To assess multilevel factors associated with variation in COVID-19 vaccination rates in a US network of community health centers. Using multilevel logistic regression with electronic health record data from ADVANCE (Accelerating Data Value Across a National Community Health Center Network; January 1, 2022-December 31, 2022), we assessed associations between health care delivery site-level (n = 1219) and patient-level (n = 1 864 007) characteristics and COVID-19 primary vaccine series uptake. A total of 1 337 440 patients completed the COVID-19 primary vaccine series.
View Article and Find Full Text PDFBackground: Health care providers can offer employment-related support to pregnant patients by providing information about occupational risks and benefits, discussing adjustments, and/or completing paperwork to help patients obtain accommodations or benefits, but little research has examined whether and how this support is provided.
Methods: We conducted interviews with 20 adults who had been employed while pregnant within the 5 years preceding data collection. Eligible participants had low incomes, were hourly wage earners, or were employed in service or retail occupations.
Introduction: Area-level social determinants of health (SDoH) and individual-level social risks are different, yet area-level measures are frequently used as proxies for individual-level social risks. This study assessed whether demographic factors were associated with patients being screened for individual-level social risks, the percentage who screened positive for social risks, and the association between SDoH and patient-reported social risks in a nationwide network of community-based health centers.
Methods: Electronic health record data from 1,330,201 patients with health center visits in 2021 were analyzed using multilevel logistic regression.
Purpose: Community health centers (CHCs) provide critical health care access for people who experience high risks during and after pregnancy, however it is unclear to what extent they provide prenatal care. This study seeks to describe clinic and patient characteristics associated with longitudinal prenatal care delivery in CHC settings.
Methods: This retrospective cohort study utilized electronic health record (EHR) data from the Accelerating Data Value Across a National Community Health Center Network (ADVANCE) between 2018 to 2019 to describe prenatal care provision among CHCs ( = 408), and pregnant CHC patients ( = 28,578) and compared characteristics of patients who received longitudinal prenatal care at CHCs versus those who did not.
Objective: To describe patterns of contraceptive method switching and long-acting reversible contraception (LARC) removal in a large network of community health centers.
Methods: We conducted a retrospective cohort study using individual-level electronic health record data from 489 clinics in 20 states from 2016 to 2021. We used logistic regression models, including individual-, clinic-, and state-level covariates, to calculate adjusted odds ratios and predicted probabilities of any observed contraceptive method switching and LARC removal among those with baseline incident LARC, both over 4-year time periods.
Introduction: Concerns about the opportunity costs of social screening initiatives have led some healthcare organizations to consider using social deprivation indices (area-level social risks) as proxies for self-reported needs (individual-level social risks). Yet, little is known about the effectiveness of such substitutions across different populations.
Methods: This analysis explores how well the highest quartile (cold spot) of three different area-level social risk measures-the Social Deprivation Index, Area Deprivation Index, and Neighborhood Stress Score-corresponds with six individual-level social risks and three risk combinations among a national sample of Medicare Advantage members (N=77,503).
NEJM Catal Innov Care Deliv
April 2023
Evidence is needed about how to effectively support health care providers in implementing screening for social risks (adverse social determinants of health) and providing related referrals meant to address identified social risks. This need is greatest in underresourced care settings. The authors tested whether an implementation support intervention (6 months of technical assistance and coaching study clinics through a five-step implementation process) improved adoption of social risk activities in community health centers (CHCs).
View Article and Find Full Text PDFObjective: Increased social risk data collection in health care settings presents new opportunities to apply this information to improve patient outcomes. Clinical decision support (CDS) tools can support these applications. We conducted a participatory engagement process to develop electronic health record (EHR)-based CDS tools to facilitate social risk-informed care plan adjustments in community health centers (CHCs).
View Article and Find Full Text PDFBackground: Paid family leave and working conditions are components of employment quality-a key social determinant of health across the life course, particularly during pregnancy. Increased research on prenatal social risk screening has not extended to employment quality. The objective of this systematic review was to identify prenatal screening practices and interventions in health care settings that address employment and working conditions as social risk factors among pregnant adults and to describe their properties and key findings.
View Article and Find Full Text PDFIntroduction: The American Heart Association and American College of Cardiology have proposed adjusting hypertension-related care quality measures by excluding patients with economic/access issues from the denominator of rate calculations. No research to date has explored the methods to operationalize this recommendation or how to measure economic/access issues. This study applied and compared different approaches to populating these denominator exceptions.
View Article and Find Full Text PDFTo describe patterns of providing moderately effective versus the most effective contraception and of providing implants versus intrauterine devices in US community health centers. We conducted a historical cohort study (2017-2019). Outcomes were woman-level receipt of most effective contraception (long-acting reversible contraception; implants and intrauterine devices) or moderately effective contraception.
View Article and Find Full Text PDFIntroduction: Social risks (e.g., food/transportation insecurity) can hamper type 2 diabetes mellitus (T2DM) self-management, leading to poor outcomes.
