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.