Hospital Capabilities Associated With Behavioral Health Integration Within Emergency Departments

OBJECTIVES

To identify hospital capabilities associated with behavioral health (BH) processes in emergency departments (EDs).

RESEARCH DESIGN

Six hundred two hospital responses to the 2017/2018 National Survey of Healthcare Organizations and Systems were linked to 2017 American Hospital Association Annual Survey data. Separate multivariable regressions estimated how hospital capabilities (the use of quality improvement methods, approaches to disseminate best patient-care practices, barriers to using care delivery innovations, and inpatient beds for psychiatric or substance use) were associated with each of 4 ED-based BH processes: mental health and substance use disorder screening, team-based approaches to BH, telepsychiatry, and direct referrals to community-based BH clinicians. Models controlled for hospital structural characteristics and area-level socioeconomic factors.

RESULTS

Most hospitals screened for BH conditions and provided direct referrals to community-based BH clinicians. Approximately half of the hospitals used a team approach to BH. A minority had implemented telepsychiatry. Each additional process used to disseminate best patient-care practices was associated with more screening for BH conditions (an increase of 4.07 points on the screening index, P <0.01) and greater likelihood of using a team approach to BH [4.41 percentage point ( P <0.01) increase]. Hospitals reporting more barriers to the use of care delivery innovations reported less screening and use of a team approach [a decrease of 0.15 points on the screening index ( P <0.01) and 0.28 percentage points reduction in likelihood of team approach use ( P <0.001) for 1-point increase in the barrier index].

CONCLUSIONS

Research and interventions focused on removing innovation barriers or adding processes to disseminate best practices offer a path to accelerate BH integration in hospital EDs.

Telemedicine Implementation for Safety Net Populations: A Systematic Review

Background: Telemedicine systems were rapidly implemented in response to COVID-19. However, little is known about their effectiveness, acceptability, and sustainability for safety net populations. This study systematically reviewed primary care telemedicine implementation and effectiveness in safety net settings. Methods: We searched PubMed for peer-reviewed articles on telemedicine implementation from 2013 to 2021. The search was done between June and December 2021. Included articles focused on health care organizations that primarily serve low-income and/or rural populations in the United States. We screened 244 articles from an initial search of 343 articles and extracted and analyzed data from N = 45 articles. Results: Nine (20%) of 45 articles were randomized controlled trials. N = 22 reported findings for at least one marginalized group (i.e., racial/ethnic minority, 65 years+, limited English proficiency). Only n = 19 (42%) included African American/Black patients in demographics descriptions, n = 14 (31%) LatinX/Hispanic patients, n = 4 (9%) Asian patients, n = 4 (9%) patients aged 65+ years, and n = 4 (9%) patients with limited English proficiency. Results show telemedicine can provide high-quality primary care that is more accessible and affordable. Fifteen studies assessed barriers and facilitators to telemedicine implementation. Common barriers were billing/administrative workflow disruption (n = 9, 20%), broadband access/quality (n = 5, 11%), and patient preference for in-person care (n = 4, 9%). Facilitators included efficiency gains (n = 6, 13%), patient acceptance (n = 3, 7%), and enhanced access (n = 3, 7%). Conclusions: Telemedicine is an acceptable care modality to deliver primary care in safety net settings. Future studies should compare telemedicine and in-person care quality and test strategies to improve telemedicine implementation in safety net settings.

Conjoint Analysis of Telemedicine Preferences for Hypertension Management Among Adult Patients

Background: Telemedicine has been differentially utilized by different demographic groups during COVID-19, exacerbating inequities in health care. We conducted conjoint and latent class analyses to understand factors that shape patient preferences for hypertension management telemedicine appointments. Methods: We surveyed 320 adults, oversampling participants from households that earned <$50K per year (77.2%) and speak a language other than English at home (68.8%). We asked them to choose among 2 hypothetical appointments through 12 conjoint tasks measuring 6 attributes. Individual utilities for attributes were constructed using logit estimation, and latent classes were identified and compared by demographic and clinical characteristics. Results: Respondents preferred in-person visits (0.353, standard error [SE] = 0.039) and video appointments conducted through a secure patient portal (0.002, SE = 0.040). Respondents also preferred seeing a clinician with whom they have an established relationship (0.168, SE = 0.021). We found four latent classes: "in-person" (26.5% of participants) who strongly weighted in-person appointments, "cost conscious" (8.1%) who prioritized the lowest copay ($0 to $10), "expedited" (19.7%) who prioritized getting the earliest appointment possible (same/next day or at least within the next week), and "comprehensive" (45.6%) who had preferences for in-person care and telemedicine appointments through a secure portal, low copayments, and the ability to see a familiar clinician. Conclusions: Appointment preferences for hypertension management can be segmented into four groups that prioritize (1) in-person care, (2) low copayments, (3) expedited care, and (4) balanced preferences for in-person and telemedicine appointments. Evidence is needed to clarify whether aligning appointment offerings with patients' preferences can improve care quality, equity, and efficiency.

Linguistic Disparities in Diabetes Care Quality in California Community Health Centers Before and During the COVID-19 Pandemic

BACKGROUND

Disparities in diabetes care quality may have increased for patients with limited English language proficiency (LEP) compared to non-LEP patients during the COVID-19 pandemic. Changes in diabetes care quality for adult LEP and non-LEP patients of community health centers (CHCs) were examined from 2019 to 2020.

METHODS

Adults with Type 2 diabetes (n = 15 965) of 88 CHC sites in California and with 1+ visit/year in 2019 and 2020 from OCHIN electronic health record data were included. Multivariable regression models estimated the association of LEP status and changes in diabetes care quality from 2019 to 2020, controlling for patient sociodemographic and clinical characteristics. Interaction terms (LEP × 2020) were used to estimate differential over time changes in (1) blood pressure screening, (2) blood pressure control (<140/90 mm Hg), and (3) hemoglobin A1c control (HbA1c <8%) for LEP versus non-LEP patients.

RESULTS

LEP and non-LEP patients with diabetes had comparable blood pressure screening and control in 2019 and in 2020. LEP patients were less likely than non-LEP patients to have their HbA1c under control in 2019 (OR = 0.85, 95% CI = 0.77, 0.96, P = .006) and 2020 (OR = 0.83, 95% CI = 0.75, 0.92, P = .001). There were no differential changes in HbA1c control over time for LEP and non-LEP patients.

DISCUSSION

Although LEP patients were less likely than non-LEP patients to have their HbA1c under control, CHCs maintained quality of care equally for LEP and non-LEP patients with diabetes during the early pandemic period.

Improving health equity through health care systems research

OBJECTIVE

To describe health equity research priorities for health care delivery systems and delineate a research and action agenda that generates evidence-based solutions to persistent racial and ethnic inequities in health outcomes.

DATA SOURCES AND STUDY SETTING

This project was conducted as a component of the Agency for Healthcare Research and Quality's (AHRQ) stakeholder engaged process to develop an Equity Agenda and Action Plan to guide priority setting to advance health equity. Recommendations were developed and refined based on expert input, evidence review, and stakeholder engagement. Participating stakeholders included experts from academia, health care organizations, industry, and government.

STUDY DESIGN

Expert group consensus, informed by stakeholder engagement and targeted evidence review.

DATA COLLECTION/EXTRACTION METHODS

Priority themes were derived iteratively through (1) brainstorming and idea reduction, (2) targeted evidence review of candidate themes, (3) determination of preliminary themes; (4) input on preliminary themes from stakeholders attending AHRQ's 2022 Health Equity Summit; and (5) and refinement of themes based on that input. The final set of research and action recommendations was determined by authors' consensus.

PRINCIPAL FINDINGS

Health care delivery systems have contributed to racial and ethnic disparities in health care. High quality research is needed to inform health care delivery systems approaches to undo systemic barriers and inequities. We identified six priority themes for research; (1) institutional leadership, culture, and workforce; (2) data-driven, culturally tailored care; (3) health equity targeted performance incentives; (4) health equity-informed approaches to health system consolidation and access; (5) whole person care; (6) and whole community investment. We also suggest cross-cutting themes regarding research workforce and research timelines.

CONCLUSIONS

As the nation's primary health services research agency, AHRQ can advance equitable delivery of health care by funding research and disseminating evidence to help transform the organization and delivery of health care.

Implementation of a universal screening and follow-up care system for pediatric developmental and behavioral health in federally qualified health center sites

BACKGROUND

Despite guidelines from the American Academy of Pediatrics (AAP), many pediatric practices still do not have standardized screening processes in place to identify children with developmental delays. From April 2014 to April 2017, six federally qualified health center (FQHC) sites in Northern California implemented an intervention to increase (a) standardized developmental screening at recommended intervals and (b) follow-up care and support for early intervention services.

METHOD

The intervention aimed to optimize each site's screening processes, supported by an automated electronic tablet-based system. To improve follow-up support, social workers were hired to conduct follow-up clinical assessments, provide psychosocial education and treatment, provide referrals and case management support, and collaborate with service partners. We analyze operational and implementation data to characterize site adoption, patient reach, implementation processes, and intervention effectiveness.

RESULTS

During the intervention's final year, when tablet-based screening was adopted, the sites screened an estimated 6,550 children ages 0-18 at 23 intervals in three domains (developmental, autism, and psychosocial/behavioral), compared to a baseline where they screened ages 0-3 at four intervals in one domain. Screening rates increased from 65.3% to 75.5% after automation was extended from the first to the second site, then to 91.8% after automation was expanded to the remaining sites. Follow-up visit rates ranged between 74% and 88%.

CONCLUSIONS

Implementation of a multicomponent developmental and behavioral health screening and follow-up care intervention enabled FQHC sites to meet AAP recommendations and provide follow-up support. Disseminating the intervention may support population-level improvement in early detection and intervention for developmental delays and behavioral health concerns. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Care Redesign to Support Telemedicine Implementation During the COVID-19 Pandemic: Federally Qualified Health Center Personnel Experiences

BACKGROUND

Federally qualified health centers (FQHCs) rapidly adopted and implemented telemedicine during the COVID-19 pandemic. This study analyzes FQHC personnel accounts of care redesign strategies to support telemedicine implementation in 2020 and 2021, and identifies improvement opportunities.

