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Objective: To propose a unifying set of definitions for prescription adherence research utilizing electronic health record prescribing databases, prescription dispensing databases, and pharmacy claims databases and to provide a conceptual framework to operationalize these definitions consistently across studies. Methods: We reviewed recent literature to identify definitions in electronic database studies of prescription-filling patterns for chronic oral medications. We then develop a conceptual model and propose standardized terminology and definitions to describe prescription-filling behavior from electronic databases. Results: The conceptual model we propose defines 2 separate constructs: medication adherence and persistence. We define primary and secondary adherence as distinct subtypes of adherence. Metrics for estimating secondary adherence are discussed and critiqued, including a newer metric (New Prescription Medication Gap measure) that enables estimation of both primary and secondary adherence. Discussion: Terminology currently used in prescription adherence research employing electronic databases lacks consistency. We propose a. clear, consistent, broadly applicable conceptual model and terminology for such studies. The model and definitions facilitate research utilizing electronic medication prescribing, dispensing, and/or claims databases and encompasses the entire continuum of prescription-filling behavior. Conclusion: Employing conceptually clear and consistent terminology to define medication adherence and persistence will facilitate future comparative effectiveness research and meta-analytic studies that utilize electronic prescription and dispensing records.

Background Missed colonoscopy appointments delay screening and treatment for gastrointestinal disorders. Prior nonadherence with other care components may be associated with missed colonoscopy appointments. Objective To assess variability in prior adherence behaviors and their association with missed colonoscopy appointments. Design Retrospective cohort study. Participants Patients scheduled for colonoscopy in an integrated healthcare system between January 2016 and December 2018. Main Measures Prior adherence behaviors included: any missed outpatient appointment in the previous year; any missed gastroenterology clinic or colonoscopy appointment in the previous 2 years; and not obtaining a bowel preparation kit pre-colonoscopy. Other sociodemographic, clinical, and system characteristics were included in a multivariable model to identify independent associations between prior adherence behaviors and missed colonoscopy appointments. Key Results The median age of the 57,590 participants was 61 years; 52.8% were female and 73.4% were white. Of 77,684 colonoscopy appointments, 3,237 (4.2%) were missed. Individuals who missed colonoscopy appointments were more likely to have missed a previous primary care appointment (62.5% vs. 38.4%), a prior gastroenterology appointment (18.4% vs. 4.7%) or not to have picked up a bowel preparation kit (42.4% vs. 17.2%), all p < 0.001. Correlations between the three adherence measures were weak (phi < 0.26). The rate of missed colonoscopy appointments increased from 1.8/100 among individuals who were adherent with all three prior care components to 24.6/100 among those who were nonadherent with all three care components. All adherence variables remained independently associated with nonadherence with colonoscopy in a multivariable model that included other covariates; adjusted odds ratios (with 95% confidence intervals) were 1.6 (1.5–1.8) for outpatient appointments, 1.9 (1.7–2.1) for gastroenterology appointments, and 3.1 (2.9–3.4) for adherence with bowel preparation kits, respectively. Conclusions Three prior adherence behaviors were independently associated with missed colonoscopy appointments. Studies to predict adherence should use multiple, complementary measures of prior adherence when available.

Retention in hypertension care, medication adherence, and blood pressure (BP) may have been affected by the COVID‐19 pandemic. In a retrospective cohort study of 64 766 individuals with treated hypertension from an integrated health care system, we compared hypertension care during the year pre‐COVID‐19 (March 2019–February 2020) and the first year of COVID‐19 (March 2020–February 2021). Retention in hypertension care was defined as receiving clinical BP measurements during COVID‐19. Medication adherence was measured using prescription refills. Clinical care was assessed by in‐person and virtual visits and changes in systolic and diastolic BP. The cohort had a mean age of 67.8 (12.2) years, 51.2% were women, and 73.5% were White. In 60 757 individuals with BP measurements pre‐COVID‐19, 16618 (27.4%) had no BP measurements during COVID‐19. Medication adherence declined from 86.0% to 80.8% (p < .001). In‐person primary care visits decreased from 2.7 (2.7) to 1.4 (1.9) per year, while virtual contacts increased from 9.5 (12.2) to 11.2 (14.2) per year (both p < .001). Among individuals with BP measurements, mean (SD) systolic BP was 126.5 mm Hg (11.8) pre‐COVID‐19 and 127.3 mm Hg (12.6) during COVID‐19 (p = .14). Mean diastolic BP was 73.5 mm Hg (8.5) pre‐COVID‐19 and 73.5 mm Hg (8.7) during COVID‐19 (p = .77). Even in this integrated health care system, many individuals did not receive clinical BP monitoring during COVID‐19. Most individuals who remained in care maintained pre‐COVID BP. Targeted outreach may be necessary to restore care continuity and hypertension control at the population level.

