Alexandra Polovneff, Neemit Shah, Abhishek Janardan, Erika Smith, Ivan Pasillas, Natalie Mortensen, Jeana M Holt, Melek Somai, Rodney Sparapani, Bradley Crotty
{"title":"Scaling care coordination through digital engagement: stepped-wedge trial assessing readmissions.","authors":"Alexandra Polovneff, Neemit Shah, Abhishek Janardan, Erika Smith, Ivan Pasillas, Natalie Mortensen, Jeana M Holt, Melek Somai, Rodney Sparapani, Bradley Crotty","doi":"10.37765/ajmc.2024.89498","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>Transitions of care are pivotal, vulnerable times as patients are discharged from the hospital. Telephonic care coordination is standard care, but labor intensive. We implemented a patient postdischarge digital engagement (PDDE) program to scale coordination. We hypothesized that PDDE could reduce readmissions for low-risk patients and supplement care coordination for medium- and high-risk patients.</p><p><strong>Study design: </strong>Pragmatic, stepped-wedge cluster randomization trial with 5 implementation waves based upon primary care clinic region.</p><p><strong>Methods: </strong>All inpatient hospital discharges between March 2020 and November 2020 were stratified by readmission risk. Low-risk patients were offered access to PDDE, and moderate-risk and high-risk patients were offered access to PDDE and care coordination. Readmission was defined as an unplanned inpatient admission within 30 days from discharge. An intention-to-treat primary analysis was conducted using mixed-effects logistic regression clustering for wave; a treatment-on-the-treated analysis was also conducted to assess the impact among program users.</p><p><strong>Results: </strong>A total of 5490 patient discharges were examined (2735 control; 2755 intervention); 1949 patients were high risk, 2032 were medium risk, and 1509 were low risk. PDDE intervention did not significantly affect readmission among low-risk (95% CI, -0.23 to 0.90; P = .23), medium-risk (95% CI, -0.14 to 0.60; P = .21), and high-risk (95% CI, -0.32 to 0.64; P = .48) groups after adjustment for time and patient factors. In a treatment-on-the-treated analysis, among patients who activated the PDDE program, readmission was also similar among the low-, medium-, and high-risk cohorts.</p><p><strong>Conclusions: </strong>Our study expanded resource-limited care coordination by offering low-risk patients a service they were unable to receive previously while having no impact on readmission. PDDE efficiently provided additional touch points between patients and providers.</p>","PeriodicalId":50808,"journal":{"name":"American Journal of Managed Care","volume":null,"pages":null},"PeriodicalIF":2.5000,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"American Journal of Managed Care","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.37765/ajmc.2024.89498","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0
Abstract
Objectives: Transitions of care are pivotal, vulnerable times as patients are discharged from the hospital. Telephonic care coordination is standard care, but labor intensive. We implemented a patient postdischarge digital engagement (PDDE) program to scale coordination. We hypothesized that PDDE could reduce readmissions for low-risk patients and supplement care coordination for medium- and high-risk patients.
Study design: Pragmatic, stepped-wedge cluster randomization trial with 5 implementation waves based upon primary care clinic region.
Methods: All inpatient hospital discharges between March 2020 and November 2020 were stratified by readmission risk. Low-risk patients were offered access to PDDE, and moderate-risk and high-risk patients were offered access to PDDE and care coordination. Readmission was defined as an unplanned inpatient admission within 30 days from discharge. An intention-to-treat primary analysis was conducted using mixed-effects logistic regression clustering for wave; a treatment-on-the-treated analysis was also conducted to assess the impact among program users.
Results: A total of 5490 patient discharges were examined (2735 control; 2755 intervention); 1949 patients were high risk, 2032 were medium risk, and 1509 were low risk. PDDE intervention did not significantly affect readmission among low-risk (95% CI, -0.23 to 0.90; P = .23), medium-risk (95% CI, -0.14 to 0.60; P = .21), and high-risk (95% CI, -0.32 to 0.64; P = .48) groups after adjustment for time and patient factors. In a treatment-on-the-treated analysis, among patients who activated the PDDE program, readmission was also similar among the low-, medium-, and high-risk cohorts.
Conclusions: Our study expanded resource-limited care coordination by offering low-risk patients a service they were unable to receive previously while having no impact on readmission. PDDE efficiently provided additional touch points between patients and providers.
期刊介绍:
The American Journal of Managed Care is an independent, peer-reviewed publication dedicated to disseminating clinical information to managed care physicians, clinical decision makers, and other healthcare professionals. Its aim is to stimulate scientific communication in the ever-evolving field of managed care. The American Journal of Managed Care addresses a broad range of issues relevant to clinical decision making in a cost-constrained environment and examines the impact of clinical, management, and policy interventions and programs on healthcare and economic outcomes.