A Cluster Randomized Trial of Primary Care Practice Redesign to Integrate Behavioral Health for Those Who Need It Most: Patients With Multiple Chronic Conditions.

PURPOSE: Patient outcomes can improve when primary care and behavioral health providers use a collaborative system of care, but integrating these services is difficult. We tested the effectiveness of a practice intervention for improving patient outcomes by enhancing integrated behavioral health (IBH) activities. METHODS: We conducted a pragmatic, cluster randomized controlled trial. The intervention combined practice redesign, quality improvement coaching, provider and staff education, and collaborative learning. At baseline and 2 years, staff at 42 primary care practices completed the Practice Integration Profile (PIP) as a measure of IBH. Adult patients with multiple chronic medical and behavioral conditions completed the Patient-Reported Outcomes Measurement Information System (PROMIS-29) survey. Primary outcomes were the change in 8 PROMIS-29 domain scores. Secondary outcomes included change in level of integration. RESULTS: Intervention assignment had no effect on change in outcomes reported by 2,426 patients who completed both baseline and 2-year surveys. Practices assigned to the intervention improved PIP workflow scores but not PIP total scores. Baseline PIP total score was significantly associated with patient-reported function, independent of intervention. Active practices that completed intervention workbooks (n = 13) improved patient-reported outcomes and practice integration (P ≤ .05) compared with other active practices (n = 7). CONCLUSION: Intervention assignment had no effect on change in patient outcomes; however, we did observe improved patient outcomes among practices that entered the study with greater IBH. We also observed more improvement of integration and patient outcomes among active practices that completed the intervention compared to active practices that did not. Additional research is needed to understand how implementation efforts to enhance IBH can best reach patients.

Follow-up Post-discharge and Readmission Disparities Among Medicare Fee-for-Service Beneficiaries, 2018.

BACKGROUND: Previous studies have identified disparities in readmissions among Medicare beneficiaries hospitalized for the Hospital Readmissions Reduction Program's (HRRP's) priority conditions. Evidence suggests timely follow-up is associated with reduced risk of readmission, but it is unknown whether timely follow-up reduces disparities in readmission. OBJECTIVE: To assess whether follow-up within 7 days after discharge from a hospitalization reduces risk of readmission and mitigates identified readmission disparities. DESIGN: A retrospective cohort study using Cox proportional hazards models to estimate the associations between sociodemographic characteristics (race and ethnicity, dual-eligibility status, rurality, and area social deprivation), follow-up, and readmission. Mediation analysis was used to examine if disparities in readmission were mitigated by follow-up. PARTICIPANTS: We analyzed data from 749,402 Medicare fee-for-service beneficiaries hospitalized for acute myocardial infarction, chronic obstructive pulmonary disease, heart failure, or pneumonia, and discharged home between January 1 and December 1, 2018. MAIN MEASURE: All-cause unplanned readmission within 30 days after discharge. KEY RESULTS: Post-discharge follow-up within 7 days of discharge was associated with a substantially lower risk of readmission (HR: 0.52, 95% CI: 0.52-0.53). Across all four HRRP conditions, beneficiaries with dual eligibility and beneficiaries living in areas with high social deprivation had a higher risk of readmission. Non-Hispanic Black beneficiaries had higher risk of readmission after hospitalization for pneumonia relative to non-Hispanic Whites. Mediation analysis suggested that 7-day follow-up mediated 21.2% of the disparity in the risk of readmission between dually and non-dually eligible beneficiaries and 50.7% of the disparity in the risk of readmission between beneficiaries living in areas with the highest and lowest social deprivation. Analysis suggested that after hospitalization for pneumonia, 7-day follow-up mediated nearly all (97.5%) of the increased risk of readmission between non-Hispanic Black and non-Hispanic White beneficiaries. CONCLUSIONS: Improving rates of follow-up could be a strategy to reduce readmissions for all beneficiaries and reduce disparities in readmission based on sociodemographic characteristics.