We examined the prevalence of obesity among American Indian and Alaska Native (AIAN) young adults and to investigate the association between key social determinants of health (SDOH) and higher body mass index (BMI). We used the Indian Health Service Improving Delivery Data Project from fiscal year 2013. It includes data for 20,698 AIAN young adults aged 18–24 years. We added county-level measures of SDOH from the USDA Food Environment Atlas and the Census as contextual variables. We conducted stratified logistic regressions to understand the relationship between these SDOH indicators and odds of obesity. Thirty-seven percent of our sample was identified as obese (i.e., BMI ≥30). Individuals who lived in counties with lower levels of educational attainment and higher levels of poverty had higher odds of obesity than those who lived in counties with higher education and lower poverty (p < 0.0001). Counties with higher poverty rates had less access to social and environmental resources than the lower poverty rate counties (p < 0.0001). Federal and state governments should increase access to education and economic development opportunities to positively impact health outcomes.

Background Health systems are increasingly attempting to intervene on social adversity as a strategy to improve health care outcomes. To inform health system efforts to screen for social adversity, we sought to explore the stability of social risk and interest in assistance over time and to evaluate whether the social risk was associated with subsequent healthcare utilization. Methods We surveyed Kaiser Permanente members receiving subsidies from the healthcare exchange in Southern California to assess their social risk and desire for assistance using the Accountable Health Communities instrument. A subset of initial respondents was randomized to be re-surveyed at either three or six months later. Results A total of 228 participants completed the survey at both time points. Social risks were moderate to strongly stable across three and six months (Kappa range = .59-.89); however, social adversity profiles that included participants’ desire for assistance were more labile (3-month Kappa = .52; 95% CI = .41-.64 & 6-month Kappa = .48; 95% CI = .36-.6). Only housing-related social risks were associated with an increase in acute care (emergency, urgent care) six months after initial screening; no other associations between social risk and utilization were observed. Conclusions This study suggests that screening for social risk may be appropriate at intervals of six months, or perhaps longer, but that assessing desire for assistance may need to occur more frequently. Housing risks were associated with increases in acute care. Health systems may need to engage in screening and referral to resources to improve overall care and ultimately patient total health.

Background: Colonoscopy has become a preferred colorectal cancer (CRC) screening modality. Little is known about why patients who are referred for colonoscopy do not complete the recommended procedures. Prior adherence studies have evaluated colonoscopy only in combination with flexible sigmoidoscopy, failed to differentiate between screening and diagnostic procedures, and have examined cancellations/no‐shows, but not nonscheduling, as mechanisms of nonadherence. Methods: Sociodemographic predictors of screening completion were assessed in a retrospective cohort of 647 patients referred for colonoscopy at a major university hospital. Then, using a qualitative study design, a convenience sample of patients who never completed screening after referral (n=52) was interviewed by telephone, and comparisons in reported reasons for nonadherence were made by gender. Results: Half of all patients referred for colonoscopy failed to complete the procedure, overwhelmingly because of nonscheduling. In multivariable analysis, female sex, younger age, and insurance type predicted poorer adherence. Patient‐reported barriers to screening completion included cognitive‐emotional factors (e.g., lack of perceived risk for CRC, fear of pain, and concerns about modesty and the bowel preparation), logistic obstacles (e.g., cost, other health problems, and competing demands), and health system barriers (e.g., scheduling challenges, long waiting times). Women reported more concerns about modesty and other aspects of the procedure than men. Only 40% of patients were aware of alternative screening options. Conclusions: Adherence to screening colonoscopy referrals is sub‐optimal and may be improved by better communication with patients, counseling to help resolve logistic barriers, and improvements in colonoscopy referral and scheduling mechanisms.

