Skip to main content
Top
Published in: Journal of General Internal Medicine 11/2019

01-11-2019 | Care

Impact of Social Needs Navigation on Utilization Among High Utilizers in a Large Integrated Health System: a Quasi-experimental Study

Authors: Adam Schickedanz, MD, PhD, Adam Sharp, MD, MS, Yi R. Hu, MS, Nirav R. Shah, MD, MPH, John L. Adams, PhD, Damon Francis, MD, Artair Rogers, MS

Published in: Journal of General Internal Medicine | Issue 11/2019

Login to get access

Abstract

Background

Programs addressing social determinants of health for high-utilizing patients are gaining interest among health systems as an avenue to promote health and decrease utilization.

Objective

To evaluate impacts of a social needs screening and navigation program for adult predicted high utilizers on total medical visit utilization.

Design

A prospective, quasi-experimental study using an intent-to-treat propensity-weighted difference-in-differences approach. Stratified analyses assessed intervention effects among three low–socioeconomic status sub-samples: patients in low-income areas, in low-education areas, and with Medicaid insurance.

Participants

Predicted high utilizers—patients predicted to be in the highest 1% for total utilization in a large integrated health system.

Intervention

A telephonic social needs screening and navigation program.

Main Measures

Primary difference-in-difference analyses compared total visit count utilization, including outpatient, emergency department (ED), and inpatient utilization, between the intervention and control groups at both in-network and out-of-network facilities. Prevalence of social needs among sample patients and their connection rates to social needs resources are also described.

Key Results

The study included 34,225 patients (7107 intervention, 27,118 control). Most (53%) patients screened reported social needs, but only a minority (10%) of those with a need were able to connect with resources to address these needs. Primary analysis found total utilization visits decreased 2.2% (95% CI − 4.5%, 0.1%; p = 0.058) in the intervention group. Stratified analyses showed decreases in total utilization for all low–socioeconomic status subgroups receiving the intervention compared with controls: − 7.0% (95% CI − 11.9%, − 1.9%; p = 0.008) in the low-income area group, − 11.5% (− 17.6%, 5.0%; p < 0.001) in the low-education area group, and − 12.1% (− 18.1%, − 5.6%; p < 0.001) in the Medicaid group.