Development and validation of the patient centeredness index for primary care.

AIMS AND OBJECTIVES: To describe the development of the Patient Centeredness Index (PCI), evaluate its psychometric characteristics and evaluate the relationships between scores on the PCI and an established measure of empathy. BACKGROUND: Patient centeredness helps patients manage multiple chronic conditions with their providers, nurses and other team members. However, no instrument exists for evaluating patient centeredness within primary care practices treating this population. DESIGN: Multi-site instrument development and validation. STROBE reporting guidelines were followed. METHODS: To identify themes, we consulted literature on patient centeredness and engaged stakeholders who had or were caring for people with multiple chronic conditions (n = 7). We composed and refined items to represent those themes with input from clinicians and researchers. To evaluate reliability and convergent validity, we administered surveys to participants (n = 3622) with chronic conditions recruited from 44 primary care practices for a large-scale cluster randomised clinical trial of the effects of a practice-level intervention on patient and practice-level outcomes. Participants chose to complete the 16-item survey online, on paper or by phone. Surveys assessed demographics, number of chronic conditions and ratings of provider empathy. We conducted exploratory factor analysis to model the interrelationships among items. RESULTS: A single factor explained 93% of total variance. Factor loadings ranged from 0.55-0.85, and item-test correlations were ≥.67. Cronbach's alpha was .93. A moderate, linear correlation with ratings of provider's empathy (r = .65) supports convergent validity. CONCLUSIONS: The PCI is a new tool for obtaining patient perceptions of the patient centeredness of their primary care practice. The PCI shows acceptable reliability and evidence of convergent validity among patients managing chronic conditions. RELEVANCE TO CLINICAL PRACTICE: The PCI rapidly identifies patients' perspectives on patient centeredness of their practice, making it ideal for administration in busy primary care settings that aim to efficiently address patient-identified needs. TRIAL REGISTRATION: Clinicaltrials.org Protocol ID: WLPS-1409-24372. TITLE: Integrating Behavioural Health and Primary Care for Comorbid Behavioural and Medical Problems (IBHPC).

Incentivizing Excellent Care to At-Risk Groups with a Health Equity Summary Score.

BACKGROUND: Social risk factors (SRFs) such as minority race-and-ethnicity or low income are associated with quality-of-care, health, and healthcare outcomes. Organizations might prioritize improving care for easier-to-treat groups over those with SRFs, but measuring, reporting, and further incentivizing quality-of-care for SRF groups may improve their care. OBJECTIVE: To develop, as a proof-of-concept, a Health Equity Summary Score (HESS): a succinct, easy-to-understand score that could be used to promote high-quality care to those with SRFs in Medicare Advantage (MA) health plans, which provide care for almost twenty million older and disabled Americans and collect extensive quality measure and SRF data. DESIGN: We estimated, standardized, and combined performance scores for two sets of quality measures for enrollees in 2013-2016 MA health plans, considering both current levels of care, within-plan improvement, and nationally benchmarked improvement for those with SRFs (specifically, racial-and-ethnic minority status and dual-eligibility for Medicare and Medicaid). PARTICIPANTS: All MA plans with publicly reported quality scores and 500 or more 2016 enrollees. MAIN MEASURES: Publicly reported clinical quality and patient experience measures. KEY RESULTS: Almost 90% of plans measured for MA Star Ratings received a HESS; plans serving few patients with SRFs were excluded. The summary score was moderately positively correlated with publicly reported overall Star Ratings (r = 0.66-0.67). High-scoring plans typically had sizable enrollment of both racial-and-ethnic minorities (38-42%) and dually eligible beneficiaries (29-38%). CONCLUSIONS: We demonstrated the feasibility of developing and estimating a HESS that is intended to promote and incentivize excellent care for racial-and-ethnic minorities and dually eligible MA enrollees. The HESS measures SRF-specific performance and does not simply duplicate overall plan Star Ratings. It also identifies plans that provide excellent care to large numbers of those with SRFs. Our methodology could be extended to other SRFs, quality measures, and settings.

