Dataset Information

State Variation in Quality Outcomes and Disparities in Outcomes in Community Health Centers.

ABSTRACT: Prior studies have reported that community health centers perform as well as other sites of care, despite serving more vulnerable patient populations. However, there is little prior study of geographic variation in quality outcomes and disparities in outcomes in this setting. Quantifying geographic variation is important so as to target quality improvement efforts and funding and to learn from states where total quality is highest and racial/ethnic disparities are lowest.To estimate between-state variation in hypertension, diabetes, and pregnancy outcomes and racial/ethnic disparities in these outcomes for health center patients.Using data on all US health centers from 2010 to 2014 (N=1047 health centers/year, or 21.2 million patients in 2014), we used linear regression models to estimate adjusted quality outcomes and racial/ethnic disparities in quality outcomes by state for hypertension control, diabetes control, and normal birthweight.We found wide variation in both outcomes and racial/ethnic disparities in outcomes between states for patients seen at health centers. For instance, between states, the mean proportion of patients with hypertension control ranged from 58% to 70% for white patients, from 49% to 64% for black patients, and from 53% to 74% for Hispanic patients (P<0.001). Racial/ethnic disparities in outcomes ranged from negative or nonsignificant in some states to positive in others.Wide variation in health center patient outcomes and disparities in outcomes is observed between states. This variation suggests that policymakers should target funding and interventions to underperforming states, and identify determinants of high quality in higher performing states.

SUBMITTER: Cole MB

PROVIDER: S-EPMC5688017 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

State Variation in Quality Outcomes and Disparities in Outcomes in Community Health Centers.

Cole Megan B MB Wilson Ira B IB Trivedi Amal N AN

Medical care 20171201 12

<h4>Background</h4>Prior studies have reported that community health centers perform as well as other sites of care, despite serving more vulnerable patient populations. However, there is little prior study of geographic variation in quality outcomes and disparities in outcomes in this setting. Quantifying geographic variation is important so as to target quality improvement efforts and funding and to learn from states where total quality is highest and racial/ethnic disparities are lowest.<h4>O ...[more]

PMID: 29016396

Similar Datasets

Project description:BackgroundTo monitor progress towards eliminating health disparities, community health centers have reported on hypertension control, diabetes control, and birthweight by race and ethnicity since 2008.ObjectiveTo evaluate racial/ethnic time trends in quality outcomes in health centers and to assess both within- and between-center disparities in outcomes.Design and sampleUsing 2009-2014 data from all US health centers (n = 1047 centers, serving 19.6 million patients/year), we evaluated racial/ethnic time trends in quality outcomes for health centers and assessed within- and between-center disparities.Main measuresPercentage of patients achieving control of blood pressure < 140/90 mmHg among hypertensive persons, control of glycosylated hemoglobin ? 9.0% among diabetic persons, and birthweight ? 2500 g. All outcomes were reported by race/ethnicity.Key resultsThere was no evidence of improved outcomes among racial/ethnic subgroups from 2009 to 2014, though electronic health record adoption, medical recognition, and insurance coverage rates increased substantially. Two exceptions were increased rates of normal birthweight for black patients (87.0% to 88.8%, or 0.3 percentage points/year, p = 0.02) and decreased rates of diabetes control for white patients (74.2% to 69.5%, or -1.0 percentage points/year, p < 0.01). Within centers, the largest racial/ethnic disparities in 2009 were white/black disparities in hypertension control (8.7 percentage points, 95% CI 7.4-10.1), white/black disparities in diabetes control (3.4 percentage points, 95% CI 2.0-4.7), and white/Hispanic disparities in diabetes control (4.4 percentage points, 95% CI 2.8-6.0). All disparities remained statistically unchanged from 2009 to 2014. White patients were more likely to be seen at a health center in the top performance quintile compared with black and Hispanic patients (p < 0.001).ConclusionsThough quality outcomes in health centers continued to compare favorably to other care settings, we found no evidence of improved quality or reduced disparities in diabetes control, hypertension control, or birthweight from 2009 to 2014. Within- and between-center racial/ethnic disparities in quality were evident, and both should be targeted in future interventions.

Project description:Colorectal cancer (CRC) screening can reduce cancer deaths. However, screening and abnormal test follow-up rates are low among underserved populations. The screening rates of 19-58%, and rates of colonoscopy completion after abnormal stool tests of 18-57% in community health centers (CHC) systems are low. This highlights an opportunity to improve early detection and decrease burden of CRC in our region. Mailed outreach and navigation programs have been shown to increase colonoscopy completion rate. The next step is to understand how to best implement these programs in the community on a larger scale. To achieve this goal, the investigators propose a Hub-and-Spoke intervention combining centralized strategies to maximize CRC screening, follow-up, and referral-to-care. The investigators hypothesize that this intervention will be superior to usual care for increasing CRC screening, abnormal test follow-up, and referral-to-care. The investigators will conduct a randomized trial to determine effectiveness in: 1) improvement in proportion of individuals up-to-date with screening 3 years post implementation; 2) proportion with abnormal FIT who complete diagnostic colonoscopy within 6 months; and 3) proportion with CRC completing first treatment evaluation. The investigators will also evaluate the implementation, scalability, and sustainability of the multi-level implementation strategy. The intervention consists of: Mailed FIT and Reminders. Eligible individuals will receive an introductory letter describing the importance of CRC screening and noting that follow-up mail will include a FIT Kit. It will also be offered to patients who completed prior mailed FIT with normal test results. All materials will be in English and Spanish. Two weeks later, participants will receive a packet via mail containing the FIT kit, a one-page invitation inviting FIT completion and FIT instructions, a postage-paid envelope for return to the patient’s CHC, and COVID-19 message. For non-compliant individuals not returning the kit, a reminder phone call and text message will be delivered 2 weeks later. The investigators will track returned letters, individuals who are later found to be up-to date with screening, and those who decline screening. The CHC will provide care coordination for patients with an abnormal FIT result.

Dataset Information

State Variation in Quality Outcomes and Disparities in Outcomes in Community Health Centers.

Publications

State Variation in Quality Outcomes and Disparities in Outcomes in Community Health Centers.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure