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OBJECTIVE: To identify characteristics associated with unfulfilled contraceptive preferences, document reasons for these unfulfilled preferences, and examine how these unfulfilled preferences vary across specific method users. DATA SOURCES AND STUDY SETTING: We draw on secondary baseline data from 4660 reproductive-aged contraceptive users in the Arizona, Iowa, New Jersey, and Wisconsin Surveys of Women (SoWs), state-representative surveys fielded between October 2018 and August 2020 across the four states. STUDY DESIGN: This is an observational cross-sectional study, which examined associations between individuals' reproductive health-related experiences and contraceptive preferences, adjusting for sociodemographic characteristics. Our primary outcome of interest is having an unfulfilled contraceptive preference, and a key independent variable is experience of high-quality contraceptive care. We also examine specific contraceptive method preferences according to current method used, as well as reasons for not using a preferred method. DATA COLLECTION/EXTRACTION METHODS: Survey respondents who indicated use of any contraceptive method within the last 3 months prior to the survey were eligible for inclusion in this analysis. PRINCIPAL FINDINGS: Overall, 23% reported preferring to use a method other than their current method, ranging from 17% in Iowa to 26% in New Jersey. Young age (18-24), using methods not requiring provider involvement, and not receiving quality contraceptive care were key attributes associated with unfulfilled contraceptive preferences. Those using emergency contraception and fertility awareness-based methods had some of the highest levels of unfulfilled contraceptive preferences, while pills, condoms, partner vasectomy, and IUDs were identified as the most preferred methods. Reasons for not using preferred contraceptive methods fell largely into one of two buckets: system-level or interpersonal/individual reasons. CONCLUSIONS: Our findings highlight that avenues for decreasing the gap between contraceptive methods used and those preferred to be used may lie with healthcare providers and funding streams that support the delivery of contraceptive care.

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OBJECTIVE: The state of Vermont has a statewide waiver from the centers for medicare and medicaid services to allow all-payer Accountable Care Organizations (ACOs). The Vermont all-payer model (VAPM) waiver is layered upon previous reforms establishing regional community health teams (CHTs) and medical homes. The waiver is intended to incentivize healthcare value and quality and create alignment between health system payers, providers, and CHTs. The objective of this study was to examine CHT's trade-offs and preferences for health, equity, and spending and the alignment with VAPM priorities. DATA SOURCES/STUDY SETTING: Data were gathered from a survey and discrete choice experiment among CHT leadership and CHT team members of the 13 CHTs in Vermont. STUDY DESIGN: We used conditional logit models to model the choice as a function of its characteristics (attributes) and mixed logit models to analyze whether preferences for programs varied by persons and roles within CHTs. DATA COLLECTION/EXTRACTION METHODS: There were 60 respondents who completed the survey online with 14 choice tasks, with three program options in each task, for a total sample size of 2520. PRINCIPAL FINDINGS: We found that CHTs prioritized programs in the community health plan and those with quantitative evidence of effectiveness. They were less likely to choose either programs targeting racial and ethnic minorities or programs having a small effect on a large population. Preferences did not vary across individual or community attributes. Program priorities of the VAPM, especially healthcare spending, were not prioritized. CONCLUSIONS: The results suggest that the new VAPM does not automatically create system alignment: CHTs tended to prioritize local needs and voices. The statewide priorities are less important to CHTs, which have excellent internal alignment. This creates potential disconnection between state and community health goals. However, CHTs and the VAPM prioritize similar populations, indicating an opportunity to increase alignment by allowing flexible programs tailored to local needs. CHTs also prioritized programs with a strong evidence base, suggesting another potential avenue to create system alignment.