Annual wellness visits and care management before and after dialysis initiation.

INTRODUCTION: Demands of dialysis regimens may pose challenges for primary care provider (PCP) engagement and timely preventive care. This is especially the case for patients initiating dialysis adjusting to new logistical challenges and management of symptoms and existing comorbid conditions. Since 2011, Medicare has provided coverage for annual wellness visits (AWV), which are primarily conducted by PCPs and may be useful for older adults undergoing dialysis. METHODS: We used the OptumLabs® Data Warehouse to identify a cohort of 1,794 Medicare Advantage (MA) enrollees initiating dialysis in 2014-2017 and examined whether MA enrollees (1) were seen by a PCP during an outpatient visit and (2) received an AWV in the year following dialysis initiation. RESULTS: In the year after initiating dialysis, 93 % of MA enrollees had an outpatient PCP visit but only 24 % received an annual wellness visit. MA enrollees were less likely to see a PCP if they had Charlson comorbidity scores between 0 and 5 than those with scores 6-9 (odds ratio (OR) = 0.59, 95 % CI: 0.37-0.95), but more likely if seen by a nephrologist (OR = 1.60, 95 % CI: 1.01-2.52) or a PCP (OR = 15.65, 95 % CI: 9.26-26.46) prior to initiation. Following dialysis initiation, 24 % of MA enrollees had an AWV. Hispanic MA enrollees were less likely (OR = 0.57, 95 % CI: 0.39-0.84) to have an AWV than White MA enrollees, but enrollees were more likely if they initiated peritoneal dialysis (OR = 1.54, 95 % CI: 1.07-2.23) or had an AWV in the year before dialysis initiation (OR = 4.96, 95 % CI: 3.88-6.34). CONCLUSIONS: AWVs are provided at low rates to MA enrollees initiating dialysis, particularly Hispanic enrollees, and represent a missed opportunity for better care management for patients with ESKD. Increasing patient awareness and provider provision of AWV use among dialysis patients may be needed, to realize better preventive care for dialysis patients.

Assessing Cancer Patient Experience of Care in Outpatient Oncology Practices in the United States.

INTRODUCTION: Cancer patients' experience of care is an important component of quality that has not previously been used for comparing performance. We administered a new patient experience survey to cancer patients receiving outpatient chemotherapy treatment. We examined its measures for sensitivity to adjustment for case-mix and response tendency (level of general optimism/pessimism) and reliability for making performance comparisons between practices. METHODS: We surveyed 2304 cancer patients who received chemotherapy at 23 medical oncology practices in Southeastern Pennsylvania, receiving 715 responses (response rate 31%; 14 practices had 10 or more responses). We aggregated patient responses to calculate practice-level scores on 5 predefined composites: Affective Communication, Shared Decision-Making, Patient Self-Management, Exchanging Information, and Access. We then ranked the practices on each composite before and after adjustment for standard case-mix variables and supplemental adjustment for response tendency (measured via the Life Orientation Test-Revised). We calculated the reliability of practice scores on each composite using hierarchical linear models and calculated minimum sample sizes necessary to achieve reliabilities exceeding 0.7. RESULTS: After adjusting responses for case-mix and converting to a 0-100 scale, composite scores ranged from 77 for the Patient Self-Management composite to 92 for the Access composite. Adjustment for response tendency had an impact on practice rankings only for the Shared Decision-Making composite. The number of responses necessary to create reliable practice-level measurements ranged from 17 (Access composite) to 96 (Affective Communication composite). CONCLUSIONS: Patient experiences at oncology practices can be measured reliably using reasonable sample sizes. Standard case-mix adjustment is adequate for making comparisons on most composites.

Lab-based and diagnosis-based chronic kidney disease recognition and staging concordance.