METHODS

We conducted semistructured, in-depth interviews with clinic personnel (n = 15) at 2 FQHCs in Northern California (December 2020-April 2021) to examine telemedicine adoption and use of audio-video and audio-only/phone telemedicine encounters.

RESULTS

FQHC clinicians and staff reported that telemedicine implementation increased access to care and reduced appointment no-show rates. However, a reported reduced ability to develop and foster interpersonal connections negatively impacted clinician-patient relationships. Care redesign strategies included systems to triage appointment types (in-person versus virtual), work-arounds to screen for and address social and nonmedical needs, and new protocols to navigate privacy needs for first time telemedicine users. In addition, increasing remote monitoring capabilities was deemed an important priority for improving telemedicine use for marginalized populations.

CONCLUSIONS

Telemedicine implementation in FQHCs involved care redesign to optimize virtual interactions and care processes. Guidelines and evidence-based practices are needed to improve telemedicine use in FQHCs, including strategies to support interpersonal connections; approaches to virtually screen for and address social needs; and protocols to further mitigate privacy issues. Future research is needed to identify when telemedicine can optimally supplement in-person care to improve patient outcomes and clinic efficiency, particularly in safety net settings.

Racial-Ethnic Composition of Primary Care Practices and Comprehensive Primary Care Plus Initiative Participation

BACKGROUND

It remains unclear whether the racial-ethnic composition or the socioeconomic profiles of eligible primary care practices better explain practice participation in the Centers for Medicare and Medicaid Services' (CMS) Comprehensive Primary Care Plus (CPC+) program.

OBJECTIVE

To examine whether practices serving high proportions of Black or Latino Medicare fee-for-service (FFS) beneficiaries were less likely to participate in CPC+ in 2021 compared to practices serving lower proportions of these populations.

DESIGN

2019 IQVIA OneKey data on practice characteristics was linked with 2018 CMS claims data and 2021 CMS CPC+ participation data. Medicare FFS beneficiaries were attributed to practices using CMS's primary care attribution method.

PARTICIPANTS

11,718 primary care practices and 7,264,812 attributed Medicare FFS beneficiaries across 18 eligible regions.

METHODS

Multivariable logistic regression models examined whether eligible practices with relatively high shares of Black or Latino Medicare FFS beneficiaries were less likely to participate in CPC+ in 2021, controlling for the clinical and socioeconomic profiles of practices.

MAIN MEASURES

Proportion of Medicare FFS beneficiaries attributed to each practice that are (1) Latino and (2) Black.

KEY RESULTS

Of the eligible practices, 26.9% were CPC+ participants. In adjusted analyses, practices with relatively high shares of Black (adjusted odds ratio, aOR = 0.62, p < 0.05) and Latino (aOR = 0.32, p < 0.01) beneficiaries were less likely to participate in CPC+ compared to practices with lower shares of these beneficiary groups. State differences in CPC+ participation rates partially explained participation disparities for practices with relatively high shares of Black beneficiaries, but did not explain participation disparities for practices with relatively high shares of Latino beneficiaries.

CONCLUSIONS

The racial-ethnic composition of eligible primary care practices is more strongly associated with CPC+ participation than census tract-level poverty. Practice eligibility requirements for CMS-sponsored initiatives should be reconsidered so that Black and Latino beneficiaries are not left out of the benefits of practice transformation.

Collaborative Learning Among Health Care Organizations to Improve Quality and Advance Racial Equity

Background

The study examined stakeholder experiences of a statewide learning collaborative, sponsored and led by Blue Cross Blue Shield of Massachusetts (BCBSMA) and facilitated by the Institute for Healthcare Improvement (IHI) to reduce racial and ethnic disparities in quality of care.

Methods

Interviews of key stakeholders (n=44) were analyzed to assess experiences of collaborative learning and interventions to reduce racial and ethnic disparities in quality of care. The interviews included BCBSMA, IHI, provider groups, and external experts.

Results

Breast cancer screening, colorectal cancer screening, hypertension management, and diabetes management were focal areas for reducing disparities. Collaborative learning methods involved expert coaching, group meetings, and sharing of best practices. Interventions tested included pharmacist-led medication management, strategies to improve the collection of race, ethnicity, and language (REaL) data, transportation access improvement, and community health worker approaches. Stakeholder experiences highlighted three themes: (1) the learning collaborative enabled the testing of interventions by provider groups, (2) infrastructure and pilot funding were foundational investments, but groups needed more resources than they initially anticipated, and (3) expertise in quality improvement and health equity were critical for the testing of interventions and groups anticipated needing this expertise into the future.

Conclusions

BCBSMA's learning collaborative and intervention funding supported contracted providers in enhancing REaL data collection, implementing equity-focused interventions on a small scale, and evaluating their feasibility and impact. The collaborative facilitated learning among groups on innovative approaches for reducing racial disparities in quality. Concerns about sustainability underscore the importance of expertise for implementing initiatives to reduce racial and ethnic disparities.

Frontline work and racial disparities in social and economic pandemic stressors during the first COVID-19 surge

OBJECTIVE

To assess the magnitude of racial-ethnic disparities in pandemic-related social stressors and examine frontline work's moderating relationship on these stressors.

DATA SOURCES

Employed Californians' responses to the Institute for Governmental Studies (IGS) poll from April 16-20, 2020, were analyzed. The Pandemic Stressor Scale (PSS) assessed the extent to which respondents experienced or anticipated problems resulting from the inability to pay for basic necessities, job instability, lacking paid sick leave, unavailability of childcare, and reduced wages or work hours due to COVID-19.

STUDY DESIGN

Mixed-effects generalized linear models estimated (1) racial-ethnic disparities in pandemic stressors among workers during the first COVID-19 surge, adjusting for covariates, and (2) tested the interaction between race-ethnicity and frontline worker status, which includes a subset of essential workers who must perform their job on-site, to assess differential associations of frontline work by race-ethnicity.

DATA COLLECTION

The IGS poll data from employed workers (n = 4795) were linked to the 2018 Centers for Disease Control and Prevention Social Vulnerability Index at the zip code level (N = 1068).

PRINCIPAL FINDINGS

The average PSS score was 37.34 (SD = 30.49). Whites had the lowest PSS score (29.88, SD = 26.52), and Latinxs had the highest (50.74, SD = 32.61). In adjusted analyses, Black frontline workers reported more pandemic-related stressors than White frontline workers (PSS = 47.73 vs. 36.96, p < 0.001). Latinxs reported more pandemic stressors irrespective of frontline worker status. However, the 5.09-point difference between Latinx frontline and non-frontline workers was not statistically different from the 4.6-point disparity between White frontline and non-frontline workers.

CONCLUSION

Latinx workers and Black frontline workers disproportionately reported pandemic-related stressors. To reduce stress on frontline workers during crises, worker protections like paid sick leave, universal access to childcare, and improved job security are needed, particularly for those disproportionately affected by structural inequities, such as racially minoritized populations.

Shared Decision-making Lowers Medical Expenditures and the Effect Is Amplified in Racially-Ethnically Concordant Relationships

BACKGROUND

Racial-ethnic disparities are pervasive in health care. One mechanism that may underlie disparities is variation in shared decision-making (SDM), which encompasses high-quality clinician-patient communication, including deliberative discussions about treatment options.

OBJECTIVES

To determine whether SDM has causal effects on outcomes and whether these effects are stronger within racial-ethnic concordant clinician-patient relationships.

RESEARCH DESIGN

We use instrumental variables to estimate the causal effect of SDM on outcomes.

SUBJECTS

A total of 60,584 patients from the 2003-2017 Integrated Public Use Microdata Series Medical Expenditure Panel Survey. Years 2018 and 2019 were excluded due to changes in the Medical Expenditure Panel Survey that omitted essential parts of the SDM index.

MEASURES

Our key variable of interest is the SDM index. Outcomes included total, outpatient, and drug expenditures; physical and mental health; and the utilization of inpatient and emergency services.

RESULTS

SDM lowers annual total health expenditures for all racial-ethnic groups, but this effect is only moderated among Black patients seen by Black clinicians, more than doubling in size relative to Whites. A similar SDM moderation effect also occurs for both Black patients seen by Black clinicians and Hispanic patients seen by Hispanic clinicians with regard to annual outpatient expenditures. There was no significant effect of SDM on self-reported physical or mental health.

CONCLUSIONS

High-quality SDM can reduce health expenditures without negatively impacting overall physical or mental health, supporting a business case for health care organizations and systems to improve racial-ethnic clinician-patient concordance for Black and Hispanic patients.

Hospital Characteristics Associated With Clinically Integrated Network Participation

BACKGROUND

Increased integration of physician organizations and hospitals into health systems has not necessarily improved clinical integration or patient outcomes. However, federal regulators have issued favorable opinions for clinically integrated networks (CINs) as a way to pursue coordination between hospitals and physicians. Hospital organizational affiliations, including independent practice associations (IPA), physician-hospital organizations (PHOs), and accountable care organizations (ACOs), may support CIN participation. No empirical evidence, however, exists about factors associated with CIN participation.

METHODS

Data from the 2019 American Hospital Association survey (n = 4405) were analyzed to quantify hospital CIN participation. Multivariable logistic regression models were estimated to examine whether IPA, PHO, and ACO affiliations were associated with CIN participation, controlling for market factors and hospital characteristics.

RESULTS

In 2019, 34.6% of hospitals participated in a CIN. Larger, not-for-profit, and metropolitan hospitals were more likely to participate in CINs. In adjusted analyses, hospitals participating in CINs were more likely to have an IPA (9.5% points, P < 0.001), a PHO (6.1% points, P < 0.001), and ACO (19.3% points, P < 0.001) compared with hospitals not participating in a CIN.

CONCLUSIONS

Over one-third of hospitals participate in a CIN, despite limited evidence about their effectiveness in delivering value. Results suggest that CIN participation may be a response to integrative norms. Future work should attempt to better define CIN participation and strive to disentangle overlapping organizational participation.

