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Hospital Readmissions by Variation in Engagement in the Health Care Hotspotting Trial: A Secondary Analysis of a Randomized Clinical Trial

IMPORTANCE: Variability in intervention participation within care management programs can complicate standard analysis strategies. OBJECTIVE: To evaluate whether care management was associated with reduced hospital readmissions among individuals with higher participation probabilities. DESIGN, SETTI...

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Autores principales: Yang, Qiang, Wiest, Dawn, Davis, Anna C., Truchil, Aaron, Adams, John L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10498327/
https://www.ncbi.nlm.nih.gov/pubmed/37698862
http://dx.doi.org/10.1001/jamanetworkopen.2023.32715
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author Yang, Qiang
Wiest, Dawn
Davis, Anna C.
Truchil, Aaron
Adams, John L.
author_facet Yang, Qiang
Wiest, Dawn
Davis, Anna C.
Truchil, Aaron
Adams, John L.
author_sort Yang, Qiang
collection PubMed
description IMPORTANCE: Variability in intervention participation within care management programs can complicate standard analysis strategies. OBJECTIVE: To evaluate whether care management was associated with reduced hospital readmissions among individuals with higher participation probabilities. DESIGN, SETTING, AND PARTICIPANTS: A total of 800 hospitalized patients aged 18 years and older were randomized as part of the Health Care Hotspotting randomized clinical trial, which was conducted in Camden, New Jersey, from June 2014 to September 2017. Data were collected through October 2018. In this new analysis performed between April 6, 2022, and April 23, 2023, the distillation method was applied to account for variable intervention participation. A gradient-boosting machine learning model produced predicted probabilities of engaged participation using baseline covariates only. Predicted probabilities were used to trim both intervention and control populations in an equivalent manner, and intervention effects were reevaluated within study population subsets that were increasingly concentrated with patients having higher participation probabilities. Patients had 2 or more hospitalizations in the 6-month preenrollment period and documented evidence of chronic illness and social complexity. INTERVENTION: Multidisciplinary teams provided services to patients in the intervention arm for a mean 120 days after hospital discharge. Patients in the control group received usual postdischarge care. MAIN OUTCOMES AND MEASURES: Hospital readmission rates and counts 30, 90, and 180 days postdischarge. RESULTS: Of 800 eligible patients, 782 had complete discharge information and were included in this analysis (mean [SD] age, 56.6 [12.7] years; 395 [50.5%] female). In the intent-to-treat analysis, the unadjusted 180-day readmission rate for treatment and control groups was 60.1% vs 61.7% (adjusted odds ratio, 0.95; 95% CI, 0.71-1.28; P = .73) and the mean (SD) number of 180-day readmissions was 1.45 (1.89) vs 1.48 (1.94) (adjusted incidence rate ratio, 0.99, 95% CI, 0.88-1.12; P = .86). Among the population with the highest participation probabilities, the mean (SD) 180-day readmission count was 1.22 (1.74) vs 1.57 (1.74) and the incidence rate ratio attained statistical significance (adjusted incidence rate ratio, 0.74; 95% CI, 0.56-0.99; P = .045). Adjusted odds ratios and adjusted incidence rate ratios for 30- and 90-day outcomes reached statistical significance after population distillation. CONCLUSIONS AND RELEVANCE: This secondary analysis of a randomized clinical trial found that care management was associated with reduced readmissions among patients with higher participation probabilities, suggesting that program operation could be improved by addressing barriers to participation and refining inclusion criteria to identify patients most likely to benefit. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT02090426