BACKGROUND: Chronic kidney disease (CKD) is often under-recognized and poorly documented via diagnoses, but the extent of under-recognition is not well understood among Medicare beneficiaries. The current study used claims-based diagnosis and lab data to examine patient factors associated with clinically recognized CKD and CKD stage concordance between claims- and lab-based sources in a cohort of Medicare beneficiaries. METHODS: In a cohort of fee-for-service (FFS) beneficiaries with CKD based on 2011 labs, we examined the proportion with clinically recognized CKD via diagnoses and factors associated with clinical recognition in logistic regression. In the subset of beneficiaries with CKD stage identified from both labs and diagnoses, we examined concordance in CKD stage from both sources, and factors independently associated with CKD stage concordance in logistic regression. RESULTS: Among the subset of 206,036 beneficiaries with lab-based CKD, only 11.8% (n = 24,286) had clinically recognized CKD via diagnoses. Clinical recognition was more likely for beneficiaries who had higher CKD stages, were non-elderly, were Hispanic or non-Hispanic Black, lived in core metropolitan areas, had multiple chronic conditions or outpatient visits in 2010, or saw a nephrologist. In the subset of 18,749 beneficiaries with CKD stage identified from both labs and diagnoses, 70.0% had concordant CKD stage, which was more likely if beneficiaries were older adults, male, lived in micropolitan areas instead of non-core areas, or saw a nephrologist. CONCLUSIONS: There is significant under-diagnosis of CKD in Medicare FFS beneficiaries, which can be addressed with the availability of lab results.

Health care quality measures for children and adolescents in Foster Care: feasibility testing in electronic records.

BACKGROUND: Preventive quality measures for the foster care population are largely untested. The objective of the study is to identify healthcare quality measures for young children and adolescents in foster care and to test whether the data required to calculate these measures can be feasibly extracted and interpreted within an electronic health records or within the Statewide Automated Child Welfare Information System. METHODS: The AAP Recommendations for Preventive Pediatric Health Care served as the guideline for determining quality measures. Quality measures related to well child visits, developmental screenings, immunizations, trauma-related care, BMI measurements, sexually transmitted infections and depression were defined. Retrospective chart reviews were performed on a cohort of children in foster care from a single large pediatric institution and related county. Data available in the Ohio Statewide Automated Child Welfare Information System was compared to the same population studied in the electronic health record review. Quality measures were calculated as observed (received) to expected (recommended) ratios (O/E ratios) to describe the actual quantity of recommended health care that was received by individual children. RESULTS: Electronic health records and the Statewide Automated Child Welfare Information System data frequently lacked important information on foster care youth essential for calculating the measures. Although electronic health records were rich in encounter specific clinical data, they often lacked custodial information such as the dates of entry into and exit from foster care. In contrast, Statewide Automated Child Welfare Information System included robust data on custodial arrangements, but lacked detailed medical information. Despite these limitations, several quality measures were devised that attempted to accommodate these limitations. CONCLUSIONS: In this feasibility testing, neither the electronic health records at a single institution nor the county level Statewide Automated Child Welfare Information System was able to independently serve as a reliable source of data for health care quality measures for foster care youth. However, the ability to leverage both sources by matching them at an individual level may provide the complement of data necessary to assess the quality of healthcare.

Health IT-Enabled Care Coordination: A National Survey of Patient-Centered Medical Home Clinicians.

PURPOSE: Health information technology (IT) offers promising tools for improving care coordination. We assessed the feasibility and acceptability of 6 proposed care coordination objectives for stage 3 of the Centers for Medicare and Medicaid Services electronic health record incentive program (Meaningful Use) related to referrals, notification of care from other facilities, patient clinical summaries, and patient dashboards. METHODS: We surveyed physician-owned and hospital/health system-affiliated primary care practices that achieved patient-centered medical home recognition and participated in the Meaningful Use program, and community health clinics with patient-centered medical home recognition (most with certified electronic health record systems). The response rate was 35.1%. We ascertained whether practices had implemented proposed objectives and perceptions of their importance. We analyzed the association of organizational and contextual factors with self-reported use of health IT to support care coordination activities. RESULTS: Although 78% of the 350 respondents viewed timely notification of hospital discharges as very important, only 48.7% used health IT systems to accomplish this task. The activity most frequently supported by health IT was providing clinical summaries to patients, in 76.6% of practices; however, merely 47.7% considered this activity very important. Greater use of health IT to support care coordination activities was positively associated with the presence of a nonclinician responsible for care coordination and the practice's capacity for systematic change. CONCLUSIONS: Even among practices having a strong commitment to the medical home model, the use of health IT to support care coordination objectives is not consistent. Health IT capabilities are not currently aligned with clinicians' priorities. Many practices will need financial and technical assistance for health IT to enhance care coordination.