Racial Discrimination, Social Disadvantage, and Racial-Ethnic Disparities in COVID-19 Vaccine Uptake

Introduction

Racial-ethnic disparities in COVID-19 vaccination are well documented. The extent to which racism, manifested at the individual and ZIP code levels, explains disparities in early vaccination uptake remains unclear.

Methods

Data from a statewide poll of California registered voters (N=10,256), conducted between April 29 and May 5, 2021, linked to area-level resource data, were analyzed. Weighted multivariable logistic regression models examined racial disparities in COVID-19 vaccination. Decomposition analyses quantified how much of the observed racial disparities in vaccination were explained by racial discrimination and social disadvantage (i.e., educational attainment, 2019 household income, and ZIP code social vulnerability).

Results

Latinx (64.6%) and Black (66.7%) adults were less likely to have at least 1 COVID-19 vaccine dose by April or May 2021 than White adults (74.7%). In adjusted analyses, Latinx (AOR=0.69, 95% CI=0.57, 0.84) and Black (AOR=0.51, 95% CI=0.37, 0.70) adults had a lower likelihood of being vaccinated than Whites. Social disadvantage accounted for 77.4% (p<0.05) and 35.8% (p<0.05) of the explainable variation in Latinx-White and Black-White disparities, respectively. Self-reported racial discrimination was not associated with COVID-19 vaccination in adjusted analyses.

Conclusions

Social disadvantage but not self-reported racial discrimination explained racial-ethnic disparities in COVID-19 vaccination in California. Removing resource-related barriers may help to increase the relatively low COVID-19 vaccination rates among Black and Latinx populations.

Effectiveness and implementation of a text messaging intervention to reduce depression and anxiety symptoms among Latinx and Non-Latinx white users during the COVID-19 pandemic

Text messaging interventions are increasingly used to help people manage depression and anxiety. However, little is known about the effectiveness and implementation of these interventions among U.S. Latinxs, who often face barriers to using mental health tools. The StayWell at Home (StayWell) intervention, a 60-day text messaging program based on cognitive behavioral therapy (CBT), was developed to help adults cope with depressive and anxiety symptoms during the COVID-19 pandemic. StayWell users (n = 398) received daily mood inquiries and automated skills-based text messages delivering CBT-informed coping strategies from an investigator-generated message bank. We conduct a Hybrid Type 1 mixed-methods study to compare the effectiveness and implementation of StayWell for Latinx and Non-Latinx White (NLW) adults using the Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) framework. Effectiveness was measured using the PHQ-8 depression and GAD-7 anxiety scales, assessed before starting and after completing StayWell. Guided by RE-AIM, we conducted a thematic text analysis of responses to an open-ended question about user experiences to help contextualize quantitative findings. Approximately 65.8% (n = 262) of StayWell users completed pre-and-post surveys. On average, depressive (-1.48, p = 0.001) and anxiety (-1.38, p = 0.001) symptoms decreased from pre-to-post StayWell. Compared to NLW users (n = 192), Latinx users (n = 70) reported an additional -1.45 point (p < 0.05) decline in depressive symptoms, adjusting for demographics. Although Latinxs reported StayWell as relatively less useable (76.8 vs. 83.9, p = 0.001) than NLWs, they were more interested in continuing the program (7.5 vs. 6.2 out of 10, p = 0.001) and recommending it to a family member/friend (7.8 vs. 7.0 out of 10, p = 0.01). Based on the thematic analysis, both Latinx and NLW users enjoyed responding to mood inquiries and sought bi-directional, personalized text messages and texts with links to more information to resources. Only NLW users stated that StayWell provided no new information than they already knew from therapy or other sources. In contrast, Latinx users suggested that engagement with a behavioral provider through text or support groups would be beneficial, highlighting this group's unmet need for behavioral health care. mHealth interventions like StayWell are well-positioned to address population-level disparities by serving those with the greatest unmet needs if they are culturally adapted and actively disseminated to marginalized groups. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT04473599.

Multilevel influences on patient engagement and chronic care management

OBJECTIVES

Physician practices are increasingly owned by health systems, which may support or hinder adoption of innovative care processes for adults with chronic conditions. We examined health system- and physician practice-level capabilities associated with adoption of (1) patient engagement strategies and (2) chronic care management processes for adult patients with diabetes and/or cardiovascular disease.

STUDY DESIGN

We analyzed data collected from the National Survey of Healthcare Organizations and Systems, a nationally representative survey of physician practices (n = 796) and health systems (n = 247) (2017-2018).

METHODS

Multivariable multilevel linear regression models estimated system- and practice-level characteristics associated with practice adoption of patient engagement strategies and chronic care management processes.

RESULTS

Health systems with processes to assess clinical evidence (β = 6.54 points on a 0-100 scale; P = .004) and with more advanced health information technology (HIT) functionality (β = 2.77 points per SD increase on a 0-100 scale; P = .03) adopted more practice-level chronic care management processes, but not patient engagement strategies, compared with systems lacking these capabilities. Physician practices with cultures oriented to innovation, more advanced HIT functionality, and with a process to assess clinical evidence adopted more patient engagement strategies and chronic care management processes.

CONCLUSIONS

Health systems may be better able to support the adoption of practice-level chronic care management processes, which have a strong evidence base for implementation, compared with patient engagement strategies, which have less evidence to guide effective implementation. Health systems have an opportunity to advance patient-centered care by expanding practice-level HIT functionality and developing processes to appraise clinical evidence for practices.

Impact of a selective narrow network with comprehensive patient navigation on access, utilization, expenditures, and enrollee experiences

OBJECTIVE

To examine the effect of enrollee switching from a broad-network accountable care organization (ACO) health maintenance organization (HMO) to a "high performance" ACO-HMO with a selective narrow network and comprehensive patient navigation system on access, utilization, expenditures, and enrollee experiences.

DATA SOURCES

Secondary administrative data were obtained for 2016-2020, and primary interview and survey data in 2021.

STUDY DESIGN

Fixed-effects instrumental variable analyses of administrative data and regression analyses of survey data. Outcomes included access, utilization, expenditures, and enrollee experience. Background information was gathered via interviews.

DATA COLLECTION/EXTRACTION METHODS

We obtained medical expenditure/enrollment and access data on continuously enrolled members in a broad-network ACO-HMO (n = 24,555), a subset of those who switched to a high-performance ACO-HMO in 2018 (n = 7664); interviews of organizational leaders (n = 13); and an enrollee survey (n = 512).

PRINCIPAL FINDINGS

Health care effectiveness data and information Set (HEDIS) access measures were not different across plans. However, annual utilization dropped by 15.5 percentage points (95% CI: 18.1, 12.9) more in the high-performance ACO-HMO, with relative annual expenditures declining by $1251 (95% CI: $1461, $1042) per person per year. High-performance ACO-HMO enrollees were 10.1 percentage points (95% CI 0.001, 0.201) more likely to access primary care usually or always as soon as needed and 11.2 percentage points (95% CI 0.007, 0.217) more likely to access specialty care usually or always as soon as needed. Plan satisfaction was 7.1 percentage points (95% CI: -0.001, 0.138) higher in the high-performance ACO-HMO. Interviewees noted the comprehensive patient navigation system was designed to ensure patients remained in the narrow network to receive care.

CONCLUSIONS

ACO and HMO contracts with selective narrow networks supported by comprehensive patient navigation can reduce expenditures and improve specialty access and patient satisfaction compared to broad-network plans that lack these features. Payers should consider implementing narrow networks with comprehensive support systems.

Telehealth Use, Care Continuity, and Quality: Diabetes and Hypertension Care in Community Health Centers Before and During the COVID-19 Pandemic

BACKGROUND

Community health centers (CHCs) pivoted to using telehealth to deliver chronic care during the coronavirus COVID-19 pandemic. While care continuity can improve care quality and patients' experiences, it is unclear whether telehealth supported this relationship.

OBJECTIVE

We examine the association of care continuity with diabetes and hypertension care quality in CHCs before and during COVID-19 and the mediating effect of telehealth.

RESEARCH DESIGN

This was a cohort study.

PARTICIPANTS

Electronic health record data from 166 CHCs with n=20,792 patients with diabetes and/or hypertension with ≥2 encounters/year during 2019 and 2020.

METHODS

Multivariable logistic regression models estimated the association of care continuity (Modified Modified Continuity Index; MMCI) with telehealth use and care processes. Generalized linear regression models estimated the association of MMCI and intermediate outcomes. Formal mediation analyses assessed whether telehealth mediated the association of MMCI with A1c testing during 2020.

RESULTS

MMCI [2019: odds ratio (OR)=1.98, marginal effect=0.69, z=165.50, P<0.001; 2020: OR=1.50, marginal effect=0.63, z=147.73, P<0.001] and telehealth use (2019: OR=1.50, marginal effect=0.85, z=122.87, P<0.001; 2020: OR=10.00, marginal effect=0.90, z=155.57, P<0.001) were associated with higher odds of A1c testing. MMCI was associated with lower systolic (β=-2.90, P<0.001) and diastolic blood pressure (β=-1.44, P<0.001) in 2020, and lower A1c values (2019: β=-0.57, P=0.007; 2020: β=-0.45, P=0.008) in both years. In 2020, telehealth use mediated 38.7% of the relationship between MMCI and A1c testing.

CONCLUSIONS

Higher care continuity is associated with telehealth use and A1c testing, and lower A1c and blood pressure. Telehealth use mediates the association of care continuity and A1c testing. Care continuity may facilitate telehealth use and resilient performance on process measures.

