Literature DB >> 35331782

Patient-level factors associated with receipt of preventive care in the safety net.

Brigit Hatch1, Carrie Tillotson2, Megan Hoopes2, Nathalie Huguet3, Miguel Marino4, Jennifer DeVoe3.   

Abstract

Prevention is critical to optimizing health, yet most people do not receive all recommended preventive services. As the complexity of preventive recommendations increases, there is a need for new measurements to capture the degree to which a person is up to date, and identify individual-level barriers and facilitators to receiving needed preventive care. We used electronic health record data from a national network of community health centers (CHCs) in the United States (US) during 2014-2017 to measure patient-level up-to-date status with preventive ratios (measuring up-to-date person-time denoted as a percent) for 12 preventive services and an aggregate preventive index. We use negative binomial regression to identify factors associated with up-to-date preventive care. We assessed 267,767 patients across 165 primary care clinics. Mean preventive ratios ranged from 8.7% for Hepatitis C screening to 83.3% for blood pressure screening. The mean aggregate preventive index was 43%. Lack of health insurance, smoking, and homelessness were associated with lower preventive ratios for most cancer and cardiovascular screenings (p < 0.05). Having more ambulatory visits, better continuity of care, and enrollment in the patient portal were positively associated with the aggregate preventive index (p < 0.05) and higher preventive ratios for all services (p < 0.05) except chlamydia and HIV screening. Overall, receipt of preventive services was low. CHC patients experience many barriers to receiving needed preventive care, but certain healthcare behaviors - regular visits, usual provider continuity, and patient portal enrollment - were consistently associated with more up-to-date preventive care. These associations should inform future efforts to improve preventive care delivery.
Copyright © 2022 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2022        PMID: 35331782      PMCID: PMC9231228          DOI: 10.1016/j.ypmed.2022.107024

Source DB:  PubMed          Journal:  Prev Med        ISSN: 0091-7435            Impact factor:   4.637


  34 in total

1.  Receipt of preventive care among adults: insurance status and usual source of care.

Authors:  Jennifer E DeVoe; George E Fryer; Robert Phillips; Larry Green
Journal:  Am J Public Health       Date:  2003-05       Impact factor: 9.308

Review 2.  Prompting clinicians about preventive care measures: a systematic review of randomized controlled trials.

Authors:  Judith W Dexheimer; Thomas R Talbot; David L Sanders; S Trent Rosenbloom; Dominik Aronsky
Journal:  J Am Med Inform Assoc       Date:  2008-02-28       Impact factor: 4.497

Review 3.  Indices for continuity of care: a systematic review of the literature.

Authors:  Sandra H Jee; Michael D Cabana
Journal:  Med Care Res Rev       Date:  2006-04       Impact factor: 3.929

4.  Measuring Preventive Care Delivery: Comparing Rates Across Three Data Sources.

Authors:  Steffani R Bailey; John D Heintzman; Miguel Marino; Megan J Hoopes; Brigit A Hatch; Rachel Gold; Stuart C Cowburn; Christine A Nelson; Heather E Angier; Jennifer E DeVoe
Journal:  Am J Prev Med       Date:  2016-08-10       Impact factor: 5.043

5.  The Prevention Index: using technology to improve quality assessment.

Authors:  Thomas M Vogt; Mikel Aickin; Faruque Ahmed; Mark Schmidt
Journal:  Health Serv Res       Date:  2004-06       Impact factor: 3.402

6.  Who is at greatest risk for receiving poor-quality health care?

Authors:  Steven M Asch; Eve A Kerr; Joan Keesey; John L Adams; Claude M Setodji; Shaista Malik; Elizabeth A McGlynn
Journal:  N Engl J Med       Date:  2006-03-16       Impact factor: 91.245

7.  Preventive Service Use Among People With and Without Serious Mental Illnesses.

Authors:  Bobbi Jo H Yarborough; Nancy A Perrin; Scott P Stumbo; John Muench; Carla A Green
Journal:  Am J Prev Med       Date:  2017-10-19       Impact factor: 5.043

8.  The association between insurance status and cervical cancer screening in community health centers: exploring the potential of electronic health records for population-level surveillance, 2008-2010.

Authors:  Stuart Cowburn; Matthew J Carlson; Jodi A Lapidus; Jennifer E DeVoe
Journal:  Prev Chronic Dis       Date:  2013-10-24       Impact factor: 2.830

9.  The Effectiveness of Medicare Wellness Visits in Accessing Preventive Screening.

Authors:  Fabian Camacho; Nengliang Aaron Yao; Roger Anderson
Journal:  J Prim Care Community Health       Date:  2017-10-28

10.  Use of Selected Recommended Clinical Preventive Services - Behavioral Risk Factor Surveillance System, United States, 2018.

Authors:  Suhang Song; Allison White; James E Kucik
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2021-04-02       Impact factor: 17.586

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.