Medical home transformation: a gradual process and a continuum of attainment.

PURPOSE: The patient-centered medical home is often discussed as though there exist either traditional practices or medical homes, with marked differences between them. We analyzed data from an evaluation of certified medical homes in Minnesota to study this topic. METHODS: We obtained publicly reported composite measures for quality of care outcomes pertaining to diabetes and vascular disease for all clinics in Minnesota from 2008 to 2010. The extent of and change in practice systems over that same time period for the first 120 clinics serving adults certified as health care homes (HCHs) was measured by the Physician Practice Connections Research Survey (PPC-RS), a self-report tool similar to the National Committee for Quality Assurance standards for patient-centered medical homes. Measures were compared between these clinics and 518 non-HCH clinics in the state. RESULTS: Among the 102 clinics for which we had precertification and postcertification scores for both the PPC-RS and either diabetes or vascular disease measures, the mean increase in systems score over 3 years was an absolute 29.1% (SD = 16.7%) from a baseline score of 38.8% (SD = 16.5%, P ≤.001). The proportion of clinics in which all patients had optimal diabetes measures improved by an absolute 2.1% (SD = 5.5%, P ≤.001) and the proportion in which all had optimal cardiovascular disease measures by 4.4% (SD = 7.5%, P ≤.001), but all measures varied widely among clinics. Mean performance rates of HCH clinics were higher than those of non-HCH clinics, but there was extensive overlap, and neither group changed much over this time period. CONCLUSIONS: The extensive variation among HCH clinics, their overlap with non-HCH clinics, and the small change in performance over time suggest that medical homes are not similar, that change in outcomes is slow, and that there is a continuum of transformation.

Support and strategies for change among small patient-centered medical home practices.

PURPOSE: We aimed to determine the motivations and barriers facing small practices that seek to adopt the patient-centered medical home (PCMH) model, as well as the type of help and strategies they use. METHODS: We surveyed lead physicians at practices with fewer than 5 physicians, stratified by state and level of National Committee for Quality Assurance PCMH recognition, using a Web-based survey with telephone, fax, and mail follow-up. The response rate was 59%, yielding a total sample of 249 practices from 23 states. RESULTS: Improving quality and patient experience were the strongest motivations for PCMH implementation; time and resources were the biggest barriers. Most practices participated in demonstration projects or received financial rewards for PCMH, and most received training or other kinds of help. Practices found training and help related to completing the PCMH application to be the most useful. Training for patients was both less common and less valued. The most commonly used strategies for practice transformation were staff training, systematizing processes of care, and quality measurement/goal setting. The least commonly endorsed strategy was involving patients in quality improvement. Practices with a higher level of PCMH recognition were more likely to have electronic health records, to report barriers, and to use measurement-based quality improvement strategies. CONCLUSIONS: To spread the adoption of the PCMH model among small practices, financial support, practical training, and other help are likely to continue to be important. Few practices involved patients in their implementation, so it would be helpful to test the impact of greater patient involvement in the PCMH.

Context matters: the experience of 14 research teams in systematically reporting contextual factors important for practice change.

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.

Have racial disparities in home dialysis utilization changed over time?

