspirin therapy and smoking screening and cessation. Analyses followed an intention-to-treat approach., Results: Of 259 practices recruited, 209 agreed to be randomized. Only 42% of those offered educational outreach visits and 27% offered shared learning participated in these enhanced supports. CQM performance improved within each study arm for all 3 cardiovascular disease CQMs. After adjusting for differences between study arms, CQM improvements in the 3 enhanced practice support arms of the study did not differ significantly from those seen in practices that received practice facilitation alone (omnibus P = .40 for blood pressure CQM). Practices randomized to receive both educational outreach visits and shared learning, however, were more likely to achieve a blood pressure performance goal in 70% of patients compared with those randomized to practice facilitation alone (relative risk = 2.09; 95% CI, 1.16-3.76)., Conclusions: Although we found no significant differences in CQM performance across study arms, the ability of a practice to reach a target level of performance may be enhanced by adding both educational outreach visits and shared learning to practice facilitation., (© 2019 Annals of Family Medicine, Inc.)

Purpose: Six key elements of opioid medication management redesign in primary care have been previously identified. Here, we examine the effect of implementing these Six Building Blocks on opioid-prescribing practices., Methods: Six rural-serving organizations with 20 clinic locations received support for 15 months during the period October 2015 to May 2017 to implement the Six Building Blocks. Patients undergoing long-term opioid therapy (LtOT) at these study sites were compared with patients undergoing LtOT enrolled in a regional health plan who did not receive care at the study sites but who resided in the same primary care service areas (control group). Outcomes were monthly trend in the proportion of patients undergoing LtOT prescribed a ≥100 morphine equivalent dose (MED) of opioids daily and the total number of patients receiving an opioid prescription. An interrupted time series using difference-indifference analysis was used for tests of significance., Results: The proportion of patients prescribed a ≥100 MED of opioids daily decreased 2.2% (11.8% to 9.6%) among patients at the intervention clinics and 1.3% (14.0% to 12.7%) among patients in the control group. The rate of decrease was significantly greater among study patients than among patients in the control group ( P = .018). The rate of decrease in the number of patients on LtOT at intervention clinics increased during the intervention period compared with the preintervention period ( P <.001)., Conclusions: Efforts to redesign opioid medication management in primary care resulted in a significant decrease in opioid prescribing. Future research is needed to determine if these results are generalizable to other settings and to assess implications for patient-reported outcomes., (© 2019 Annals of Family Medicine, Inc.)

Background: Unnecessary care contributes to high costs and places patients at risk of harm. While most providers support reducing low-value care, changing established practice patterns is difficult and requires active engagement in sustained behavioral, organizational, and cultural change. Here we describe an action-planning framework to engage providers in reducing overused services., Methods: The framework is informed by a comprehensive review of social science theory and literature, published reports of successful and unsuccessful efforts to reduce low-value care, and interviews with innovators of value-based care initiatives in twenty-three health care organizations across the United States. A multi-stakeholder advisory committee provided feedback on the framework and guidance on optimizing it for use in practice., Results: The framework describes four conditions necessary for change: prioritize addressing low-value care; build a culture of trust, innovation and improvement; establish shared language and purpose; and commit resources to measurements. These conditions foster productive sense-making conversations between providers, between providers and patients, and among members of the health care team about the potential for harm from overuse and reflection on current frequency of use. Through these conversations providers, patients and team members think together as a group, learn how to coordinate individual behaviors, and jointly develop possibilities for coordinated action around specific areas of overuse., Conclusions: Organizational efforts to engage providers in value-based care focused on creating conditions for productive sense-making conversations that lead to change., Implications: Organizations can use this framework to enhance and strengthen provider engagement efforts to do less of what potentially harms and more of what truly helps patients., (Copyright © 2016 The Authors. Published by Elsevier Inc. All rights reserved.)

Rationale: Aims and Objective: The validation study of the Patient Assessment of Chronic Illness Care (PACIC) questionnaire suggested a 5-factor structure determined a priori, but subsequent analyses have questioned the validity of the original factor structure. This study analyzed the factor structure of the PACIC using a large and diverse patient sample, and evaluated the identified factors through the lens of recent transformational initiatives in primary care., Methods: Convenience samples of adults completed surveys in waiting rooms during clinic visits. Primary care patients with 1 or more chronic illnesses with complete PACIC responses at baseline from 39 clinics (n=1,567) and at follow-up from 36 clinics (n=1,536) participated. Exploratory and confirmatory factor analyses were conducted on baseline and follow-up patient questionnaire data from a cluster randomized controlled trial. Identified factors were evaluated in terms of item loadings, content, reliability, and the extent to which items reflected advances in the delivery of chronic illness care., Results: Analyses supported the use of the PACIC summary score. Although a 5-factor model was retained, factor loadings were different from the original PACIC validation study. All factors had sufficient reliability, but findings suggested potential revisions to enhance the factor structure., Conclusions: It may be time to revise the PACIC to enhance the stability of the subscales (factors) and better reflect recent transformations in the delivery of chronic illness care.

Background: A recent systematic review suggests that practice facilitation (PF) is a robust intervention for implementing evidence-based preventive care guidelines in primary care, but the ability of PF to improve chronic illness care remains unclear., Aims: To examine the specific activities and Chronic Care model (CCM) components that primary care practices implemented and sustained in response to a 12-month PF intervention., Methods: The ABC trial tested the effectiveness of PF to improve care for diabetes in 40 small community-based primary care practices that were randomized to "initial" or "delayed" intervention arms. A trained facilitator met with each practice over 12-months. Facilitators used interactive consensus building to help practices implement one or more of quality improvement activities based on the CCM. Facilitators prospectively recorded implementation activities reported by practice teams during monthly meetings and confirmed which of these were sustained at the end of the intervention., Results: 37 practices implemented and sustained a total of 43 unique activities [range 1-15, average 6.5 (SD=2.9)]. The number (%) of practices that implemented 1 or more key activities in each CCM component varied: Patient Self-Management Support: 37 (100%); Clinical Information Systems: 24 (64.9%), Delivery System Design: 14 (37.8%), Decision Support: 13 (35.1%), Community Linkages: 2 (5.4%); Healthcare System Support: 2 (2.7%). The majority of practices (59%) only implemented activities from 1 or 2 CCM components. The number of sustained activities was associated with the number of PF visits, but not with practice characteristics., Conclusions: In spite of the PF intervention, it was difficult for these small practices to implement comprehensive CCM changes. Although practices implemented and sustained a remarkable number and variety of key activities, the majority of these focused on patient self-management support, as opposed to other components of the CCM, such as clinical information systems, decision support, delivery system redesign, and community linkages.

Purpose: We aimed to advance the internal and external validity of research by sharing our empirical experience and recommendations for systematically reporting contextual factors., Methods: Fourteen teams conducting research on primary care practice transformation retrospectively considered contextual factors important to interpreting their findings (internal validity) and transporting or reinventing their findings in other settings/situations (external validity). Each team provided a table or list of important contextual factors and interpretive text included as appendices to the articles in this supplement. Team members identified the most important contextual factors for their studies. We grouped the findings thematically and developed recommendations for reporting context., Results: The most important contextual factors sorted into 5 domains: (1) the practice setting, (2) the larger organization, (3) the external environment, (4) implementation pathway, and (5) the motivation for implementation. To understand context, investigators recommend (1) engaging diverse perspectives and data sources, (2) considering multiple levels, (3) evaluating history and evolution over time, (4) looking at formal and informal systems and culture, and (5) assessing the (often nonlinear) interactions between contextual factors and both the process and outcome of studies. We include a template with tabular and interpretive elements to help study teams engage research participants in reporting relevant context., Conclusions: These findings demonstrate the feasibility and potential utility of identifying and reporting contextual factors. Involving diverse stakeholders in assessing context at multiple stages of the research process, examining their association with outcomes, and consistently reporting critical contextual factors are important challenges for a field interested in improving the internal and external validity and impact of health care research.

Objectives: To systematically review the current evidence on the patient-centered medical home (PCMH, or medical home), which aims to reinvigorate primary care and achieve the triple aim of better quality, improved experience, and lower costs., Study Design: Systematic review of quantitative evidence on the PCMH., Methods: Out of 498 studies published or disseminated from January 2000 to September 2010 on US-based interventions, 14 evaluations of 12 interventions met our inclusion criteria: (1) tested a practice-level intervention with 3 or more of 5 key PCMH components and (2) conducted a quantitative study of one of the triple aim outcomes or of healthcare professional experience. We synthesized findings on interventions that were evaluated using rigorous methods. We also provide guidance to structure future evaluations to maximize learning., Results: The interventions most often cited to support the medical home can be viewed as precursors to the medical home. Evaluations of 6 of these interventions provided rigorous evidence on 1 or more outcomes. This evidence indicates some favorable effects on all 3 triple aim outcomes, a few unfavorable effects on costs, and many inconclusive results., Conclusions: Although the PCMH is a promising innovation, rigorous quantitative evaluations and comprehensive implementation analyses are needed to assess effectiveness and refine the model to meet stakeholders' needs. Findings from future evaluations will help guide the substantial efforts practices and payers invest to adopt the PCMH with the goal of achieving the triple aim outcomes.