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Introduction: In Scotland, prostate cancer services have struggled to meet demand, and urological cancer services have missed Scottish Government waiting time targets to a greater extent than other cancer services. This study provides understanding of the capacity development needs of a national prostate cancer service including why the service had been unable to adapt to meet demand and how capacity could be developed. Methods: Delphi technique was applied to a purposive sample of prostate cancer clinicians working across Scotland between 2015 and 2017. Interviews were conducted with healthcare professionals involved in delivery of care to people with prostate cancer including General Practitioners, followed by questionnaires which were distributed to Specialist Nurses, Oncologists and Urologists involved in delivering specialist prostate cancer services within NHS Scotland. Findings are reported from interviews analysed using a directed approach to content analysis, followed by three rounds of iterative online questionnaires analysed using descriptive statistics. Results: Reform is needed to meet demand within prostate cancer services in Scotland. Barriers to capacity development included: lack of shared understanding of quality of care between policy makers and healthcare professionals; lack of leadership of service developments nationally and regionally; and difficulties in drawing on other capacities to support the service. Cohesive working and a need for efficient training for nurse specialists were needed to develop capacity. Consensus was reached for development of national working groups to set standards for quality care (100% agreement) and further development of existing regional working groups (100% agreement) to implement this care (91% agreement), which should include input from primary and community care practitioners (100% agreement) to meet demand. Discussion: This work provides important understanding of barriers and facilitators to service development across a national service, including highlighting the importance of a shared vision for quality care between policy makers and healthcare professionals. Mechanisms to support service change are identified.

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OBJECTIVE: To describe the process of implementing a Youth Participatory Action Research (YPAR) project at a continuation high school (CHS) and share the results of a youth-designed research project that explores barriers to high school completion. DATA SOURCES AND STUDY SETTING: YPAR was implemented across three cohorts at a CHS in the central coast of California from 2019 to 2022. Student survey respondents were enrolled CHS students between March and April 2021. STUDY DESIGN: A modified YPAR curriculum integrating research methodology and social justice topics was used to guide student-led research that resulted in a cross-sectional survey. DATA COLLECTION: Field notes maintained by the first author documented the process of implementing YPAR including the curriculum, conversations, and research decisions and procedures. A student-designed survey disseminated to all enrolled students resulted in 76 (66%) participant responses. The survey included 18 close-ended questions and three narrative responses. PRINCIPAL FINDINGS: This study details how YPAR methodologies can be translated to a high school credit recovery program. For example, student cohorts were needed to maintain continuity over time. A student-designed survey revealed that 72% of student respondents reported taking care of family members and illuminated high rates of depression symptoms. CONCLUSIONS: This study offers a detailed description of how we implemented YPAR at a credit recovery program and provides student-driven perspectives on educational reform and evaluation. This project addresses the implementation and challenges of using YPAR to engage youth in transformational resistance to rapidly study and improve CHS' policy and practice.

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OBJECTIVE: To compare countries' health care needs by segmenting populations into a set of needs-based health states. DATA SOURCES: We used seven waves of the Survey of Health, Aging and Retirement in Europe (SHARE) panel survey data. STUDY DESIGN: We developed the Cross-Country Simple Segmentation Tool (CCSST), a validated clinician-administered instrument for categorizing older individuals by distinct, homogeneous health and related social service needs. Using clinical indicators, self-reported physician diagnosis of chronic disease, and performance-based tests conducted during the survey interview, individuals were assigned to 1-5 global impressions (GI) segments and assessed for having any of the four identifiable complicating factors (CFs). We used Cox proportional hazard models to estimate the risk of mortality by segment. First, we show the segmentation cross-sectionally to assess cross-country differences in the fraction of individuals with different levels of medical needs. Second, we compare the differences in the rate at which individuals transition between those levels and death. DATA COLLECTION/EXTRACTION METHODS: We segmented 270,208 observations (from Austria, Belgium, Czech Republic, Denmark, France, Germany, Greece, Israel, Italy, the Netherlands, Poland, Spain, Sweden, and Switzerland) from 96,396 individuals into GI and CF categories. PRINCIPAL FINDINGS: The CCSST is a valid tool for segmenting populations into needs-based states, showing Switzerland with the lowest fraction of individuals in high medical needs segments, followed by Denmark and Sweden, and Poland with the highest fraction, followed by Italy and Israel. Comparing hazard ratios of transitioning between health states may help identify country-specific areas for analysis of ecological and cultural risk factors. CONCLUSIONS: The CCSST is an innovative tool for aggregate cross-country comparisons of both health needs and transitions between them. A cross-country comparison gives policy makers an effective means of comparing national health system performance and provides targeted guidance on how to identify strategies for curbing the rise of high-need, high-cost patients.