Assessing the Impact of Telemedicine Implementation in Diverse Health Care Systems

Health care organizations and systems can have a large impact on how extensively telemedicine and virtual visits are used by medical practices and individual clinicians. This supplemental issue of medical care aims to advance evidence about how health care organizations and systems can best support telemedicine and virtual visit implementation. This issue includes 10 empirical studies examining the impact of telemedicine on quality of care, utilization, and/or patient care experiences, of which 6 are studies of Kaiser Permanente patients; 3 are studies of Medicaid, Medicare, and community health center patients; and 1 is a study of PCORnet primary care practices. The Kaiser Permanente studies find that ancillary service orders resulting from telemedicine encounters were not placed as often as in-person encounters for urinary tract infections, neck, and back pain, but there were no significant changes in patient fulfillment of ordered antidepressant medications. Studies focused on diabetes care quality among community health center patients and Medicare and Medicaid beneficiaries highlight that telemedicine helped maintain continuity of primary care and diabetes care quality during the COVID-19 pandemic. The research findings collectively demonstrate high variation in telemedicine implementation across systems and the important role that telemedicine had in maintaining the quality of care and utilization for adults with chronic conditions when in-person care was less accessible.

Health systems and telemedicine adoption for diabetes and hypertension care

OBJECTIVES

The COVID-19 pandemic accelerated telemedicine use nationally, but differences across health systems are understudied. We examine telemedicine use for adults with diabetes and/or hypertension across 10 health systems and analyze practice and patient characteristics associated with greater use.

STUDY DESIGN

Encounter-level data from the AMGA Optum Data Warehouse for March 13, 2020, to December 31, 2020, were analyzed, which included 3,016,761 clinical encounters from 764,521 adults with diabetes and/or hypertension attributed to 1 of 1207 practice sites with at least 50 system-attributed patients.

METHODS

Linear spline regression estimated whether practice size and ownership were associated with telemedicine during the adoption (weeks 0-4), de-adoption (weeks 5-12), and maintenance (weeks 13-42) periods, controlling for patient socioeconomic and clinical characteristics.

RESULTS

Telemedicine use peaked at 11% to 42% of weekly encounters after 4 weeks. In adjusted analyses, small practices had lower telemedicine use for adults with diabetes during the maintenance period compared with larger practices. Practice ownership was not associated with telemedicine use. Practices with higher proportions of Black patients continued to expand telemedicine use during the de-adoption and maintenance periods.

CONCLUSIONS

Practice ownership was not associated with telemedicine use during first months of the pandemic. Small practices de-adopted telemedicine to a greater degree than medium and large practices. Technical support for small practices, irrespective of their ownership, could enable telemedicine use for adults with diabetes and/or hypertension.

Telemedicine implementation and use in community health centers during COVID-19: Clinic personnel and patient perspectives

In March 2020, federal and state telehealth policy changes catalyzed telemedicine adoption and use in community health centers. There is a dearth of evidence on telemedicine implementation and use in these safety net settings and a lack of information reflecting the perspectives of patients with limited English proficiency. We conducted in-depth interviews with clinic personnel and patients during the pandemic in two federally qualified health centers that primarily serve Chinese and Latino immigrants. Twenty-four interviews (clinic personnel ​= ​15; patients who primarily speak a language other than English ​= ​9) were completed remotely between December 2020 and April 2021. Interview scripts included questions about their telemedicine experiences, technology, resources and needs, barriers, facilitators, language access, and continued use, with a brief socio-demographic survey. Data analyses involved a primarily deductive approach and thematic analysis of transcript content. Both FQHCs adopted telemedicine in a few weeks and transitioned primarily to video and audio-only visits within two months. Findings reveal third-party language interpretation services were challenging to integrate into telemedicine video visits. Bilingual personnel who provided language concordant care were seen as essential for efficient and high-quality patient telemedicine experiences. Audio-only visits were of particular benefit to reach patients of older age, with limited English proficiency, and with limited digital literacy. Continued use of telemedicine is contingent on reimbursement policy decisions and interventions to increase patient digital literacy and technological resources. Results highlight the importance of reimbursing audio-only visits post-pandemic and investing in efforts to improve the quality of language services in telemedicine encounters.

Adoption of Patient-Reported Outcomes by Health Systems and Physician Practices in the USA

BACKGROUND

Patient-reported outcome measures (PROs) can help clinicians adjust treatments and deliver patient-centered care, but organizational adoption of PROs remains low.

OBJECTIVE

This study examines the extent of PRO adoption among health systems and physician practices nationally and examines the organizational capabilities associated with more extensive PRO adoption.

DESIGN

Two nationally representative surveys were analyzed in parallel to assess health system and physician practice capabilities associated with adoption of PROs of disability, pain, and depression.

PARTICIPANTS

A total of 323 US health system and 2,190 physician practice respondents METHODS: Multivariable regression models separately estimated the association of health system and physician practice capabilities associated with system-level and practice-level adoption of PROs.

MAIN MEASURES

Health system and physician practice adoption of PROs for depression, pain, and disability.

KEY RESULTS

Pain (50.6%) and depression (43.8%) PROs were more commonly adopted by all hospitals and medical groups within health systems compared to disability PROs (26.5%). In adjusted analyses, systems with more advanced health IT functions were more likely to use disability (p<0.05) and depression (p<0.01) PROs than systems with less advanced health IT. Practice-level advanced health IT was positively associated with use of depression PRO (p<0.05), but not disability or pain PRO use. Practices with more chronic care management processes, broader medical and social risk screening, and more processes to support patient responsiveness were more likely to adopt each of the three PROs. Compared to independent physician practices, system-owned practices and community health centers were less likely to adopt PROs.

CONCLUSIONS

Chronic care management programs, routine screening, and patient-centered care initiatives can enable PRO adoption at the practice level. Developing these practice-level capabilities may improve PRO adoption more than solely expanding health IT functions.

Effect of State-Led Delivery System and Payment Reforms on Population-Level Detection and Management of Diabetes

OBJECTIVE

The Centers for Medicare and Medicaid Services State Innovation Models (SIM) initiative has invested more than $1 billion to test state-led delivery system and payment reforms that can affect diabetes care management. We examined whether SIM implementation between 2013 and 2017 was associated with diagnosed diabetes prevalence or with hospitalization or 30-day readmission rate among diagnosed adults.

RESEARCH DESIGN AND METHODS

The quasiexperimental design compared study outcomes before and after the SIM initiative in 12 SIM states versus five comparison states using difference-in-differences (DiD) regression models of 21,055,714 hospitalizations for adults age ≥18 years diagnosed with diabetes in 889 counties from 2010 to 2017 across the 17 states. For readmission analyses, comparative interrupted time series (CITS) models included 11,812,993 hospitalizations from a subset of nine states.

RESULTS

Diagnosed diabetes prevalence changes were not significantly different between SIM states and comparison states. Hospitalization rates were inconsistent across models, with DiD estimates ranging from -5.34 to -0.37 and from -13.16 to 0.92, respectively. CITS results indicate that SIM states had greater increases in odds of 30-day readmission during SIM implementation compared with comparison states (round 1: adjusted odds ratio [AOR] 1.07; 95% CI 1.04, 1.11; P < 0.001; round 2: AOR 1.06; 95% CI 1.03, 1.10; P = 0.001).

CONCLUSIONS

The SIM initiative was not sufficiently focused to have a population-level effect on diabetes detection or management. SIM states had greater increases in 30-day readmission for adults with diabetes than comparison states, highlighting potential unintended effects of engaging in the multipayer alignment efforts required of state-led delivery system and payment reforms.

Pathways for primary care practice adoption of patient engagement strategies

OBJECTIVE

To identify potential orderings of primary care practice adoption of patient engagement strategies overall and separately for interpersonally and technologically oriented strategies.

DATA SOURCES

We analyzed physician practice survey data (n = 71) on the adoption of 12 patient engagement strategies.

STUDY DESIGN

Mokken scale analysis was used to assess latent traits among the patient engagement strategies.

DATA COLLECTION

Three groupings of patient engagement strategies were analyzed: (1) all 12 patient engagement strategies, (2) six interpersonally oriented strategies, and (3) six technologically oriented strategies.

PRINCIPAL FINDINGS

We did not find scalability among all 12 patient engagement strategies, however, separately analyzing the subgroups of six interpersonally and six technologically oriented strategies demonstrated scalability (Loevinger's H coefficient of scalability [range]: interpersonal strategies, H = 0.54 [0.49-0.60], technological strategies, H = 0.42 [0.31, 0.54]). Ordered patterns emerged in the adoption of strategies for both interpersonal and technological types.

CONCLUSIONS

Common pathways of practice adoption of patient engagement strategies were identified. Implementing interpersonally intensive patient engagement strategies may require different physician practice capabilities than technological strategies. Rather than simultaneously adopting multiple patient engagement strategies, gradual and purposeful practice adoption may improve the impact of these strategies and support sustainability.

Mammography and Decision Aid Use for Breast Cancer Screening in Older Women

INTRODUCTION

Decision aids for breast cancer screening are increasingly being used by physicians, but the association between physician practice decision-aid use and mammography rates remains uncertain. Using national data, this study examines the association between practice-level decision-aid use and mammography use among older women.

METHODS

Physician practice responses to the 2017/2018 National Survey of Healthcare Organizations and Systems (n=1,236) were linked to 2016 and 2017 Medicare fee-for-service beneficiary data from eligible beneficiaries (n=439,684) aged 65-74 years. In 2021, multivariable generalized linear models estimated the association of practice decision-aid use for breast cancer screening and advanced health information technology functions with mammography use, controlling for practice and beneficiary characteristics.

RESULTS

Overall, 60.1% of eligible beneficiaries had a screening mammogram, and 37.3% of physician practices routinely used decision aids for breast cancer screening. In adjusted analyses, advanced health information technology functions (OR=1.19, p=0.04) were associated with mammography use, but practice use of decision aids was not (OR=0.95, p=0.21). Beneficiary clinical and socioeconomic characteristics, including race, comorbidities, Medicare and Medicaid eligibility, and median household income were more strongly associated with mammography use than practice-level decision-aid use or advanced health information technology functions.

CONCLUSIONS

Health information technology‒enabled automation of mammography reminders and other advanced health information technology functions may support mammography, whereas breast cancer decision aids may reduce patients' propensities to be screened through the alignment of their preferences and screening decision. More resources may be needed for decision aids to be routinely implemented to improve solicitation of patient preferences and targeting of mammography services.