Conclusions

Social needs navigation programs for high-utilizing patients may have modest effects on utilization for the population overall. However, significant decreases in utilization were found among low–socioeconomic status patients more likely to experience social needs.
Appendix
Available only for authorised users
Literature
2.
go back to reference Institute of Medicine (US). Committee on the Recommended Social and Behavioral Domains and Measures for Electronic Health Records. Capturing Social and Behavioral Domains and Measures in Electronic Health Records: Phase 2. National Academies Press; 2014. Institute of Medicine (US). Committee on the Recommended Social and Behavioral Domains and Measures for Electronic Health Records. Capturing Social and Behavioral Domains and Measures in Electronic Health Records: Phase 2. National Academies Press; 2014.
11.
go back to reference Szymkowiak D, Montgomery AE, Johnson EE, Manning T, O’toole TP. Persistent Super-Utilization of Acute Care Services Among Subgroups of Veterans Experiencing Homelessness. Medical care. 2017 Oct 1;55(10):893–900.CrossRef Szymkowiak D, Montgomery AE, Johnson EE, Manning T, O’toole TP. Persistent Super-Utilization of Acute Care Services Among Subgroups of Veterans Experiencing Homelessness. Medical care. 2017 Oct 1;55(10):893–900.CrossRef
12.
go back to reference Berkowitz SA, Terranova J, Hill C, Ajayi T, Linsky T, Tishler LW, DeWalt DA. Meal Delivery Programs Reduce the Use Of Costly Health Care In Dually Eligible Medicare And Medicaid Beneficiaries. Health Affairs. 2018 Apr 1;37(4):535–42.CrossRef Berkowitz SA, Terranova J, Hill C, Ajayi T, Linsky T, Tishler LW, DeWalt DA. Meal Delivery Programs Reduce the Use Of Costly Health Care In Dually Eligible Medicare And Medicaid Beneficiaries. Health Affairs. 2018 Apr 1;37(4):535–42.CrossRef
14.
go back to reference Hunter SB, Harvey M, Briscombe B, Cefalu M. Evaluation of Housing for Health Permanent Supportive Housing Program. RAND Corporation (2017). Santa Monica, CA Hunter SB, Harvey M, Briscombe B, Cefalu M. Evaluation of Housing for Health Permanent Supportive Housing Program. RAND Corporation (2017). Santa Monica, CA
16.
go back to reference Zhou YY, Wong W, Li H. Improving care for older adults: a model to segment the senior population. The Permanente Journal. 2014;18(3):18–21. Zhou YY, Wong W, Li H. Improving care for older adults: a model to segment the senior population. The Permanente Journal. 2014;18(3):18–21.
17.
go back to reference Pope GC, Kautter J, Ellis RP, et al. Risk adjustment of Medicare capitation payments using the CMSHCC model. Health Care Financ Rev. 2004; 25:119–41.PubMedPubMedCentral Pope GC, Kautter J, Ellis RP, et al. Risk adjustment of Medicare capitation payments using the CMSHCC model. Health Care Financ Rev. 2004; 25:119–41.PubMedPubMedCentral
19.
go back to reference Frenkel WJ, Jongerius EJ, Mandjes-van Uitert MJ, Munster BC, Rooij SE. Validation of the Charlson Comorbidity Index in acutely hospitalized elderly adults: a prospective cohort study. Journal of the American Geriatrics Society. 2014 Feb 1;62(2):342–6.CrossRef Frenkel WJ, Jongerius EJ, Mandjes-van Uitert MJ, Munster BC, Rooij SE. Validation of the Charlson Comorbidity Index in acutely hospitalized elderly adults: a prospective cohort study. Journal of the American Geriatrics Society. 2014 Feb 1;62(2):342–6.CrossRef
20.
go back to reference Ash AS, Ellis RP, Pope GC, Ayanian JZ, Bates DW, Burstin H, Iezzoni LI, MacKay E, Yu W. Using diagnoses to describe populations and predict costs. Health Care Financing Review. 2000; 21(3):7.PubMedPubMedCentral Ash AS, Ellis RP, Pope GC, Ayanian JZ, Bates DW, Burstin H, Iezzoni LI, MacKay E, Yu W. Using diagnoses to describe populations and predict costs. Health Care Financing Review. 2000; 21(3):7.PubMedPubMedCentral
21.
go back to reference Rothman KJ, Greenland S, Lash TL (2008) Modern epidemiology. Philadelphia, Pa.; London: Lippincott Williams & Wilkins. Rothman KJ, Greenland S, Lash TL (2008) Modern epidemiology. Philadelphia, Pa.; London: Lippincott Williams & Wilkins.
22.
go back to reference Roy, A. Estimating correlation coefficient between two variables with repeated observations using mixed effects model. Biometric J. 2006; 48: 286–301.CrossRef Roy, A. Estimating correlation coefficient between two variables with repeated observations using mixed effects model. Biometric J. 2006; 48: 286–301.CrossRef
23.
go back to reference Szanton SL, Samuel LJ, Cahill R, Zielinskie G, Wolff JL, Thorpe RJ, Betley C. Food assistance is associated with decreased nursing home admissions for Maryland’s dually eligible older adults. BMC geriatrics. 2017 Dec;17(1):162.CrossRef Szanton SL, Samuel LJ, Cahill R, Zielinskie G, Wolff JL, Thorpe RJ, Betley C. Food assistance is associated with decreased nursing home admissions for Maryland’s dually eligible older adults. BMC geriatrics. 2017 Dec;17(1):162.CrossRef
24.
go back to reference Thomas KS, Mor V. Providing more home-delivered meals is one way to keep older adults with low care needs out of nursing homes. Health Affairs. 2013 Oct 1;32(10):1796–802.CrossRef Thomas KS, Mor V. Providing more home-delivered meals is one way to keep older adults with low care needs out of nursing homes. Health Affairs. 2013 Oct 1;32(10):1796–802.CrossRef
25.
go back to reference Lage DE, Jernigan MC, Chang Y, Grabowski DC, Hsu J, Metlay JP, Shah SJ. Living Alone and Discharge to Skilled Nursing Facility Care after Hospitalization in Older Adults. Journal of the American Geriatrics Society. 2018 Jan 1;66(1):100–5. Lage DE, Jernigan MC, Chang Y, Grabowski DC, Hsu J, Metlay JP, Shah SJ. Living Alone and Discharge to Skilled Nursing Facility Care after Hospitalization in Older Adults. Journal of the American Geriatrics Society. 2018 Jan 1;66(1):100–5.
27.
go back to reference Thomas KS, Keohane L, Mor V. Local Medicaid home-and community-based services spending and nursing home admissions of younger adults. American journal of public health. 2014 Nov;104(11):e15–7.CrossRef Thomas KS, Keohane L, Mor V. Local Medicaid home-and community-based services spending and nursing home admissions of younger adults. American journal of public health. 2014 Nov;104(11):e15–7.CrossRef
28.
go back to reference Berkowitz S. A., Hulberg A. C., Standish S., Reznor G., & Atlas S. J. (2017). Addressing unmet basic resource needs as part of chronic cardiometabolic disease management. JAMA internal medicine, 177(2), 244–252.CrossRef Berkowitz S. A., Hulberg A. C., Standish S., Reznor G., & Atlas S. J. (2017). Addressing unmet basic resource needs as part of chronic cardiometabolic disease management. JAMA internal medicine, 177(2), 244–252.CrossRef
29.
go back to reference Phipps EJ, Singletary SB, Cooblall CA, Hares HD, Braitman LE. Food insecurity in patients with high hospital utilization. Population health management. 2016 Dec 1;19(6):414–20.CrossRef Phipps EJ, Singletary SB, Cooblall CA, Hares HD, Braitman LE. Food insecurity in patients with high hospital utilization. Population health management. 2016 Dec 1;19(6):414–20.CrossRef
32.
go back to reference Decety J., & Fotopoulou A. (2015). Why empathy has a beneficial impact on others in medicine: unifying theories. Frontiers in behavioral neuroscience, 8, 457.CrossRef Decety J., & Fotopoulou A. (2015). Why empathy has a beneficial impact on others in medicine: unifying theories. Frontiers in behavioral neuroscience, 8, 457.CrossRef
Metadata
Title
Impact of Social Needs Navigation on Utilization Among High Utilizers in a Large Integrated Health System: a Quasi-experimental Study
Authors
Adam Schickedanz, MD, PhD
Adam Sharp, MD, MS
Yi R. Hu, MS
Nirav R. Shah, MD, MPH
John L. Adams, PhD
Damon Francis, MD
Artair Rogers, MS
Publication date
01-11-2019
Publisher
Springer US
Keyword
Care
Published in
Journal of General Internal Medicine / Issue 11/2019
Print ISSN: 0884-8734
Electronic ISSN: 1525-1497
DOI
https://doi.org/10.1007/s11606-019-05123-2