OBJECTIVES: The Medicare end-stage kidney disease (ESKD) prospective payment system (PPS) for maintenance dialysis, implemented in 2011, resulted in modestly increased access to both home-based peritoneal dialysis (PD) and home hemodialysis (HHD) treatment modalities, but it is unclear whether regional disparities in home dialysis (PD and HHD) were affected. We compared regional home dialysis use by White and non-White individuals over time. STUDY DESIGN: Retrospective cohort study of dialysis facilities offering home dialysis in 2006-2016 and of 1,098,579 patients with prevalent ESKD in 2006-2016. METHODS: We compared hospital referral region (HRR) utilization rates of home dialysis between White and non-White patients over time using a generalized estimating equation model with a negative binomial distribution adjusting for regional characteristics. RESULTS: The mean number of facilities offering home dialysis operating in each HRR increased from 15.6 in 2006 to 22.1 in 2016. Observed mean HRR home dialysis rates increased overall, but White patients maintained greater home dialysis use than non-White patients: 19.7% in 2006 and 26.2% in 2016 among White patients vs 13.0% in 2006 and 17.8% in 2016 among non-White patients. In adjusted analysis, there was no evidence of changes in White/non-White disparities in home dialysis use over time (P = .84) or after the Medicare ESKD PPS in 2011 (incidence rate ratio, 0.97; 95% CI, 0.92-1.02; P = .29). CONCLUSIONS: Even after modest increases in dialysis facility availability and patient utilization after the implementation of the Medicare ESKD PPS in 2011, significant racial disparities in home dialysis remain.

Development of a Medicare plan dashboard to promote health equity.

OBJECTIVE: To describe a multistage process of designing and evaluating a dashboard that presents data on how equitably health plans provide care for their members. STUDY DESIGN: We designed a dashboard for presenting summative and finer-grained data to health plans for characterizing how well plans are serving individuals who belong to racial/ethnic minority groups and individuals with low income. The data presented in the dashboard were based on CMS' Health Equity Summary Score (HESS) for Medicare Advantage plans. METHODS: Interviews and listening sessions were conducted with health plan representatives and other stakeholders to assess understanding, perceived usefulness, and interpretability of HESS data. Usability testing was conducted with individuals familiar with quality measurement and reporting to evaluate dashboard design efficiency. RESULTS: Listening session participants understood the purpose of the HESS and expressed a desire for this type of information. Usability testing revealed a need to improve dashboard navigability and to streamline content. CONCLUSIONS: The HESS dashboard is a potentially useful tool for presenting data on health equity to health plans. The multistage process of continual testing and improvement used to develop the dashboard could be a model for targeting and deciding upon quality improvement efforts in the domain of health equity.

Are characteristics of the medical home associated with diabetes care costs?

OBJECTIVE: To examine the relationship between primary care medical home clinical practice systems corresponding to the domains of the Chronic Care Model and annual diabetes-related health care costs incurred by members of a health plan with type-2 diabetes and receiving care at one of 27 Minnesota-based medical groups. STUDY DESIGN: Cross-sectional analysis of the relation between patient-level costs and Patient-Centered Medical Home (PCMH) practice systems as measured by the Physician Practice Connections Readiness Survey. METHODS: Multivariate regressions adjusting for patient demographics, health status, and comorbidities estimated the relationship between the use of PCMH clinical practice systems and 3 annual cost outcomes: total costs of diabetes-related care, outpatient medical costs of diabetes-related care, and inpatient costs of diabetes-related care (ie, inpatient and emergency care). RESULTS: Overall PCMH scores were not significantly related to any annual cost outcome; however, 2 of 5 subdomains were related. Health Care Organization scores were related to significantly lower total (P=0.04) and inpatient costs (P=0.03). Clinical Decision Support was marginally related to a lower total cost (P=0.06) and significantly related to lower inpatient costs (P=0.02). A detailed analysis of the Health Care Organization domain showed that compared with medical groups with only quality improvement, those with performance measurement and individual provider feedback averaged $245/patient less. Medical groups with clinical reminders for counseling averaged $338/patient less. CONCLUSIONS: Certain PCMH practice systems were related to lower costs, but these effects are small compared with total costs. Further research about how these and other PCMH domains affect costs over time is needed.

Development of and field test results for the CAHPS PCMH Survey.

OBJECTIVE: To develop and evaluate survey questions that assess processes of care relevant to Patient-Centered Medical Homes (PCMHs). RESEARCH DESIGN: We convened expert panels, reviewed evidence on effective care practices and existing surveys, elicited broad public input, and conducted cognitive interviews and a field test to develop items relevant to PCMHs that could be added to the Consumer Assessment of Healthcare Providers and Systems (CAHPS®) Clinician & Group (CG-CAHPS) 1.0 Survey. Surveys were tested using a 2-contact mail protocol in 10 adults and 33 pediatric practices (both private and community health centers) in Massachusetts. A total of 4875 completed surveys were received (overall response rate of 25%). ANALYSES: We calculated the rate of valid responses for each item. We conducted exploratory factor analyses and estimated item-to-total correlations, individual and site-level reliability, and correlations among proposed multi-item composites. RESULTS: Ten items in 4 new domains (Comprehensiveness, Information, Self-Management Support, and Shared Decision-Making) and 4 items in 2 existing domains (Access and Coordination of Care) were selected to be supplemental items to be used in conjunction with the adult CG-CAHPS 1.0 Survey. For the child version, 4 items in each of 2 new domains (Information and Self-Management Support) and 5 items in existing domains (Access, Comprehensiveness-Prevention, Coordination of Care) were selected. CONCLUSIONS: This study provides support for the reliability and validity of new items to supplement the CG-CAHPS 1.0 Survey to assess aspects of primary care that are important attributes of PCMHs.

Health Plans Struggle to Report on Depression Quality Measures That Require Clinical Data.

OBJECTIVE: Depression quality measures aligned with evidence-based practices require that health care organizations use standardized tools for tracking and monitoring patient-reported symptoms and functioning over time. This study describes challenges and opportunities for reporting 5 HEDIS measures which use electronic clinical data to assess adolescent and perinatal depression care quality. METHODS: Two learning collaboratives were convened with 10 health plans from 5 states to support reporting of the depression measures. We conducted content analysis of notes from collaborative meetings and individual calls with health plans to identify key challenges and strategies for reporting. RESULTS: Health plans used various strategies to collect the clinical data needed to report the measures, including setting up direct data exchange with providers and data aggregators and leveraging data captured in health information exchanges and case management records. Health plans noted several challenges to reporting and performance improvement: 1) lack of access to clinical data sources where the results of patient-reported tools were documented; 2) unavailability of the results of patient-reported tools in usable data fields; 3) lack of routine depression screening and ongoing assessment occurring in provider practices. CONCLUSIONS: Our findings demonstrate ongoing challenges in collecting and using patient-reported clinical data for health plan quality measurement. Systems to track and improve outcomes for individuals with depression will require significant investments and policy support at the point of care and across the healthcare system.

Association of Implementation and Social Network Factors With Patient Safety Culture in Medical Homes: A Coincidence Analysis.

OBJECTIVES: The patient-centered medical home (PCMH) may provide a key model for ambulatory patient safety. Our objective was to explore which PCMH and patient safety implementation and social network factors may be necessary or sufficient for higher patient safety culture. METHODS: This was a cross-case analysis study in 25 diverse U.S. PCMHs. Data sources included interviews of a clinician and an administrator in each PCMH, surveys of clinicians and staff, and existing data on the PCMHs' characteristics. We used coincidence analysis, a novel method based on set theory and Boolean logic, to evaluate relationships between factors and the implementation outcome of patient safety culture. RESULTS: The coincidence analysis identified 5 equally parsimonious solutions (4 factors), accounting for all practices with higher safety culture. Three solutions contained the same core minimally sufficient condition: the implementation factor leadership priority for patient safety and the social network factor reciprocity in advice-seeking network ties (advice-seeking relationships). This minimally sufficient condition had the highest coverage (5/7 practices scoring higher on the outcome) and best performance across solutions; all included leadership priority for patient safety. Other key factors included self-efficacy and job satisfaction and quality improvement climate. The most common factor whose absence was associated with the outcome was a well-functioning process for behavioral health. CONCLUSIONS: Our findings suggest that PCMH safety culture is higher when clinicians and staff perceive that leadership prioritizes patient safety and when high reciprocity among staff exists. Interventions to improve patient safety should consider measuring and addressing these key factors.