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OBJECTIVE: To assess the prevalence of patient administrative tasks and whether they are associated with delayed and/or foregone care. DATA SOURCE: March 2019 Health Reform Monitoring Survey. STUDY DESIGN: We assess the prevalence of five common patient administrative tasks-scheduling, obtaining information, prior authorizations, resolving billing issues, and resolving premium problems-and associated administrative burden, defined as delayed and/or foregone care. Using multivariate logistic models, we examined the association of demographic characteristics with odds of doing tasks and experiencing burdens. Our outcome variables were five common types of administrative tasks as well as composite measures of any task, any delayed care, any foregone care, and any burden (combined delayed/foregone), respectively. DATA COLLECTION: We developed and administered survey questions to a nationally representative sample of insured, nonelderly adults (n = 4155). PRINCIPAL FINDINGS: The survey completion rate was 62%. Seventy-three percent of respondents reported performing at least one administrative task in the past year. About one in three task-doers, or 24.4% of respondents overall, reported delayed or foregone care due to an administrative task: Adjusted for demographics, disability status had the strongest association with administrative tasks (adjusted odds ratio [OR] 2.91, p < 0.001) and burden (adjusted OR 1.66, p < 0.001). Being a woman was associated with doing administrative tasks (adjusted OR 2.19, p < 0.001). Being a college graduate was associated with performing an administrative task (adjusted OR 2.79, p < 0.001), while higher income was associated with fewer subsequent burdens (adjusted OR 0.55, p < 0.01). CONCLUSIONS: Patients frequently do administrative tasks that can create burdens resulting in delayed/foregone care. The prevalence of delayed/foregone care due to administrative tasks is comparable to similar estimates of cost-related barriers to care. Demographic disparities in burden warrant further attention. Enhancing measurement of patient administrative work and associated burdens may identify opportunities for assessing quality, value, and patient experience.

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OBJECTIVE: This article employs a best-worst scaling (BWS) experiment to identify the claims-based outcomes that matter most to patients and other relevant parties when evaluating pediatric antipsychotic monitoring programs in the United States. DATA SOURCES: Patients and relevant parties, with pediatric antipsychotic oversight and treatment experience, completed a BWS experiment, including policymakers (n = 31), foster care alumni (n = 28), caseworkers (n = 23), prescribing clinicians (n = 32), and caregivers (n = 18). STUDY DESIGN: Respondents received surveys with a scenario on antipsychotic monitoring programs and ranked 11 candidate claims-based outcomes as most and least important for program evaluation. DATA ANALYSIS: Stratified by respondent group, best-worst scores were calculated to identify the relative importance of the claims-based outcomes. A conditional logit examined whether candidate outcomes for safety, quality, and unintended consequences were preferred over reduction in antipsychotic treatment, the outcome used most often to evaluate antipsychotic monitoring programs. PRINCIPAL FINDINGS: Safety indicators (eg, antipsychotic co-pharmacy, cross-class polypharmacy, higher than recommended doses) ranked among the top three candidate outcomes across respondent groups and were an important complement to antipsychotic treatment reduction. Foster care alumni prioritized "antipsychotic treatment reduction" and "increased psychosocial treatment." Caseworkers, prescribers, and caregivers prioritized "increased follow-up after treatment initiation." Potential unintended consequences of an antipsychotic monitoring program ranked lowest, including increased use of other psychotropic medication classes (as a substitute), increased psychiatric hospital stays, and increased emergency room utilization. Results of the conditional logit model found only caregivers significantly preferred other indicators over antipsychotic treatment reduction, preferring improvements in follow-up care (5.78) and psychosocial treatment (4.53) and reduction in prescriptions of higher than recommended doses (3.64). CONCLUSIONS: The BWS experiment supported rank ordering of candidate claims-based outcomes demonstrating the opportunity for future studies to align outcomes used in antipsychotic monitoring program evaluations with community preferences, specifically by diversifying metrics to include safety and quality indicators.