Adoption of Patient Engagement Strategies by Physician Practices in the United States

BACKGROUND

Patient engagement strategies can equip patients with tools to navigate treatment decisions and improve patient-centered outcomes. Despite increased recognition about the importance of patient engagement, little is known about the extent of physician practice adoption of patient engagement strategies nationally.

METHODS

We analyzed data collected from the National Survey of Healthcare Organizations and Systems (NSHOS) on physician practice adoption of patient engagement strategies. Stratified-cluster sampling was used to select physician practices operating under different organizational structures. Multivariable linear regression models estimated the association of practice ownership, health information technology functionality, use of screening activities, patient responsiveness, chronic care management processes, and the adoption of patient engagement strategies, including shared decision-making, motivational interviewing, and shared medical appointments. All regression models controlled for participation in payment reforms, practice size, Medicaid revenue percentage, and geographic region.

RESULTS

We found modest and varied adoption of patient engagement strategies by practices of different ownership types, with health system-owned practices having the lowest adoption of ownership types. Practice capabilities, including chronic care management processes, routine screening of medical and social risks, and patient care dissemination strategies were associated with greater practice-level adoption of patient engagement strategies.

CONCLUSIONS

This national study is the first to characterize the adoption of patient engagement strategies by US physician practices. We found modest adoption of shared decision-making and motivational interviewing, and low adoption of shared medical appointments. Risk-based payment reform has the potential to motivate greater practice-level patient engagement, but the extent to which it occurs may depend on internal practice capabilities.

The Reliability of Graduate Medical Education Quality of Care Clinical Performance Measures

BACKGROUND

Graduate medical education (GME) program leaders struggle to incorporate quality measures in the ambulatory care setting, leading to knowledge gaps on how to provide feedback to residents and programs. While nationally collected quality of care data are available, their reliability for individual resident learning and for GME program improvement is understudied.

OBJECTIVE

To examine the reliability of the Healthcare Effectiveness Data and Information Set (HEDIS) clinical performance measures in family medicine and internal medicine GME programs and to determine whether HEDIS measures can inform residents and their programs with their quality of care.

METHODS

From 2014 to 2017, we collected HEDIS measures from 566 residents in 8 family medicine and internal medicine programs under one sponsoring institution. Intraclass correlation was performed to establish patient sample sizes required for 0.70 and 0.80 reliability levels at the resident and program levels. Differences between the patient sample sizes required for reliable measurement and the actual patients cared for by residents were calculated.

RESULTS

The highest reliability levels for residents (0.88) and programs (0.98) were found for the most frequently available HEDIS measure, colorectal cancer screening. At the GME program level, 87.5% of HEDIS measures had sufficient sample sizes for reliable measurement at alpha 0.7 and 75.0% at alpha 0.8. Most resident level measurements were found to be less reliable.

CONCLUSIONS

GME programs may reliably evaluate HEDIS performance pooled at the program level, but less so at the resident level due to patient volume.

Hospital Adoption of Electronic Decision Support Tools for Preeclampsia Management

BACKGROUND

Electronic health record (EHR)-based clinical decision support tools can improve the use of evidence-based clinical guidelines for preeclampsia management that can reduce maternal mortality and morbidity. No study has investigated the organizational capabilities that enable hospitals to use EHR-based decision support tools to manage preeclampsia.

OBJECTIVE

To examine the association of organizational capabilities and hospital adoption of EHR-based decision support tools for preeclampsia management.

METHODS

Cross-sectional analyses of hospitals providing obstetric care in 2017. In total, 739 hospitals responded to the 2017-2018 National Survey of Healthcare Organizations and Systems (NSHOS) and were linked to the 2017 American Hospital Association (AHA) Annual Survey Database and the Area Health Resources File (AHRF). A total of 425 hospitals providing obstetric care across 49 states were included in the analysis. The main outcome was whether a hospital adopted EHR-based clinical decision support tools for preeclampsia management. Hospital organizational capabilities assessed as predictors include EHR functions, adoption of evidence-based clinical treatments, use of quality improvement methods, and dissemination processes to share best patient care practices. Logistic regression estimated the association of hospital organizational capabilities and hospital adoption of EHR-based decision support tools to manage preeclampsia, controlling for hospital structural and patient sociodemographic characteristics.

RESULTS

Two-thirds of the hospitals (68%) adopted EHR-based decision support tools for preeclampsia, and slightly more than half (56%) of hospitals had a single EHR system. Multivariable regression results indicate that hospitals with a single EHR system were more likely to adopt EHR-based decision support tools for preeclampsia (17.4 percentage points; 95% CI, 1.9 to 33.0; P < .05) than hospitals with a mixture of EHR and paper-based systems. Compared with hospitals having multiple EHRs, on average, hospitals having a single EHR were also more likely to adopt the tools by 9.3 percentage points, but the difference was not statistically significant (95% CI, -1.3 to 19.9). Hospitals with more processes to aid dissemination of best patient care practices were also more likely to adopt EHR-based decision-support tools for preeclampsia (0.4 percentage points; 95% CI, 0.1 to 0.6, for every 1-unit increase in dissemination processes; P < .01).

CONCLUSION

Standardized EHRs and policies to disseminate evidence are foundational hospital capabilities that can help advance the use of EHR-based decision support tools for preeclampsia management in the approximately one-third of US hospitals that still do not use them.

Physician Practices With Robust Capabilities Spend Less On Medicare Beneficiaries Than More Limited Practices

No research has considered a range of physician practice capabilities for managing patient care when examining practice-level influences on quality of care, utilization, and spending. Using data from the 2017 National Survey of Healthcare Organizations and Systems linked to 2017 Medicare fee-for-service claims data from attributed beneficiaries, we examined the association of practice-level capabilities with process measures of quality, utilization, and spending. In propensity score-weighted mixed-effects regression analyses, physician practice locations with "robust" capabilities had lower total spending compared to locations with "mixed" or "limited" capabilities. Quality and utilization, however, did not differ by practice-level capabilities. Physician practice locations with robust capabilities spend less on Medicare fee-for-service beneficiaries but deliver quality of care that is comparable to the quality delivered in locations with low or mixed capabilities. Reforms beyond those targeting practice capabilities, including multipayer alignment and payment reform, may be needed to support larger performance advantages for practices with robust capabilities.

Survey of Information Exchange and Advanced Use of Other Health Information Technology in Primary Care Settings: Capabilities In and Outside of the Safety Net

BACKGROUND

Advanced use of health information technology (IT) functionalities can support more comprehensive, coordinated, and patient-centered primary care services. Safety net practices may benefit disproportionately from these investments, but it is unclear whether IT use in these settings has kept pace and what organizational factors are associated with varying use of these features.

OBJECTIVE

The aim was to estimate advanced use of health IT use in safety net versus nonsafety net primary care practices. We explore domains of patient engagement, population health management (decision support and registries), and electronic information exchange. We examine organizational characteristics that may differentially predict advanced use of IT across these settings, with a focus on health system ownership and/or membership in an independent practice network as key factors that may indicate available incentives and resources to support these efforts.

RESEARCH DESIGN

We conduct cross-sectional analysis of a national survey of physician practices (n=1776). We use logistic regression to predict advanced IT use in each of our domains based on safety net status and other organizational characteristics. We then use interaction models to assess whether ownership or network membership moderate the relationship between safety net status and advanced use of health IT.

RESULTS

Health IT use was common across primary care practices, but advanced use of health IT functionalities ranged only from 30% to 50% use. Safety net settings have kept pace with adoption of features for patient engagement and population management, yet lag in information exchange capabilities compared with nonsafety net practices (odds ratio=0.52 for federally qualified health centers, P<0.001; odds ratio=0.66 for other safety net, P=0.03). However, when safety net practices are members of a health system or practice network, health IT capabilities are comparable to nonsafety net sites.

CONCLUSIONS

All outpatient settings would benefit from improved electronic health record usability and implementation support that facilitates advanced use of health IT. Safety net practices, particularly those without other sources of centralized support, need targeted resources to maintain equitable access to information exchange capabilities.

Comparing health care system and physician practice influences on social risk screening

BACKGROUND

Health care systems can support dissemination of innovations, such as social risk screening in physician practices, but to date, no studies have examined the association of health system characteristics and practice-level adoption of social risk screening.

PURPOSE

The aim of the study was to examine the association of multilevel organizational capabilities and adoption of social risk screening among system-owned physician practices.

METHODOLOGY

Secondary analyses of the 2018 National Survey of Healthcare Organizations and Systems were conducted. Multilevel linear regression models examined physician practice and system characteristics associated with practice adoption of screening for five social risks (food insecurity, housing instability, utility needs, interpersonal violence, and transportation needs), accounting for clustering of practices within systems using random effects.

RESULTS

System-owned practices screened for an average of 1.7 of the five social risks assessed. The intraclass correlation indicated 16% of practice variation in social risk screening was attributable to differences between their health systems owners, with 84% attributable to differences between individual practices. Practices owned by systems with multiple hospitals screened for an additional 0.44 social risks (p = .046) relative to practices of systems without hospitals. Practice characteristics associated with social risk screening included health information technology capacity (β = 0.20, p = .005), innovation culture (β = 0.26, p < .001), and patient engagement strategies (β = 0.57, p < .001).

CONCLUSIONS

Health care system capabilities account for less variation in physician practice adoption of social risk screening compared to practice-level capabilities.

PRACTICE IMPLICATIONS

Efforts to expand social risk screening among system-owned physician practices should focus on supporting practice capabilities, including enhancing health information technology, promoting an innovative organizational culture, and advancing patient engagement strategies.

Cigarettes smoked among daily and non-daily smokers following CVS Health's tobacco-free pharmacy policy

INTRODUCTION

In September 2014, CVS Health ceased tobacco sales in all of its 7700 pharmacies nationwide. We investigate the impact of the CVS policy on the number of cigarettes smoked per day among metropolitan daily and non-daily smokers, who may respond to the availability of smoking cues in different manners.