Implementation of Patient Safety Structures and Processes in the Patient-Centered Medical Home.

ABSTRACT: Although most patient-clinician interactions occur in ambulatory care, little research has addressed measuring ambulatory patient safety or how primary care redesign such as the patient-centered medical home (PCMH) addresses patient safety. Our objectives were to identify PCMH standards relevant to patient safety, construct a measure of patient safety activity implementation, and examine differences in adoptions of these activities by practice and community characteristics. Using a consensus process, we selected elements among a widely adopted, nationally representative PCMH program representing activities that, according to a physician panel, represented patient safety overall and in four domains (diagnosis, treatment delays, medications, and communication and coordination) and generated a score for each. We then evaluated this score among 5,007 practices with the highest PCMH recognition level. Implementation of patient safety activities varied; the few military practices (2.4%) had the highest, and community clinics the lowest, patient safety score, both overall (82.0 and 72.0, respectively, p < .001) and across specific domains. Other practice and community characteristics were not associated with the patient safety score. Understanding better what factors are associated with implementation of patient safety activities may be a key step in improving ambulatory patient safety.

Evaluation of a Chronic Pain Screening Program Implemented in Primary Care.

Importance: Although pain is among the most common symptoms reported by patients, primary care practitioners (PCPs) face substantial challenges identifying and assessing pain. Objective: To evaluate a 2-step process for chronic pain screening and follow-up in primary care. Design, Setting, and Participants: A cross-sectional study of patients with a primary care visit between July 2, 2018, and June 1, 2019, was conducted at a statewide, multisite federally qualified health center. Participants included 68 PCPs and 58 medical assistants from 13 sites who implemented the screening process in primary care, and 38 866 patients aged 18 years or older with a primary care visit during that time. Exposures: Single-question assessment of pain frequency, followed by a 3-question PEG (pain, enjoyment of life, general activity) functional assessment for patients with chronic pain. Main Outcomes and Measures: Adherence to a 2-step chronic pain screening and PEG process, proportion of patients with positive screening results, mean PEG pain severity greater than or equal to 7, and documented chronic painful condition diagnosis in patient's electronic health record between 1 year before and 90 days after screening. Results: Of 38 866 patients with a primary care visit, 31 600 patients (81.3%) underwent screening. Mean (SD) age was 46.2 (15.4) years, and most were aged 35 to 54 years (12 987 [41.1%]), female (18 436 [58.3%]), Hispanic (14 809 [46.9%]), and English-speaking (22 519 [71.3%]), and had Medicaid insurance (18 442 [58.4%]). A total of 10 262 participants (32.5%) screened positive and, of these, 9701 (94.5%) completed the PEG questionnaire. PEG responses indicated severe pain interference with activities of daily living (PEG ≥7) in 5735 (59.1%) participants. A chronic painful condition had not been diagnosed in 4257 (43.9%) patients in the year before screening. A new chronic painful condition was diagnosed at screening or within 90 days in 2250 (52.9%) patients. Care teams found the workflow acceptable, but cited lengthy administration time, challenges with comprehension of the PEG questions, and limited comprehensiveness as implementation barriers. Conclusions and Relevance: A systematic, 2-step process for chronic pain screening and functional assessment in primary care appeared to identify patients with previously undocumented chronic pain and was feasible to implement. Patient-provided information on the frequency of pain, pain level, and pain interference can help improve the assessment and monitoring of pain in primary care.