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BACKGROUND: Retina sub-specialists provide much of the retina related eye care across Canada. In the province of Alberta, 18 retina sub-specialists work across six different offices. The purpose of this study was to assess the quality of care provided by Alberta retina sub-specialists in an office setting by administering a patient satisfaction survey. The results of this survey were provided to the same retina specialists to promote improvements in patient-centered health care delivery. METHODS: A cross sectional patient satisfaction survey was performed using a thirty-part questionnaire developed in collaboration with the Physician Learning Program at the University of Alberta. The survey was modelled after other similar patient satisfaction surveys used in other areas of medicine. Patients from ten of the eighteen retina practices in Alberta participated in this survey. Topics of the survey included pre-appointment experience, physician-patient interactions and quality, comments/ feedback and patient demographics. RESULTS: 214 randomly sampled patients completed the survey from three geographically separate office locations in Calgary and Edmonton. 90% of patients responded that their retina sub-specialist listened adequately and provided quality care in a timely manner. Patients felt that there could be improvements to accessibility to the clinic and reduced wait times, as well as in the pre-operative consent process. Including a more complete explanation of the procedure as well as the potential risks and benefits. Only 51% of patients felt that the risks of a potential surgery had been adequately explained to them. There was a statistically significant association found between overall satisfaction and lower wait times, understanding of procedural risks and time with, listening to and involving the patient in care. There were no correlations found with other demographics such as ethnicity, sex, distance traveled or age. CONCLUSIONS: This patient satisfaction survey provided valuable patient care feedback to the retina sub-specialists of Alberta. The survey results will assist this group to improve the consent process and thereby improve patient centered health care delivery. We would recommend the distribution of this survey or other similar patient satisfaction questionnaire by retina sub-specialists to their patients to improve patient centered care in their clinics.

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OBJECTIVE: Examine care integration-efforts to unify disparate parts of health care organizations to generate synergy across activities occurring within and between them-to understand whether and at which organizational level health systems impact care quality and staff experience. DATA SOURCES: Surveys administered to one practice manager (56/59) and up to 26 staff (828/1360) in 59 practice sites within 24 physician organizations within 17 health systems in four states (2017-2019). STUDY DESIGN: We developed manager and staff surveys to collect data on organizational, social, and clinical process integration, at four organizational levels: practice site, physician organization, health system, and outside health systems. We analyzed data using descriptive statistics and regression. PRINCIPAL FINDINGS: Managers and staff perceived opportunity for improvement across most types of care integration and organizational levels. Managers/staff perceived little variation in care integration across health systems. They perceived better care integration within practice sites than within physician organizations, health systems, and outside health systems-up to 38 percentage points (pp) lower (P < .001) outside health systems compared to within practice sites. Of nine clinical process integration measures, one standard deviation (SD) (7.2-pp) increase in use of evidence-based care related to 6.4-pp and 8.9-pp increases in perceived quality of care by practice sites and health systems, respectively, and a 4.5-pp increase in staff job satisfaction; one SD (9.7-pp) increase in integration of social services and community resources related to a 7.0-pp increase in perceived quality of care by health systems; one SD (6.9-pp) increase in patient engagement related to a 6.4-pp increase in job satisfaction and a 4.6-pp decrease in burnout; and one SD (10.6-pp) increase in integration of diabetic eye examinations related to a 5.5-pp increase in job satisfaction (all P < .05). CONCLUSIONS: Measures of clinical process integration related to higher staff ratings of quality and experience. Action is needed to improve care integration within and outside health systems.

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BACKGROUND: Acute Care Surgery (ACS) was developed as a structured, team-based approach to providing round-the-clock emergency general surgery (EGS) care for adult patients needing treatment for diseases such as cholecystitis, gastrointestinal perforation, and necrotizing fasciitis. Lacking any prior evidence on optimizing outcomes for EGS patients, current implementation of ACS models has been idiosyncratic. We sought to use a Donabedian approach to elucidate potential EGS structures and processes that might be associated with improved outcomes as an initial step in designing the optimal model of ACS care for EGS patients. METHODS: We developed and implemented a national survey of hospital-level EGS structures and processes by surveying surgeons or chief medical officers regarding hospital-level structures and processes that directly or indirectly impacted EGS care delivery in 2015. These responses were then anonymously linked to 2015 data from the American Hospital Association (AHA) annual survey, Medicare Provider Analysis and Review claims (MedPAR), 17 State Inpatient Databases (SIDs) using AHA unique identifiers (AHAID). This allowed us to combine hospital-level data, as reported in our survey or to the AHA, to patient-level data in an effort to further examine the role of EGS structures and processes on EGS outcomes. We describe the multi-step, iterative process utilizing the Donabedian framework for quality measurement that serves as a foundation for later work in this project. RESULTS: Hospitals that responded to the survey were primarily non-governmental and located in urban settings. A plurality of respondent hospitals had fewer than 100 inpatient beds. A minority of the hospitals had medical school affiliations. DISCUSSION: Our results will enable us to develop a measure of preparedness for delivering EGS care in the US, provide guidance for regionalized care models for EGS care, tiering of ACS programs based on the robustness of their EGS structures and processes and the quality of their outcomes, and formulate triage guidelines based on patient risk factors and severity of EGS disease. CONCLUSIONS: Our work provides a template for team science applicable to research efforts combining primary data collection (i.e., that derived from our survey) with existing national data sources (i.e., SIDs and MedPAR).