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spelling pubmed-104983272023-09-14 Hospital Readmissions by Variation in Engagement in the Health Care Hotspotting Trial: A Secondary Analysis of a Randomized Clinical Trial Yang, Qiang Wiest, Dawn Davis, Anna C. Truchil, Aaron Adams, John L. JAMA Netw Open Original Investigation IMPORTANCE: Variability in intervention participation within care management programs can complicate standard analysis strategies. OBJECTIVE: To evaluate whether care management was associated with reduced hospital readmissions among individuals with higher participation probabilities. DESIGN, SETTING, AND PARTICIPANTS: A total of 800 hospitalized patients aged 18 years and older were randomized as part of the Health Care Hotspotting randomized clinical trial, which was conducted in Camden, New Jersey, from June 2014 to September 2017. Data were collected through October 2018. In this new analysis performed between April 6, 2022, and April 23, 2023, the distillation method was applied to account for variable intervention participation. A gradient-boosting machine learning model produced predicted probabilities of engaged participation using baseline covariates only. Predicted probabilities were used to trim both intervention and control populations in an equivalent manner, and intervention effects were reevaluated within study population subsets that were increasingly concentrated with patients having higher participation probabilities. Patients had 2 or more hospitalizations in the 6-month preenrollment period and documented evidence of chronic illness and social complexity. INTERVENTION: Multidisciplinary teams provided services to patients in the intervention arm for a mean 120 days after hospital discharge. Patients in the control group received usual postdischarge care. MAIN OUTCOMES AND MEASURES: Hospital readmission rates and counts 30, 90, and 180 days postdischarge. RESULTS: Of 800 eligible patients, 782 had complete discharge information and were included in this analysis (mean [SD] age, 56.6 [12.7] years; 395 [50.5%] female). In the intent-to-treat analysis, the unadjusted 180-day readmission rate for treatment and control groups was 60.1% vs 61.7% (adjusted odds ratio, 0.95; 95% CI, 0.71-1.28; P = .73) and the mean (SD) number of 180-day readmissions was 1.45 (1.89) vs 1.48 (1.94) (adjusted incidence rate ratio, 0.99, 95% CI, 0.88-1.12; P = .86). Among the population with the highest participation probabilities, the mean (SD) 180-day readmission count was 1.22 (1.74) vs 1.57 (1.74) and the incidence rate ratio attained statistical significance (adjusted incidence rate ratio, 0.74; 95% CI, 0.56-0.99; P = .045). Adjusted odds ratios and adjusted incidence rate ratios for 30- and 90-day outcomes reached statistical significance after population distillation. CONCLUSIONS AND RELEVANCE: This secondary analysis of a randomized clinical trial found that care management was associated with reduced readmissions among patients with higher participation probabilities, suggesting that program operation could be improved by addressing barriers to participation and refining inclusion criteria to identify patients most likely to benefit. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT02090426 American Medical Association 2023-09-12 /pmc/articles/PMC10498327/ /pubmed/37698862 http://dx.doi.org/10.1001/jamanetworkopen.2023.32715 Text en Copyright 2023 Yang Q et al. JAMA Network Open. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the CC-BY License.
spellingShingle Original Investigation
Yang, Qiang
Wiest, Dawn
Davis, Anna C.
Truchil, Aaron
Adams, John L.
Hospital Readmissions by Variation in Engagement in the Health Care Hotspotting Trial: A Secondary Analysis of a Randomized Clinical Trial
title Hospital Readmissions by Variation in Engagement in the Health Care Hotspotting Trial: A Secondary Analysis of a Randomized Clinical Trial
title_full Hospital Readmissions by Variation in Engagement in the Health Care Hotspotting Trial: A Secondary Analysis of a Randomized Clinical Trial
title_fullStr Hospital Readmissions by Variation in Engagement in the Health Care Hotspotting Trial: A Secondary Analysis of a Randomized Clinical Trial
title_full_unstemmed Hospital Readmissions by Variation in Engagement in the Health Care Hotspotting Trial: A Secondary Analysis of a Randomized Clinical Trial
title_short Hospital Readmissions by Variation in Engagement in the Health Care Hotspotting Trial: A Secondary Analysis of a Randomized Clinical Trial
title_sort hospital readmissions by variation in engagement in the health care hotspotting trial: a secondary analysis of a randomized clinical trial
topic Original Investigation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10498327/
https://www.ncbi.nlm.nih.gov/pubmed/37698862
http://dx.doi.org/10.1001/jamanetworkopen.2023.32715
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