For individuals with human immunodeficiency virus (HIV) infection to fully benefit from potent combination antiretroviral therapy, they need to know that they are HIV infected, be engaged in regular HIV care, and receive and adhere to effective antiretroviral therapy. Test-and-treat strategies for HIV prevention posit that expanded testing and earlier treatment of HIV infection could markedly decrease ongoing HIV transmission, stemming the HIV epidemic. However, poor engagement in care for HIV-infected individuals will substantially limit the effectiveness of test-and-treat strategies. We review the spectrum of engagement in care for HIV-infected individuals in the United States and apply this information to help understand the magnitude of the challenges that poor engagement in care will pose to test-and-treat strategies for HIV prevention.

Background Burnout among clinicians is common and can undermine quality of care, patient outcomes, and workforce preservation, but sources of burnout or protective factors unique to clinicians working in safety-net settings are less well understood. Understanding these clinician experiences may inform interventions to reduce burnout. Objective To describe clinician perspectives on sources of burnout in a safety-net healthcare system. Design Semi-structured interviews were conducted with clinicians from multiple disciplines who provided care at a safety-net healthcare system from October 2018 to January 2019. Transcripts were analyzed using thematic analysis. Participants Forty clinicians (25 female and 15 male; mean [SD] age, 41 [9.1]) participated, including physicians, social workers, advanced practice providers, nurses, psychologists, physical and occupational therapists, and other healthcare professionals. Main Outcomes and Measures Themes and subthemes that reflected clinician experiences, burnout, and workload expectations. Key Results Five themes emerged: limited resources (entrenched social injustices, brokenness of the US healthcare system, precarious discharge options, and “revolving door” readmissions), barriers to building trust with patients (chasm of communication, addressing fear and mistrust, and being exposed to threats), administrative requirements (criticism hampering meaningful care, assuming extra workloads, bureaucratic burden), compassion fatigue (confronting traumatic situations, persistent worry about patient safety and welfare, witnessing mistreatment and stigmatization, overextending and overinvesting, withdrawing and shutting down, blaming self and career crisis), and advocacy as a counterbalance to burnout (solidarity when helping underserved communities, fervent advocacy, and patient gratitude). Conclusions Among clinicians who provide care in a safety-net healthcare system, sources of burnout included limited resources, barriers to building trust with patients, administrative requirements, and compassion fatigue, but clinicians remained driven by their desire to advocate for patients. Policy-level interventions which increase funding to safety-net healthcare systems to bolster existing resources and staffing, create peer-support and wellness programs, and support advocacy efforts may mitigate burnout.

Introduction: Answers to clinical and public health research questions increasingly require aggregated data from multiple sites. Data from electronic health records and other clinical sources are useful for such studies, but require stringent quality assessment. Data quality assessment is particularly important in multisite studies to distinguish true variations in care from data quality problems. Methods: We propose a \"fit-for-use\" conceptual model for data quality assessment and a process model for planning and conducting single-site and multisite data quality assessments. These approaches are illustrated using examples from prior multisite studies. Approach: Critical components of multisite data quality assessment include: thoughtful prioritization of variables and data quality dimensions for assessment; development and use of standardized approaches to data quality assessment that can improve data utility over time; iterative cycles of assessment within and between sites; targeting assessment toward data domains known to be vulnerable to quality problems; and detailed documentation of the rationale and outcomes of data quality assessments to inform data users. The assessment process requires constant communication between site-level data providers, data coordinating centers, and principal investigators. Discussion: A conceptually based and systematically executed approach to data quality assessment is essential to achieve the potential of the electronic revolution in health care. High-quality data allow \"learning health care organizations\" to analyze and act on their own information, to compare their outcomes to peers, and to address critical scientific questions from the population perspective.

Although racial and ethnic minorities are more likely to be involved with the criminal justice system than whites in the USA, critical scientific gaps exist in our understanding of the relationship between the criminal justice system and the persistence of racial/ethnic health disparities. Individuals engaged with the criminal justice system are at risk for poor health outcomes. Furthermore, criminal justice involvement may have direct or indirect effects on health and health care. Racial/ethnic health disparities may be exacerbated or mitigated at several stages of the criminal justice system. Understanding and addressing the health of individuals involved in the criminal justice system is one component of a comprehensive strategy to reduce population health disparities and improve the health of our urban communities.