Other articles of this Issue 11/2019

Journal of General Internal Medicine 11/2019 Go to the issue

Letter to the Editor

Longitudinal Continuity

Letter to the Editor

Longitudinal Continuity

Live Webinar | 27-06-2024 | 18:00 (CEST)

Keynote webinar | Spotlight on medication adherence

Live: Thursday 27th June 2024, 18:00-19:30 (CEST)

WHO estimates that half of all patients worldwide are non-adherent to their prescribed medication. The consequences of poor adherence can be catastrophic, on both the individual and population level.

Join our expert panel to discover why you need to understand the drivers of non-adherence in your patients, and how you can optimize medication adherence in your clinics to drastically improve patient outcomes.

Prof. Kevin Dolgin
Prof. Florian Limbourg
Prof. Anoop Chauhan
Developed by: Springer Medicine
Obesity Clinical Trial Summary

At a glance: The STEP trials

A round-up of the STEP phase 3 clinical trials evaluating semaglutide for weight loss in people with overweight or obesity.

Developed by: Springer Medicine

Highlights from the ACC 2024 Congress

Year in Review: Pediatric cardiology

Watch Dr. Anne Marie Valente present the last year's highlights in pediatric and congenital heart disease in the official ACC.24 Year in Review session.

Year in Review: Pulmonary vascular disease

The last year's highlights in pulmonary vascular disease are presented by Dr. Jane Leopold in this official video from ACC.24.

Year in Review: Valvular heart disease

Watch Prof. William Zoghbi present the last year's highlights in valvular heart disease from the official ACC.24 Year in Review session.

Year in Review: Heart failure and cardiomyopathies

Watch this official video from ACC.24. Dr. Biykem Bozkurt discusses last year's major advances in heart failure and cardiomyopathies.