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OBJECTIVE: To examine reported experiences of gender discrimination and harassment among US women. DATA SOURCE AND STUDY DESIGN: Data come from a nationally representative, probability-based telephone survey of 1596 women, conducted January-April 2017. METHODS: We calculated the percentages of women reporting gender discrimination and harassment in several domains, including health care. We used logistic regression to examine variation in experiences among women by race/ethnicity and sexual orientation/gender identity. PRINCIPAL FINDINGS: Sizable fractions of women experience discrimination and harassment, including discrimination in health care (18 percent), equal pay/promotions (41 percent), and higher education (20 percent). In adjusted models, Native American, black, and Latina women had higher odds than white women of reporting gender discrimination in several domains, including health care. Latinas' odds of health care avoidance versus whites was (OR [95% CI]) 3.69 (1.59, 8.58), while blacks' odds of discrimination in health care visits versus whites was 2.00 [1.06, 3.74]. Lesbian, gay, bisexual, transgender, and queer (LGBTQ) women had higher odds of reporting sexual harassment (2.16 [1.06, 4.40]) and violence (2.71 [1.43, 5.16]) against themselves or female family members than non-LGBTQ women. CONCLUSIONS: Results suggest that discrimination and harassment are widely experienced by women across multiple domains of their lives, particularly those who are a racial/ethnic minority or LGBTQ. Further policy and programmatic efforts beyond current legal protections for women are needed to meaningfully reduce these negative experiences, as they impact women's health care and their lives overall.

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OBJECTIVE: To summarize findings from this Special Issue, which examine reported experiences of discrimination among six underrepresented groups in public opinion research-blacks, Latinos, Native Americans, Asian Americans, lesbian, gay, bisexual, transgender, or queer (LGBTQ) adults, and women. DATA SOURCE AND STUDY DESIGN: Data come from a nationally representative, probability-based telephone survey of 3453 US adults, conducted January-April 2017. METHODS: We calculated the percent of adults reporting discrimination in several domains, including health care. PRINCIPAL FINDINGS: In health care encounters, 32 percent of black adults reported discrimination, as did 23 percent of Native Americans, 20 percent of Latinos, 18 percent of women, 16 percent of LGBTQ adults, and 13 percent of Asian Americans. Significant shares also reported experiencing racial, gender, or LGBTQ identity-based violence against themselves or family members, including 51 percent of LGBTQ adults, 42 percent of blacks, 38 percent of Native Americans, and 21 percent of women. At least one in seven blacks (22 percent), LGBTQ adults (18 percent), Latinos (17 percent), and Native Americans (15 percent) reported avoiding health care for themselves or family members over concerns of anticipated discrimination or unfair treatment. CONCLUSIONS: Taken together, this polling effort illustrates the significant and widespread level of discrimination against many groups in America today, as well as the complex manifestation of these experiences across different groups and different areas of life. While it is beyond the scope of these results to make specific recommendations for how to end discrimination in each area of life we studied, this Special Issue provides important evidence that more research and practice on discrimination are sorely needed in health services research.

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OBJECTIVE: To describe survey methods used to examine reported experiences of discrimination against African Americans, Latinos, Asian Americans, Native Americans, women, and LGBTQ (lesbian, gay, bisexual, transgender, and queer) adults. DATA SOURCE AND STUDY DESIGN: Data came from a nationally representative, probability-based telephone survey of 3453 US adults, conducted January-April 2017. METHODS: We examined the survey instrument, sampling design, and weighting of the survey, and present selected survey findings. PRINCIPAL FINDINGS: Examining reported discrimination experienced by multiple groups in a telephone survey requires attention to details of sampling and weighting. In health care settings, 32 percent of African Americans reported discrimination, as did 23 percent of Native Americans, 20 percent of Latinos, 18 percent of women, 16 percent of LGBTQ adults, and 13 percent of Asian Americans. Also, 51 percent of LGBTQ adults, 42 percent of African Americans, and 38 percent of Native Americans reported identity-based violence against themselves or family members; 57 percent of African Americans and 41 percent of women reported discrimination in pay or promotions; 50 percent of African Americans, 29 percent of Native Americans, and 27 percent of Latinos reported being discriminated against in interactions with police. CONCLUSIONS: Even the small selection of results presented in this article as examples of survey measures show a pattern of substantial reported discrimination against all six groups studied.

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OBJECTIVE: To assess the effect of changing survey questions on plan-level patient experience measures and ratings. DATA SOURCE: 2015 Medicare Advantage CAHPS Survey respondents. STUDY DESIGN: Ninety three randomly selected beneficiaries in each of 40 MA plans received a revised (5.0) CAHPS survey; 38 832 beneficiaries received version 4.0. Linear mixed-effect regression predicted CAHPS measures from fixed effects for survey version and beneficiary characteristics and random effects for plan and plan-by-version random slope. PRINCIPAL FINDINGS: Response rates were 42 percent for both versions. Removal of "try to" from screeners increased the percentage of respondents eligible for follow-up questions. Version 5.0 caused a small increase (1-3 points on a 0-100 scale, P < 0.05) in the mean of three altered measures and a moderate increase (>3 points) in one. There was a small statistically significant increase in two unaltered measures. These changes were uniform across plans, so there would be no expected change compared to results using the legacy survey in the score distributions other than uniform mean shifts, and no expected effect on summary measures. CONCLUSIONS: These analyses illustrate how to assess the impact of seemingly minor survey modifications for other national surveys considering changes and highlight the importance of screeners in instrument design.

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OBJECTIVES: To identify patient-reported experience measures (PREMs), assess their validity and reliability, and assess any bias in the study design of PREM validity and reliability testing. DATA SOURCES/STUDY SETTING: Articles reporting on PREM development and testing sourced from MEDLINE, CINAHL and Scopus databases up to March 13, 2018. STUDY DESIGN: Systematic review. DATA COLLECTION/EXTRACTION METHODS: Critical appraisal of PREM study design was undertaken using the Appraisal tool for Cross-Sectional Studies (AXIS). Critical appraisal of PREM validity and reliability was undertaken using a revised version of the COSMIN checklist. PRINCIPAL FINDINGS: Eighty-eight PREMs were identified, spanning across four main health care contexts. PREM validity and reliability was supported by appropriate study designs. Internal consistency (n = 58, 65.2 percent), structural validity (n = 49, 55.1 percent), and content validity (n = 34, 38.2 percent) were the most frequently reported validity and reliability tests. CONCLUSIONS: Careful consideration should be given when selecting PREMs, particularly as seven of the 10 validity and reliability criteria were not undertaken in ≥50 percent of the PREMs. Testing PREM responsiveness should be prioritized for the application of PREMs where the end user is measuring change over time. Assessing measurement error/agreement of PREMs is important to understand the clinical relevancy of PREM scores used in a health care evaluation capacity.

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OBJECTIVE: To describe the modified Patient-Centered Medical Home Assessment (M-PCMH-A) survey module developed to track primary care practices' care delivery approaches over time, assess whether its underlying factor structure is reliable, and produce factor scores that provide a more reliable summary measure of the practice's care delivery than would a simple average of question responses. DATA SOURCES/STUDY SETTING: Survey data collected from diverse practices participating in the Comprehensive Primary Care (CPC) initiative in 2012 (n = 497) and 2014 (n = 493) and matched comparison practices in 2014 (n = 423). STUDY DESIGN: Confirmatory factor analysis. DATA COLLECTION: Thirty-eight questions organized in six domains: Access and Continuity of Care, Planned Care for Chronic Conditions and Preventive Care, Risk-Stratified Care Management, Patient and Caregiver Engagement, Coordination of Care across the Medical Neighborhood, and Continuous Data-Driven Improvement. PRINCIPAL FINDINGS: Confirmatory factor analysis suggested using seven factors (splitting one domain into two), reassigning two questions to different domain factors, and removing one question, resulting in high reliability, construct validity, and stability in all but one factor. The seven factors together formed a single higher-order factor summary measure. Factor scores guard against potential biases from equal weighting. CONCLUSIONS: The M-PCMH-A can validly and reliably track primary care delivery across practices and over time using factors representing seven key components of care as well as an overall score. Researchers should calculate factor loadings for their specific data if possible, but average scores may be suitable if they cannot use factor analysis due to resource or sample constraints.