Objective: To examine the common clinical and behavioural factors that contribute to cardiovascular disease (CVD) risk (ie, attributable risk) among those with type 2 diabetes., Design: Analysis of data from a larger observational study. Using the validated UK Prospective Diabetes Study risk engine, the primary analysis examined the prevalence and attributable risk of CVD for 4 factors. Multivariable models also examined the association between attributable CVD risk and appropriate self-management behaviour., Setting: Twenty primary health care clinics in the South Texas area of the United States., Participants: A total of 313 patients with type 2 diabetes mellitus currently receiving primary care services for their condition., Main Outcome Measures: Prevalence of elevated CVD risk factors (glycated hemoglobin [HbA(1c)] levels, blood pressure, lipid levels, and smoking status), the attributable risk owing to these factors, and the association between attributable risk of CVD and diet, exercise, and medication adherence., Results: The mean 10-year CVD risk for the study population (N = 313) was 16.2%, with a range of 6.5% to 48.5% across clinics; nearly one-third of this total risk was attributable to modifiable factors. The primary variable driving risk reduction was HbA(1c) levels, followed by smoking status and lipid levels. Patients who were carefully engaged in monitoring their diets and medications reduced their CVD risk by 44% and 39%, respectively (P < .03)., Conclusion: Patients with diabetes experience a substantial risk of CVD owing to potentially modifiable behavioural factors. High-quality diabetes care requires targeting modifiable patient factors strongly associated with CVD risk, including self-management behaviour such as diet and medication adherence, to better tailor clinical interventions and improve the health status of individuals with this chronic condition.

Background and Objectives: Diet plays an important role in the management of diabetes, and a suboptimal diet is a commonly identified problem. Family support may be important in overcoming barriers to good diet. We conducted this study to examine the role of the family in overcoming barriers to diet self-care among older Hispanic patients with diabetes., Methods: We performed a cross-sectional survey of 138 older Hispanic adults seeking care at an outpatient university clinic. Patients reported on their perception of family functioning, family support for diet, and barriers to diet self-care., Results: Level of family functioning was related to family support for diet self-care, and family support for diet was related to perceived barriers to diet self-care. Scores for family support were higher for those who perceived their family as functional compared to those who perceived their family as mildly dysfunctional or dysfunctional. As family support for diet increased, perceived barriers to diet self-care decreased., Conclusions: To fully understand difficulties encountered by older Hispanic adults with adherence to a diabetic diet, primary care physicians should explore the role of family support and family functioning. For those with poorly functioning families or low levels of family support, family-level interventions may need to be considered.

Background: The importance of a sustained relationship between patients and physicians is a defining characteristic of family medicine. This study examined whether there is an association among the length of the patient-physician relationship, various attributes of primary care, and the delivery of clinical preventive services to Medicare beneficiaries., Methods: The data source for this study was the 1993 Medicare Current Beneficiary Survey. Primary care attribute scales were developed by conducting a factor analysis of 17 survey questions. Three clinical preventive services were measured as outcomes: influenza vaccination, mammography, and an eye examination for diabetics. Path analyses were used to test the relationships between length of relationship, primary care attributes, and delivery of clinical preventive services., Results: As the length of the relationship increased, scores on communication, accumulated knowledge of the patient by the physician, and trust all improved. Length of relationship and communication predicted accumulated knowledge of the patient by the physician, accumulated knowledge predicted trust, and trust predicted delivery of preventive services., Conclusions: Among elderly Medicare beneficiaries, the ability to develop a sustained relationship with a provider is related to the realization of other important attributes of primary care. Trust was associated with delivery of important clinical preventive services. Efforts should be made to protect the ability of patients and physicians to sustain a relationship over time.

In the United States, asthma now ranks as the most prevalent chronic disease among children. Within rural cotton-producing regions, a popular belief is that cotton production increases the prevalence of asthma. This case-control study was conducted to determine if the prevalence of asthma is higher in children living in rural cotton-producing countries than in children where cotton production is negligible. No evidence was found to support the belief that cotton production increases the rural childhood prevalence of asthma (P = .12). More importantly, this study did reveal a significantly higher prevalence of asthma among the fifth graders in rural West Texas than the prevalence predicted by the Centers for Disease Control and Prevention (P < .0001).

Understanding spatial relationships between determinants and outcomes of health care is important as the concept of population-based health care gains acceptance. A wide range of tools for understanding these spatial relationships is available to the family medicine researcher through the use of Geographic Information Systems (GIS). The power of GIS lies in its ability to display the spatial distribution of a health-related predictor or outcome. These maps can then be used to either generate or test hypotheses that would not have otherwise occurred to the investigator without visualizing the spatial relationships. The type of GIS application used is dependent on the type of data the researcher has and the research question. The three most common types of data are point or event data, lattice data, and geostatistical data. Point or event data can be displayed using a technique known as geocoding. Lattice data is most commonly displayed as shaded or colored areas where the shading represents rates or counts. Geostatistical data provides counts or numbers at a given location. The analytic techniques used for analyzing spatial data depend on the type of data. Maps tell powerful stories and display relationships that may not be obvious using other techniques.