METHODS

Data are from the US Census Bureau Tobacco Use Supplement to the Current Population Survey 2014-2015 and the Blue Cross and Blue Shield Institute Community Health Management Hub. Adjusted difference-in-difference (DID) regressions assess changes in the number of cigarettes smoked per day among daily smokers (n=10 759) and non-daily smokers (n=3055), modelling core-based statistical area (CBSA) level CVS pharmacy market share continuously. To assess whether the policy had non-linear effects across the distribution of CVS market share, we also examine market share using tertiles.

RESULTS

CVS's tobacco-free pharmacy policy was associated with a significant reduction in the number of cigarettes smoked by non-daily smokers in the continuous DID (rate ratio=0.985, p=0.022), with a larger reduction observed among non-daily smokers in CBSAs in the highest third of CVS market share compared with those living in CBSAs with no CVS presence (rate ratio=0.706, p=0.027). The policy, however, was not significantly associated with differential changes in the number of cigarettes by daily smokers.

CONCLUSION

The removal of tobacco products from CVS pharmacies was associated with a reduction in the number of cigarettes smoked per day among non-daily smokers in metropolitan CBSAs, particularly those in which CVS had a large pharmacy market share.

Association of patient engagement strategies with utilisation and spending for musculoskeletal problems in the USA: a cross-sectional analysis of Medicare patients and physician practices

OBJECTIVE

Musculoskeletal problems like hip and knee osteoarthritis and low-back pain are preference sensitive conditions. Patient engagement strategies (PES), such as shared decision-making and motivational interviewing, can help align patients' preferences with treatment options and potentially reduce spending. We assess the association of physician practice-level adoption of PES with utilisation and spending.

DESIGN

Cross-sectional study in which patients were matched across low, moderate and high levels of PES via coarsened exact matching.

SETTING

Primary and secondary care in 2190 physician practices.

PARTICIPANTS

39 336 hip, 48 362 knee and 67 940 low-back patients who were Medicare beneficiaries were matched to the 2017-2018 National Survey of Healthcare Organizations and Systems.

PRIMARY AND SECONDARY OUTCOME MEASURES

Total hip replacement (THR), total knee replacement (TKR), 1-2 level posterior lumbar fusion (LF), total annual spending, components of total annual spending.

RESULTS

Total annual spending for patients with musculoskeletal problems did not differ for practices with low versus moderate PES, low versus high PES or moderate versus high PES, but spending was significantly lower in some categories for practices with relatively higher PES adoption. For hospital-owned and health system-owned practices, the ORs of receiving LF were 0.632 (95% CI 0.396 to 1.009) for patients attributed to practices with high PES compared with patients attributed to practices with moderate PES. For independent practices, the odds of receiving THR were 1.403 (95% CI 1.035 to 1.902) for patients attributed to practices with moderate PES compared with patients attributed to practices with low PES.

CONCLUSIONS

Practice-level adoption of PES for patients with musculoskeletal problems was generally not associated with total spending. PES, however, may steer patients toward evidence-based treatments. Opportunities for overall spending reduction exist as indicated by the variation in the subcomponents of total spending by PES adoption.

FQHC Designation and Safety Net Patient Revenue Associated with Primary Care Practice Capabilities for Access and Quality

BACKGROUND

Concerns exist about the ability of safety net health care organizations to participate in US health care reform. Primary care practices are key to several efforts, but little is known about how capabilities of primary care practices serving a high share of disadvantaged patients compare to other practices.

OBJECTIVE

To assess capabilities around access to and quality of care among primary care practices serving a high share of Medicaid and uninsured patients compared to practices serving a low share of these patients.

DESIGN

We analyzed data from the National Survey of Healthcare Organizations and Systems (response rate 46.8%), conducted 2017-2018.

PARTICIPANTS

A total of 2190 medical practices with at least three adult primary care physicians.

MAIN MEASURES

Our key exposures are payer mix and federally qualified health center (FQHC) designation. We classified practices as safety net if they reported a combined total of at least 25% of annual revenue from uninsured or Medicaid patients; we then further classified safety net practices into those that identified as an FQHC and those that did not.

KEY RESULTS

FQHCs were more likely than other safety net practices and non-safety net practices to offer early or late appointments (79%, 55%, 62%; p=0.001) and weekend appointments (56%, 39%, 42%; p=0.03). FQHCs more often provided medication-assisted treatment for opioid use disorders (43%, 27%, 25%; p=0.004) and behavioral health services (82%, 50%, 36%; p<0.001). FQHCs were more likely to screen patients for social and financial needs. However, FQHCs and other safety net providers had more limited electronic health record (EHR) capabilities (61%, 71%, 80%; p<0.001).

CONCLUSION

FQHCs were more likely than other types of primary care practices (both safety net practices and other practices) to possess capabilities related to access and quality. However, safety net practices were less likely than non-safety net practices to possess health information technology capabilities.

Patient and clinician factors associated with uptake of the human papillomavirus (HPV) vaccine among adolescent patients of a primary care network

BACKGROUND

Human papillomavirus (HPV) vaccination rates for adolescents remain relatively low. The purpose of this study is to examine patient and clinician factors associated with HPV vaccination among patients, ages 11-17, of a large community-based primary care network.

METHODS

Electronic health records and administrative data from a large primary care network from January 2017 - June 2018 for patients ages 11-17 (n = 10,682) and the 198 primary care clinicians that saw them were analyzed. Mixed effects logistic regression models examined the association of patient and clinician factors with HPV vaccine uptake.

RESULTS

Most patients (63.0%) had at least one dose of the HPV vaccine, and 37.7% were up to date. In adjusted analyses, patients who received the tetanus, diphtheria, and pertussis (Tdap) vaccine (OR = 2.8, 95% CI: 2.1-3.9) compared to those who did not receive the vaccine and patients with five or more medical visits (OR = 1.9, 95% CI: 1.6-2.2) had the greatest odds of being up to date with the HPV vaccine series. Compared to White patients, African American/Black (OR = 0.8, 95% CI: 0.6 - 1.0) and Alaskan Native/American Indian (OR = 0.5, 95% CI: 0.3-0.9) patients were less likely to be up to date. Boys were also less likely to be up to date with the HPV vaccine series compared to girls (OR = 0.7, 95% CI: 0.7-0.8). Additionally, patients with family/general practice primary care clinicians were less likely to have their patients up to date than those with pediatricians (OR = 0.8, 95% CI: 0.6 - 1.0).

CONCLUSION

HPV vaccine uptake varied by patient characteristics, heath care utilization and primary care clinician specialty. These findings may inform future evidence-based interventions aimed at increasing HPV vaccine uptake among adolescents by targeting patient sub-groups and reducing missed opportunities for vaccination.

Upstream With A Small Paddle: How ACOs Are Working Against The Current To Meet Patients' Social Needs

Despite interest in addressing social determinants of health to improve patient outcomes, little progress has been made in integrating social services with medical care. We aimed to understand how health care providers with strong motivation (for example, operating under new payment models) and commitment (for example, early adopters) fared at addressing patients' social needs. We collected qualitative data from twenty-two accountable care organizations (ACOs). These ACOs were early adopters and were working on initiatives to address social needs, including such common needs as transportation, housing, and food. However, even these ACOs faced significant difficulties in integrating social services with medical care. First, the ACOs were frequently "flying blind," lacking data on both their patients' social needs and the capabilities of potential community partners. Additionally, partnerships between ACOs and community-based organizations were critical but were only in the early stages of development. Innovation was constrained by ACOs' difficulties in determining how best to approach return on investment, given shorter funding cycles and longer time horizons to see returns on social determinants investments. Policies that could facilitate the integration of social determinants include providing sustainable funding, implementing local and regional networking initiatives to facilitate partnership development, and developing standardized data on community-based organizations' services and quality to aid providers that seek partners.

Washington's liquor license system and alcohol-related adverse health outcomes

BACKGROUND AND AIMS

In June 2012, Washington state (USA) implemented Initiative 1183, privatizing liquor sales. As a result, off-premises outlets increased from 330 to over 1400 and trading hours lengthened. Increased availability of liquor may lead to increased consumption. This study examines the impact of Initiative 1183 on alcohol-related adverse health outcomes, measured by inpatient hospitalizations for alcohol-related disorders and accidental injuries. It further assesses heterogeneity by urbanicity, because outlets increased most in metropolitan-urban areas.

DESIGN

County-by-quarter difference-in-difference linear regression models, estimated statewide and within metropolitan/rural strata.

SETTING AND PARTICIPANTS

Data are from AHRQ Healthcare Cost and Utilization State Inpatient Database 2010-2014 and HHS Area Health Resource File 2010-2014. Changes in the rates of hospitalizations in the 2.5 years following Initiative 1183 in Washington (n = 39 counties) are compared with changes in Oregon (n = 36 counties).

MEASUREMENTS

County rates of hospitalizations per 1000 residents, including all records with any-listed ICD-9 Clinical Classification Software code denoting an alcohol-related disorder, and all records with any-listed external cause of injury code denoting an accidental injury.

FINDINGS

The increase in the rate of accidental injury hospitalizations in Washington's metropolitan-urban counties was on average 0.289 hospitalizations per 1000 county residents per quarter greater than the simultaneous increase observed in Oregon (P = 0.017). This result was robust to alternative specifications using a propensity score matched sample and synthetic control methods with data from other comparison states. The evidence did not suggest that Initiative 1183 was associated with differential changes in the rate of hospitalizations for alcohol-related disorders in metropolitan-urban (P = 0.941), non-metropolitan-urban (P = 0.162), or rural counties (P = 0.876).

CONCLUSIONS

Implementing Washington's Initiative 1183 (privatizing liquor sales) appears to have been associated with a significant increase in the rate of accidental injury hospitalizations in urban counties in that state but does not appear to be significantly associated with changes in the rate of hospitalizations specifically for alcohol-related disorders within 2.5 years.

