Community Paramedics are Effective at Predicting 30-day Readmission in Heart Failure Patients

Main Article Content

Daniel Johnson, MD
Jessica Mann, MD

Abstract

Objective: Heart failure (HF) patients are at high risk for 30-day hospital readmission which is a negative predictor of patient-centered outcomes. Community paramedicine (CP) has emerged with a goal of reducing readmissions and currently no model exists to accurately predict those at highest risk. We seek to analyze factors associated with readmission among participants in a CP program.


Methods: Design: A retrospective review of consecutive patients with a HF-related diagnosis who received a home visit by a community paramedic after a hospital admission. Setting: A suburban, academic medical center with an established CP program. Inclusion criteria: All patients with a HF-related diagnosis who received a home visit over the study period. Factors including age, sex, hospital length of stay, time to home visit, discharge destination, participation in other transitional care/home health programs, chronicity of heart failure, care team, and perceived risk of readmission by the community paramedics at the time of home visit were retrospectively reviewed and analyzed. The outcome of interest was 30-day, all-cause readmissions.


Results: From 4/7/2017 to 4/6/2018 there were 592 patients who received home visits. The median age was 70 [IQR 60-79] and 41.9% were female. The overall 30-day readmission rate was 11%. For readmitted patients, the median time to home visit was 6 days [IQR 4-11] versus 10 days [IQR 5-23] for those not readmitted (p=<0.01). Patients deemed to be at risk for readmission by the community paramedics were readmitted more often than those who were not (OR 2.68, 95% CI [1.59-4.52]).


Conclusion: Along with time to home visit, perceived risk of 30-day readmission at the time of a home visit by a community paramedic correlated with rates of readmission. In the HF population, comprehensive models to predict 30-day readmission might be improved by including a subjective assessment by a trained clinician.

Article Details

How to Cite
Johnson, D., & Mann, J. (2025). Community Paramedics are Effective at Predicting 30-day Readmission in Heart Failure Patients. International Journal of Paramedicine, (12), 123–130. https://doi.org/10.56068/ZKHG6194
Section
Research Reports

References

Burnett, A., Wewerka, S., Miller, P., Majerus, A., Clark, J., Crippes, L., & Radant, T. (2023). Community paramedicine intervention reduces hospital readmission and emergency department utilization for patients with cardiopulmonary conditions. The Western Journal of Emergency Medicine, 24(4), 786-792. https://doi.org/10.5811/westjem.57862

Burnett, S. J., Stemerman, R., Innes, J. C., Kaisler, M. C., Crowe, R. P., & Clemency, B. M. (2023). Social determinants of health in EMS records: A mixed-methods analysis using natural language processing and qualitative content analysis. The Western Journal of Emergency Medicine, 24(5), 878-887. https://doi.org/10.5811/westjem.59070

Chamberlain, R. S., Sond, J., Mahendraraj, K., Lau, C. S., & Siracuse, B. L. (2018). Determining 30-day readmission risk for heart failure patients: The Readmission After Heart Failure scale. International Journal of General Medicine, 11, 127-141. https://doi.org/10.2147/ijgm.S150676

Chan, J., Griffith, L. E., Costa, A. P., Leyenaar, M. S., & Agarwal, G. (2019). Community paramedicine: A systematic review of program descriptions and training. Canadian Journal of Emergency Medicine, 21(6), 749-761. https://doi.org/10.1017/cem.2019.14

Emdin, M., Aimo, A., Vergaro, G., & Passino, C. (2017). Predicting readmissions after hospitalization for heart failure: Medical reasoning vs calculators. International Journal of Cardiology, 236, 348-349. https://doi.org/10.1016/j.ijcard.2017.03.045

Fernandez-Gasso, L., Hernando-Arizaleta, L., Palomar-Rodriguez, J. A., Abellan-Perez, M. V., & Pascual-Figal, D. A. (2017). Trends, causes and timing of 30-day readmissions after hospitalization for heart failure: 11-year population-based analysis with linked data. International Journal of Cardiology, 248, 246-251. https://doi.org/10.1016/j.ijcard.2017.07.094

Huynh, Q. L., Negishi, K., Blizzard, L., Sanderson, K., Venn, A. J., & Marwick, T. H. (2016). Predictive Score for 30-Day Readmission or Death in Heart Failure. JAMA Cardiology, 1(3), 362-364. https://doi.org/10.1001/jamacardio.2016.0220

Ibrahim, A. M., Koester, C., Al-Akchar, M., Tandan, N., Regmi, M., Bhattarai, M., Al-Bast, B., Kulkarni, A., & Robinson, R. (2020). HOSPITAL Score, LACE Index and LACE+ Index as predictors of 30-day readmission in patients with heart failure. BMJ Evidence Based Medicine, 25(5), 166-167. https://doi.org/10.1136/bmjebm-2019-111271

Kansagara, D., Englander, H., Salanitro, A., Kagen, D., Theobald, C., Freeman, M., & Kripalani, S. (2011). Risk prediction models for hospital readmission: A systematic review. JAMA, 306(15), 1688-1698. https://doi.org/10.1001/jama.2011.1515

