Literature DB >> 31419096

Passive social health surveillance and inpatient readmissions.

Nnadozie Emechebe, Pamme Lyons Taylor, Oluyemisi Amoda, Zachary Pruitt1.   

Abstract

OBJECTIVES: To determine whether self-identified social needs, such as financial assistance with utilities, food programs, housing support, transportation, and medication assistance, collected using a passive social health surveillance system were associated with inpatient readmissions. STUDY
DESIGN: Cross-sectional, retrospective observational study.
METHODS: This retrospective observational study linked social service referral data collected from a call center-based passive social health surveillance system with healthcare claims data extracted from a managed care organization (MCO). Mixed-effects logistic regression models calculated the odds of all-cause hospital readmissions within 30, 90, and 180 days among individuals with self-identified social service needs compared with those without.
RESULTS: Individuals who identified social service needs had 68% (odds ratio [OR], 1.68; 95% CI, 1.51-1.86), 89% (OR, 1.89; 95% CI, 1.74-2.05), and 101% (OR, 2.01; 95% CI, 1.87-2.17) higher odds of readmission within 30, 90, and 180 days, respectively, after controlling for other study variables. Examining each social service need separately, individuals had higher odds of hospital readmission within 30 days of discharge if they identified a financial (OR, 1.19; 95% CI, 1.07-1.33), food (OR, 1.32; 95% CI, 1.17-1.48), housing (OR, 1.31; 95% CI, 1.09-1.57), or transportation (OR, 1.21; 95% CI, 1.08-1.36) need compared with those without those social needs. In all study outcomes, medication assistance was not associated with readmissions.
CONCLUSIONS: An MCO created a passive social health surveillance program to more effectively integrate medical and social care. Understanding individual-level social health needs provides the insights needed to develop interventions to prevent hospital readmissions.

Mesh:

Year:  2019        PMID: 31419096

Source DB:  PubMed          Journal:  Am J Manag Care        ISSN: 1088-0224            Impact factor:   2.229


  4 in total

1.  Clinically Screening Hospital Patients for Social Risk Factors Across Multiple Hospitals: Results and Implications for Intervention Development.

Authors:  Khadeja Kausar; Edward Coffield; Sabina Zak; Ramanathan Raju; Yosef Dlugacz
Journal:  J Gen Intern Med       Date:  2022-03-16       Impact factor: 6.473

Review 2.  Addressing Social Needs in Health Care Settings: Evidence, Challenges, and Opportunities for Public Health.

Authors:  Matthew W Kreuter; Tess Thompson; Amy McQueen; Rachel Garg
Journal:  Annu Rev Public Health       Date:  2021-12-16       Impact factor: 21.981

3.  Potential of community-based risk estimates for improving hospital performance measures and discharge planning.

Authors:  Michael Reid; George Kephart; Pantelis Andreou; Alysia Robinson
Journal:  BMJ Open Qual       Date:  2021-04

4.  Addressing social risk factors in the inpatient setting: Initial findings from a screening and referral pilot at an urban safety-net academic medical center in Virginia, USA.

Authors:  Askar Chukmaitov; Bassam Dahman; Sheryl L Garland; Alan Dow; Pamela L Parsons; Kevin A Harris; Vanessa B Sheppard
Journal:  Prev Med Rep       Date:  2022-07-28
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.