Factors Associated With Family Medicine and Internal Medicine First-Year Residents' Ambulatory Care Training Time

PURPOSE

Despite the importance of training in ambulatory care settings for residents to acquire important competencies, little is known about the organizational and environmental factors influencing the relative amount of time primary care residents train in ambulatory care during residency. The authors examined factors associated with postgraduate year 1 (PGY-1) residents' ambulatory care training time in Accreditation Council for Graduate Medical Education (ACGME)-accredited primary care programs.

METHOD

U.S.-accredited family medicine (FM) and internal medicine (IM) programs' 2016-2017 National Graduate Medical Education (GME) Census data from 895 programs within 550 sponsoring institutions (representing 13,077 PGY-1s) were linked to the 2016 Centers for Medicare and Medicaid Services Cost Reports and 2015-2016 Area Health Resource File. Multilevel regression models examined the association of GME program characteristics, sponsoring institution characteristics, geography, and environmental factors with PGY-1 residents' percentage of time spent in ambulatory care.

RESULTS

PGY-1 mean (standard deviation, SD) percent time spent in ambulatory care was 25.4% (SD, 0.4) for both FM and IM programs. In adjusted analyses (% increase [standard error, SE]), larger faculty size (0.03% [SE, 0.01], P < .001), sponsoring institution's receipt of Teaching Health Center (THC) funding (6.6% (SE, 2.7), P < .01), and accreditation warnings (4.8% [SE, 2.5], P < .05) were associated with a greater proportion of PGY-1 time spent in ambulatory care. Programs caring for higher proportions of Medicare beneficiaries spent relatively less time in ambulatory care (< 0.5% [SE, 0.2], P < .01).

CONCLUSIONS

Ambulatory care time for PGY-1s varies among ACGME-accredited primary care residency programs due to the complex context and factors primary care GME programs operate under. Larger ACGME-accredited FM and IM programs and those receiving federal THC GME funding had relatively more PGY-1 time spent in ambulatory care settings. These findings inform policies to increase resident exposure in ambulatory care, potentially improving learning, competency achievement, and primary care access.

Avoiding Medicaid: Characteristics Of Primary Care Practices With No Medicaid Revenue

Primary care access for Medicaid patients is an ongoing area of concern. Most studies of providers' participation in Medicaid have focused on factors associated with the Medicaid program, such as reimbursement rates. Few studies have examined the characteristics of primary care practices associated with Medicaid participation. We used a nationally representative survey of primary care practices to compare practices with no, low, and high Medicaid revenue. Seventeen percent of practices received no Medicaid revenue; 38 percent and 45 percent were categorized as receiving low and high Medicaid revenue, respectively. Practices with no Medicaid revenue were more often small, independent, and located in urban areas with higher household income. These practices also have lower population health capabilities.

The Centers for Medicaid and Medicare Services State Innovation Models Initiative and Social Risk Factors: Improved Diagnosis Among Hospitalized Adults With Diabetes

INTRODUCTION

Unaddressed social risks among hospitalized patients with chronic conditions contribute to costly complications and preventable hospitalizations. This study examines whether the Centers for Medicaid and Medicare Services State Innovation Models initiative, through payment and delivery system reforms, accelerates the diagnosis of social risk factors among hospitalized adults with diabetes.

METHODS

Encounter-level data were from the Agency for Healthcare Research and Quality Healthcare Cost and Utilization Project State Inpatient Databases (2010-2015, N=5,040,456). Difference-in-difference logistic regression estimated the extent to which hospitalized adults with diabetes in 4 State Innovation Models states (Arkansas, Massachusetts, Oregon, and Vermont) had increased odds of having a social risk factor diagnosed with an ICD-9 V code compared with hospitalized adults with diabetes in 4 comparison states (Arizona, Georgia, New Jersey, and New Mexico) 2 years after implementation. Data were analyzed between June and December 2019.

RESULTS

Adults with diabetes who were hospitalized in State Innovation Models states had a 30% greater increase in the odds of having a V code documented after implementation than adults with diabetes who were hospitalized in comparison states (AOR=1.29, 95% CI=1.07, 1.56). However, V code use remained infrequent, with only 2.05% of encounters, on average, having any V codes on record in State Innovation Models states after implementation.

CONCLUSIONS

The State Innovation Models initiative slightly but significantly improved the diagnosis of social risks among hospitalized adults with diabetes. State-led delivery system and payment reform may help support movement of hospitals toward better recognition and management of social determinants of health.

"There's Always Next Year": Primary Care Team and Parent Perspectives on the Human Papillomavirus Vaccine

Acceptance of the human papillomavirus (HPV) vaccination among parents and clinicians is high, but uptake remains low. Little is known about organizational and primary care team factors that influence the uptake of the HPV vaccine. Interviews with clinicians, clinic support staff, and parents of adolescent patients were conducted to better understand the interrelationships among the people and the organizational processes that influence HPV vaccine uptake at the point of care. Between July 2016 and February 2017, semi-structured interviews of 40 participants (18 clinicians, 12 clinic support staff, and 10 parents of adolescent patients) in a primary care network were conducted. Organizational structures and processes, such as electronic provider reminders, availability of "vaccination only" appointments, and knowledgeable primary care team members contributed to HPV vaccine uptake. Consistently high support of HPV vaccination was found among key informants; however, rather than refuse HPV vaccination, parents are opting to delay vaccination to a future visit. When parents express the desire to delay, clinicians and care team members described often recommending addressing HPV vaccination at a future visit, giving parents the impression that receiving the vaccine was not time-sensitive for their child. Discordance in HPV vaccination recommendations among providers and clinic support staff may contribute to delayed HPV vaccination. Strong, high-quality HPV vaccine recommendations are needed from all primary team members. Clinic interventions to accelerate HPV vaccine uptake may benefit from a team-based approach where every member of the primary care team is delivering the same consistent messaging about the importance of timely HPV vaccination.

Financial Integration's Impact On Care Delivery And Payment Reforms: A Survey Of Hospitals And Physician Practices

Health systems continue to grow in size. Financial integration-the ownership of hospitals or physician practices-often has anticompetitive effects that contribute to the higher prices for health care seen in the US. To determine whether the potential harms of financial integration are counterbalanced by improvements in quality, we surveyed nationally representative samples of hospitals (n = 739) and physician practices (n = 2,189), stratified according to whether they were independent or were owned by complex systems, simple systems, or medical groups. The surveys included nine scales measuring the level of adoption of diverse, quality-focused care delivery and payment reforms. Scores varied widely across hospitals and practices, but little of this variation was explained by ownership status. Quality scores favored financially integrated systems for four of nine hospital measures and one of nine practice measures, but in no case favored complex systems. Greater financial integration was generally not associated with better quality.

Racial and Ethnic Disparities in Diabetes Care Quality among Women of Reproductive Age in an Integrated Delivery System

BACKGROUND

Diabetes is increasingly prevalent among women of reproductive age, yet little is known about quality of diabetes care for this population at increased risk of diabetes complications and poor maternal and infant health outcomes. Previous studies have identified racial/ethnic disparities in diabetes care, but patterns among women of reproductive age have not been examined.

METHODS

This retrospective cohort study analyzed 2016 data from Kaiser Permanente Northern California, a large integrated delivery system. Outcomes were quality of diabetes care measures-glycemic testing, glycemic control, and medication adherence-among women ages 18 to 44 with type 1 or type 2 diabetes (N = 9,923). Poisson regression was used to estimate the association between patient race/ethnicity and each outcome, adjusting for other patient characteristics and health care use.

RESULTS

In this cohort, 83% of participants had type 2 diabetes; 31% and 36% of women with type 2 and type 1 diabetes, respectively, had poor glycemic control (hemoglobin A1c of ≥9%), and approximately one-third of women with type 2 diabetes exhibited nonadherence to diabetes medications. Compared with non-Hispanic White women with type 2 diabetes, non-Hispanic Black women (adjusted risk ratio, 1.2; 95% confidence interval, 1.1-1.3) and Hispanic women (adjusted risk ratio, 1.2; 95% confidence interval, 1.1-1.3) were more likely to have poor control. Findings among women with type 1 diabetes were similar.

CONCLUSIONS

Our findings indicate opportunities to decrease disparities and improve quality of diabetes care for reproductive-aged women. Elucidating the contributing factors to poor glycemic control and medication adherence in this population, particularly among Black, Hispanic, and Asian women, should be a high research and practice priority.

U.S. county "food swamp" severity and hospitalization rates among adults with diabetes: A nonlinear relationship

The relationship between food environments and diabetes morbidity is vastly understudied, despite the well-recognized linkage between dietary quality and diabetes complications. Further, literature demonstrates that attributes of places can have nonlinear relationships with health outcomes. This study examines the extent to which "food swamps" are associated with greater rates of hospitalizations for complications among adults with diabetes over time as well as the linearity of this relationship. We conduct a longitudinal county-level analysis of 832 counties across 16 U.S. states in 2010, 2012, and 2014 using data from the USDA Food Environment Atlas and the AHRQ Health Care Cost and Utilization Project State Inpatient Databases. Food swamp severity is measured as the percentage of food outlets in a county that sell primarily unhealthy foods. Hierarchical linear mixed models with county random intercepts are estimated, controlling for area-level covariates and state and year fixed effects. Curvilinear relationships are explored by additively incorporating quadratic terms. We find that, over the study period, mean food swamp severity remained relatively stable. Mean hospitalization rates decreased from 296.72 to 262.82 hospitalizations per 1000 diabetic adults (p < 0.001). In adjusted models, greater food swamp severity was associated with higher hospitalization rates in a curvilinear manner (severity: β = 2.181, p = 0.02; severity2: β = -0.017, p = 0.04), plateauing at approximately 64% unhealthy outlets, a saturation point observed in 17% of observations. Policies that limit saturation of the environment with unhealthy outlets may help in the prevention of diabetic complications, but more saturated counties will likely require more extensive intervention.

Decision Aid Implementation and Patients' Preferences for Hip and Knee Osteoarthritis Treatment: Insights from the High Value Healthcare Collaborative

BACKGROUND

Shared decision making (SDM) research has emphasized the role of decision aids (DAs) for helping patients make treatment decisions reflective of their preferences, yet there have been few collaborative multi-institutional efforts to integrate DAs in orthopedic consultations and primary care encounters.

OBJECTIVE

In the context of routine DA implementation for SDM, we investigate which patient-level characteristics are associated with patient preferences for surgery versus medical management before and after exposure to DAs. We explored whether DA implementation in primary care encounters was associated with greater shifts in patients' treatment preferences after exposure to DAs compared to DA implementation in orthopedic consultations.

DESIGN

Retrospective cohort study.

SETTING

10 High Value Healthcare Collaborative (HVHC) health systems.

STUDY PARTICIPANTS

A total of 495 hip and 1343 adult knee osteoarthritis patients who were exposed to DAs within HVHC systems between July 2012 to June 2015.

RESULTS

Nearly 20% of knee patients and 17% of hip patients remained uncertain about their treatment preferences after viewing DAs. Older patients and patients with high pain levels had an increased preference for surgery. Older patients receiving DAs from three HVHC systems that transitioned DA implementation from orthopedics into primary care had lower odds of preferring surgery after DA exposure compared to older patients in seven HVHC systems that only implemented DAs for orthopedic consultations.

CONCLUSION

Patients' treatment preferences were largely stable over time, highlighting that DAs for SDM largely do not necessarily shift preferences. DAs and SDM processes should be targeted at older adults and patients reporting high pain levels. Initiating treatment conversations in primary versus specialty care settings may also have important implications for engagement of patients in SDM via DAs.

The Impact Of Decision Aids On Adults Considering Hip Or Knee Surgery

Trials of decision aids developed for use in shared decision making find that patients engaged in that process tend to choose more conservative treatment for preference-sensitive conditions. Shared decision making is a collaborative process in which clinicians and patients discuss trade-offs and benefits of specific treatment options in light of patients' values and preferences. Decision aids are paper, video, or web-based tools intended to help patients match personal preferences with available treatment options. We analyzed data for 2012-15 about patients within the ten High Value Healthcare Collaborative member systems who were exposed to condition-specific decision aids in the context of consultations for hip and knee osteoarthritis, with the intention that the aids be used to support shared decision making. Compared to matched patients not exposed to the decision aids, those exposed had two-and-a-half times the odds of undergoing hip replacement surgery and nearly twice the odds of undergoing knee replacement surgery within six months of the consultation. These findings suggest that health care systems adopting decision aids developed for use in shared decision making, and used in conjunction with hip and knee osteoarthritis consultations, should not expect reduced surgical utilization.

Implementation Variation in Natural Experiments of State Health Policy Initiatives

OBJECTIVES

An increasing number of federal initiatives allow states flexibility in selecting the strategies used to achieve initiative-specific goals. Variation in the foci and intensity of implementation may explain why federal policy initiatives succeed in some states and fail in others. The CMS State Innovation Models (SIM) initiative is a complex policy intervention implemented with substantial variation across states and may have variable impacts. This paper presents a method to characterize and account for that variation in states' implementation foci and intensity in natural policy experiments.

STUDY DESIGN

A combination of quantitative and qualitative measures of SIM implementation was used to characterize the foci of payment and delivery system reforms across states.

METHODS

A modified Delphi expert panel process was used to prioritize the features of SIM implementation that would differentiate grantee states with respect to improved health outcomes. Three researchers then reviewed summaries of published evaluations and reports to characterize and score states on each implementation feature. Expert panelists guided the researchers on developing the criteria and weights applied to the focus areas when calculating SIM implementation intensity scores for states.

RESULTS

Over 3 years of an expert panel process, 4 dimensions of SIM implementation that would most affect health outcomes were prioritized: 1) extent and breadth of stakeholder engagement, (2) extent that SIM implementation was focused on improving behavioral health, (3) amount of SIM funding per capita, and (4) breadth and depth of value-based payment reforms. Scoring states based on the prioritized factors resulted in composite scores that differentiated states into 3 categories: high, moderate, and low implementation intensity.

CONCLUSIONS

We developed a stakeholder-driven method to measure and account for variation in implementation foci and intensity in a federal policy initiative that was implemented heterogeneously across grantee states. Our method for characterizing state implementation variation may be useful for natural policy experiments examining the variable impact of policy initiatives.

Early Impact of the State Innovation Models Initiative on Diagnosed Diabetes Prevalence Among Adults and Hospitalizations Among Diagnosed Adults

BACKGROUND

The State Innovation Models (SIM) Initiative invested $254 million in 6 states in Round 1 to accelerate delivery system and payment reforms.

OBJECTIVE

The objective of this study was to examine the association of early SIM implementation and diagnosed diabetes prevalence among adults and hospitalization rates among diagnosed adults.

RESEARCH DESIGN

Quasi-experimental design compares diagnosed diabetes prevalence and hospitalization rates before SIM (2010-2013) and during early implementation (2014) in 6 SIM states versus 6 comparison states. County-level, difference-in-differences regression models were estimated.

SUBJECTS

The annual average of 4.5 million adults aged 20+ diagnosed with diabetes with 1.4 million hospitalizations in 583 counties across 12 states.

MEASURES

Diagnosed diabetes prevalence among adults and hospitalization rates per 1000 diagnosed adults.

RESULTS

Compared with the pre-SIM period, diagnosed diabetes prevalence increased in SIM counties by 0.65 percentage points (from 10.22% to 10.87%) versus only 0.10 percentage points (from 9.64% to 9.74%) in comparison counties, a difference-in-differences of 0.55 percentage points. The difference-in-differences regression estimates ranged from 0.49 to 0.53 percentage points (P<0.01). Regression results for ambulatory care-sensitive condition and all-cause hospitalization rates were inconsistent across models with difference-in-differences estimates ranging from -5.34 to -0.37 and from -13.16 to 0.92, respectively.

CONCLUSIONS

SIM Round 1 was associated with higher diagnosed diabetes prevalence among adults after a year of implementation, likely because of SIM's emphasis on detection and care management. SIM was not associated with lower hospitalization rates among adults diagnosed with diabetes, but the SIM's long-term impact on hospitalizations should be assessed.

Linking Practice Adoption of Patient Engagement Strategies and Relational Coordination to Patient-Reported Outcomes in Accountable Care Organizations

Policy Points Accountable care organizations (ACOs) have incentives to promote the adoption of patient engagement strategies such as shared decision making and self-management support programs to improve patient outcomes and contain health care costs. High adoption of patient engagement strategies among ACO-affiliated practices did not improve patient-reported outcomes (PROs) of physical, emotional, and social function among adult patients with diabetes and/or cardiovascular disease over a one-year time frame, likely because implementing these strategies requires extensive clinician and staff training, workflow redesign, and patient participation over time. A dominant focus on improving clinical measures to meet external requirements may crowd out time needed for care team members to address other outcomes that matter to patients, including PROs. Payers and policy-makers should explicitly incentivize the collection and use of PROs when contracting with ACOs.

CONTEXT

Adult primary care practices of accountable care organizations (ACOs) are adopting a range of patient engagement strategies, but little is known about how these strategies are related to patient-reported outcomes (PROs) and how relational coordination among team members aids implementation.

METHODS

We used a mixed-methods cohort study design integrating administrative and clinical data with two data collection waves (2014-2015 and 2016-2017) of clinician and staff surveys (n = 764), surveys of adult patients with diabetes and/or cardiovascular disease (CVD) (n = 1,276), and key informant interviews of clinicians, staff, and administrators (n = 103). Multivariable linear regression estimated the relationship of practice adoption of patient engagement strategies, relational coordination, and PROs of physical, social, and emotional function. The mediating role of patient activation was examined using cross-lagged panel models. Key informant interviews assessed how relational coordination influences the implementation of patient engagement strategies.

FINDINGS

There were no differential improvements in PROs among patients of practices with high vs. low adoption of patient engagement strategies or among patients of practices with high vs. low relational coordination. The Patient Activation Measure (PAM) is strongly related to better physical, emotional, and social PROs over time. Relational coordination facilitated the implementation of patient engagement strategies, but key informants indicated that resources and systems to systematically track treatment preferences and goals beyond clinical indicators were needed to support effective implementation.

CONCLUSIONS

Adult patients with diabetes and/or CVD of ACO-affiliated practices with high adoption of patient engagement strategies do not have improved PROs of physical, emotional, and social function over a one-year time frame. Implementing patient engagement strategies increases task interdependence among primary care team members, which needs to be carefully managed. ACOs may need to make greater investment in collecting, monitoring, and analyzing PRO data to ensure that practice adoption and implementation of patient engagement strategies leads to improved physical, emotional, and social function among patients.

Linking Structural Capabilities and Workplace Climate in Community Health Centers

Many strategies to improve health care quality focus on improving the structural capabilities of primary care practices, including quality infrastructure and registry use, which are critical to managing chronic diseases. However, improving structural capabilities requires practices to expend significant resources and can be especially disruptive to community health centers (CHCs) serving high proportions of socioeconomically vulnerable patients. We explore the relationship between the structural capabilities and workplace climate in CHCs. The final sample for this analysis includes 25 CHC sites that could be matched across CHC site director surveys of structural capabilities and CHC adult primary care clinicians and staff (n = 446). To estimate the association between structural capabilities and dimensions of workplace climate, we estimated multivariate linear regression models that included the climate scales as dependent variables and the 5 structural capability scales as the main independent variables, with the 3 clinic-level and 2 staff-level covariates. More manageable clinic workload was associated with lower electronic record functionality (β = −0.47, P = .007), but positively associated with quality infrastructure (β = 0.92, P = .007). Staff relationships and quality improvement orientation were positively associated with quality infrastructure (β = 1.09, P = .006 and β = 0.87, P = .005). Manager readiness was associated with more robust quality infrastructure (β = 1.35, P = .016), but lower electronic record functionality (β = −0.48, P = .015) and less proactive patient outreach (β = −1.32, P = .025). Complex relationships between structural capabilities and workplace climate were found in CHCs. Further clarification of these complex connections may enable policy makers and practitioners to design and implement nuanced strategies to improve quality of care in CHCs.