Khan, M. S., Sreenivasan, J., Lateef, N., Abougergi, M. S., Greene, S. J., Ahmad, T., Anker, S. D., Fonarow, G. C., & Butler, J. (2021). Trends in 30- and 90-day readmission rates for heart failure. Circulation: Heart Failure, 14(4), e008335. https://doi.org/10.1161/CIRCHEARTFAILURE.121.008335

Kimmoun, A., Takagi, K., Gall, E., Ishihara, S., Hammoum, P., El Beze, N., Bourgeois, A., Chassard, G., Pegorer-Sfes, H., Gayat, E., Solal, A. C., Hollinger, A., Merkling, T., Mebazaa, A., & Team, M. (2021). Temporal trends in mortality and readmission after acute heart failure: A systematic review and meta-regression in the past four decades. European Journal of Heart Failure, 23(3), 420-431. https://doi.org/10.1002/ejhf.2103

Kwok, C. S., Abramov, D., Parwani, P., Ghosh, R. K., Kittleson, M., Ahmad, F. Z., Al Ayoubi, F., Van Spall, H. G. C., & Mamas, M. A. (2021). Cost of inpatient heart failure care and 30-day readmissions in the United States. International Journal of Cardiology, 329, 115-122. https://doi.org/10.1016/j.ijcard.2020.12.020

McCullough, P. A., Philbin, E. F., Spertus, J. A., Kaatz, S., Sandberg, K. R., Weaver, W. D., & Resource Utilization Among Congestive Heart Failure, S. (2002). Confirmation of a heart failure epidemic: Findings from the Resource Utilization Among Congestive Heart Failure (REACH) study. Journal of the American College of Cardiology, 39(1), 60-69. https://doi.org/10.1016/s0735-1097(01)01700-4

Misky, G. J., Wald, H. L., & Coleman, E. A. (2010). Post-hospitalization transitions: Examining the effects of timing of primary care provider follow-up. Journal of Hospital Medicine, 5(7), 392-397. https://doi.org/https://doi.org/10.1002/jhm.666

Misra-Hebert, A. D., Rothberg, M. B., Fox, J., Ji, X., Hu, B., Milinovich, A., Zafirau, W., Onuzuruike, A., & Stange, K. C. (2021). Healthcare utilization and patient and provider experience with a home visit program for patients discharged from the hospital at high risk for readmission. Healthcare, 9(1), 100518. https://doi.org/https://doi.org/10.1016/j.hjdsi.2020.100518

Naimi, S., Stryckman, B., Liang, Y., Seidl, K., Harris, E., Landi, C., Thomas, J., Marcozzi, D., & Gingold, D. B. (2023). Evaluating social determinants of health in a mobile integrated healthcare-community paramedicine program. Journal of Community Health, 48(1), 79-88. https://doi.org/10.1007/s10900-022-01148-7

Parizo, J. T., Kohsaka, S., Sandhu, A. T., Patel, J., & Heidenreich, P. A. (2020). Trends in readmission and mortality rates following heart failure hospitalization in the Veterans Affairs health care system from 2007 to 2017. JAMA Cardiology, 5(9), 1042-1047. https://doi.org/10.1001/jamacardio.2020.2028

Philbin, E. F., & DiSalvo, T. G. (1999). Prediction of hospital readmission for heart failure: Development of a simple risk score based on administrative data. Journal of the American College of Cardiology, 33(6), 1560-1566. https://doi.org/10.1016/s0735-1097(99)00059-5

Saito, M., Negishi, K., & Marwick, T. H. (2016). Meta-analysis of risks for short-term readmission in patients with heart failure. American Journal of Cardiology, 117(4), 626-632. https://doi.org/10.1016/j.amjcard.2015.11.048

Severson, S., Fink, A., McCoy, R., Liedl, C., Bieber, P., Juntunen, M., Chen, H., & Lin, G. (2023). Community paramedic home care program for acute decompensated heart failure: A pilot study. Circulation: Cardiovascular Quality and Outcomes, 16(9), e009142. https://doi.org/10.1161/CIRCOUTCOMES.122.009142

Six, A. J., Backus, B. E., & Kelder, J. C. (2008). Chest pain in the emergency room: value of the HEART score. Netherlands Heart Journal, 16(6), 191-196. https://doi.org/10.1007/bf03086144

Slatyer, S., Aoun, S. M., Hill, K. D., Walsh, D., Whitty, D., & Toye, C. (2019). Caregivers’ experiences of a home support program after the hospital discharge of an older family member: A qualitative analysis. BMC Health Services Research, 19, 1-10.

Townshend, R., Grondin, C., Gupta, A., & Al-Khafaji, J. (2023). Assessment of patient retention of inpatient care information post-hospitalization. The Joint Commission Journal on Quality and Patient Safety, 49(2), 70-78. https://doi.org/https://doi.org/10.1016/j.jcjq.2022.11.002

Wells, P. S., Anderson, D. R., Rodger, M., Stiell, I., Dreyer, J. F., Barnes, D., Forgie, M., Kovacs, G., Ward, J., & Kovacs, M. J. (2001). Excluding pulmonary embolism at the bedside without diagnostic imaging: Management of patients with suspected pulmonary embolism presenting to the emergency department by using a simple clinical model and d-dimer. Annals of Internal Medicine, 135(2), 98-107. https://doi.org/10.7326/0003-4819-135-2-200107170-00010