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OBJECTIVE: To explore the impact of hospital report card design and incorporation of patient narrative comments on consumers' choices of hospitals. DATA SOURCES: Primary data collected from an online survey with 1,350 respondents in February, 2015. STUDY DESIGN: A randomized 2 (narrative comments: yes, no) × 3 (design: representation of clinical performance in textual, star, numerical formats) between-subject online-based cross-sectional experiment. PRINCIPAL FINDINGS: In 51 percent of all cases, respondents selected the hospital with the best clinical results. Report cards with a numerical design induced choices more focused on clinical ratings (56.0 percent chose the highest rated hospital) than those with textual information (48.1 percent) or star ratings (47.3 percent) (p < .001). Report cards without narrative comments (49.7 percent) and with narratives (51.4 percent) were not associated with significant difference in selecting top-rated clinical hospitals (p = .376). But there were significant interactions affecting choice of hospitals among exposure to narratives, formatting of clinical performance, and respondents' education. CONCLUSIONS: Consumers have a difficult time synthesizing quality data in various formats. Hospital report cards continue to pose challenging choices, especially for those with limited education. Narrative comments in their earliest emerging forms do not seem to be altering hospital choice as much as the literature has suggested for other providers, but they may have consequential impact on the choices of certain subsets of consumers.

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OBJECTIVE: To examine the relationship between physician advice to quit smoking and patient care experiences. DATA SOURCE: The 2012 Medicare Consumer Assessment of Healthcare Providers and Systems (MCAHPS) surveys. STUDY DESIGN: Fixed-effects linear regression models were used to analyze cross-sectional survey data, which included a nationally representative sample of 26,432 smokers aged 65+. PRINCIPAL FINDINGS: Eleven of 12 patient experience measures were significantly more positive among smokers who were always advised to quit smoking than those advised to quit less frequently. There was an attenuated but still significant and positive association of advice to quit smoking with both physician rating and physician communication, after controlling for other measures of care experiences. CONCLUSIONS: Physician-provided cessation advice was associated with more positive patient assessments of their physicians.

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OBJECTIVE: To assess how changes in curriculum, accreditation standards, and certification and licensure competencies impacted how medical students and physician residents value interprofessional team and patient-centered care. PRIMARY DATA SOURCE: The Department of Veterans Affairs Learners' Perceptions Survey (2003-2013). The nationally administered survey asked a representative sample of 56,569 U.S. medical students and physician residents, with a comparison group of 78,038 nonphysician trainees, to rate satisfaction with 28 elements, in two overall domains, describing their clinical learning experiences at VA medical centers. STUDY DESIGN: Value preferences were scored as independent adjusted associations between an element (interprofessional team, patient-centered preceptor) and the respective overall domain (clinical learning environment, faculty, and preceptors) relative to a referent element (quality of clinical care, quality of preceptor). PRINCIPAL FINDINGS: Physician trainees valued interprofessional (14 percent vs. 37 percent, p < .001) and patient-centered learning (21 percent vs. 36 percent, p < .001) less than their nonphysician counterparts. Physician preferences for interprofessional learning showed modest increases over time (2.5 percent/year, p < .001), driven mostly by internal medicine and surgery residents. Preferences did not increase with trainees' academic progress. CONCLUSIONS: Despite changes in medical education, physician trainees continue to lag behind their nonphysician counterparts in valuing experience with interprofessional team and patient-centered care.

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OBJECTIVE: The Medicare Current Beneficiary Survey's (MCBS) Access to Care (ATC) file is designed to provide timely access to information on the Medicare population, yet because of the survey's complex sampling design and expedited processing it is difficult to use the file to make both "always-enrolled" and "ever-enrolled" estimates on the Medicare population. In this study, we describe the ATC file and sample design, and we evaluate and review various alternatives for producing "ever-enrolled" estimates. METHODS: We created "ever enrolled" estimates for key variables in the MCBS using three separate approaches. We tested differences between the alternative approaches for statistical significance and show the relative magnitude of difference between approaches. RESULTS: Even when estimates derived from the different approaches were statistically different, the magnitude of the difference was often sufficiently small so as to result in little practical difference among the alternate approaches. However, when considering more than just the estimation method, there are advantages to using certain approaches over others. CONCLUSION: There are several plausible approaches to achieving "ever-enrolled" estimates in the MCBS ATC file; however, the most straightforward approach appears to be implementation and usage of a new set of "ever-enrolled" weights for this file.

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