View Article and Find Full Text PDFCommunity health centers are a crucial source of health care for reproductive-age women. Some community health centers receive funding from the federal Title X program, which provides funding for family planning services for low-income women. We describe the provision of the most effective (intrauterine devices and implants) and moderately effective (short-acting hormonal methods) contraceptive methods in a large network of 384 community health center clinics across twenty states in 2016-18.
View Article and Find Full Text PDFObjective: Routine pregnancy-intention screening in the primary care setting is a promising practice to help patients achieve their reproductive goals. We aim to describe the utilization of a pregnancy-intention screening tool integrated in the electronic health record (EHR) of a national network of community health centers (CHCs) and identify clinic-level factors associated with tool use.
Study Design: We conducted a clinic-level retrospective observational study to assess tool utilization during the first 3 years after the tool was made available in the EHR (November 2015 to October 2018).
Background: The fee-for-service reimbursement system that dominates health care throughout the United States links payment to a billable office visit with a physician or advanced practice provider. Under Oregon's Alternative Payment and Advanced Care Model (APCM), initiated in 2013, participating community health centers (CHCs) received per-member-per-month payments for empaneled Medicaid patients in lieu of standard fee-for-service Medicaid payments. With Medicaid revenue under APCM no longer tied solely to the volume of visits, the Oregon Health Authority needed a way to document the full range of care and services that CHCs were providing to their patients, including nontraditional patient encounters taking place outside of traditional face-to-face visits with a billable provider.
View Article and Find Full Text PDFOnly half of the United States population regularly receives recommended preventive care services. Alternative payment models (e.g.
View Article and Find Full Text PDFImportance: Responding to the substantial research on the relationship between social risk factors and health, enthusiasm has grown around social risk screening in health care settings, and numerous US health systems are experimenting with social risk screening initiatives. In the absence of standard social risk screening recommendations, some health systems are exploring using publicly available community-level data to identify patients who live in the most vulnerable communities as a way to characterize patient social and economic contexts, identify patients with potential social risks, and/or to target social risk screening efforts.
Objective: To explore the utility of community-level data for accurately identifying patients with social risks by comparing the social deprivation index score for the census tract where a patient lives with patient-level social risk screening data.
Purpose: In an age of value-based payment, primary care providers are increasingly scrutinized on performance metrics that assess quality of care, including the outcomes of their patient population in key areas such as diabetes control. Although such measures often adjust for patient clinical risk factors or clinical complexity, most do not account for the social complexity of patient populations, despite research demonstrating the strong association between social factors and health.
Methods: Using patient electronic health record data from 2 large community health center networks serving safety net patients, we assessed the effect of both clinical and social risk factors on poor glucose control among diabetics.
The patient-centered medical home model aspires to fundamentally restructure care processes, but a volume-based payment system may hinder such transformations. In 2013 Oregon's Medicaid program changed its reimbursement of traditional primary care services for selected community health centers (CHCs) from a per visit to a per patient rate. Using Oregon claims data, we analyzed the price-weighted volume of care for five service areas: traditional primary care services, including imaging, tests, and procedures; other services provided by CHCs that were carved out from the payment reform; emergency department visits; inpatient services; and other services of non-CHC providers.
View Article and Find Full Text PDFImportance: Use of effective contraception decreases unintended pregnancy. It is not known whether Medicaid expansion under the Affordable Care Act increased use of contraception for women who are underserved in the US health care safety net.
Objective: To evaluate the association of Medicaid expansion under the Affordable Care Act with changes in use of contraception among patients at risk of pregnancy at US community health centers, with the hypothesis that Medicaid expansion would be associated with increases in use of the most effective contraceptive methods (long-acting reversible contraception).
Objectives: We describe payor for contraceptive visits 2013-2014, before and after Medicaid expansion under the Affordable Care Act (ACA), in a large network of safety-net clinics. We estimate changes in the proportion of uninsured contraceptive visits and the independent associations of the ACA, Title X, and state family planning programs.
Methods: Our sample included 237 safety net clinics in 11 states with a common electronic health record.
Introduction: This paper describes the adoption of an electronic health record-based social determinants of health screening tool in a national network of more than 100 community health centers.
Methods: In 2016, a screening tool with questions on 7 social determinants of health domains was developed and deployed in the electronic health record, with technical instructions on how to use the tool and suggested clinical workflows. To understand adoption patterns, the study team extracted electronic health record data for any patient with a community health center visit between June 2016 and May 2018.
Several recent national initiatives have called for increased efforts to integrate social determinants of health (SDH) into health care settings using health information technology (HIT). However, there is limited evidence to guide the implementation of these recommendations in practice. Research is needed to understand what SDH information is most important to collect, how SDH information can be used to inform clinical care and referrals, and ultimately, whether and how integrating SDH screening and action into primary care affects individual and population health.
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