Skip to main content
Top

30-04-2024 | Review

Can prediction models for hospital readmission be improved by incorporating patient-reported outcome measures? A systematic review and narrative synthesis

Auteurs: Maggie Yu, Mark Harrison, Nick Bansback

Gepubliceerd in: Quality of Life Research

Log in om toegang te krijgen
share
DELEN

Deel dit onderdeel of sectie (kopieer de link)

  • Optie A:
    Klik op de rechtermuisknop op de link en selecteer de optie “linkadres kopiëren”
  • Optie B:
    Deel de link per e-mail

Abstract

Purpose

To investigate the roles, challenges, and implications of using patient-reported outcome measures (PROMs) in predicting the risk of hospital readmissions.

Methods

We systematically searched four bibliometric databases for peer-reviewed studies published in English between 1 January 2000 and 15 June 2023 and used validated PROMs to predict readmission risks for adult populations. Reported studies were analysed and narratively synthesised in accordance with the CHARMS and PRISMA guidelines.

Results

Of the 2858 abstracts reviewed, 23 studies met predefined eligibility criteria, representing diverse geographic regions and medical specialties. Among those, 19 identified the positive contributions of PROMs in predicting readmission risks. Seven studies utilised generic PROMs exclusively, eleven used generic and condition-specific PROMs, while 5 focussed solely on condition-specific PROMs. Logistic regression was the most used modelling approach, with 13 studies aiming at predicting 30-day all-cause readmission risks. The c-statistic, ranging from 0.54 to 0.84, was reported in 22/23 studies as a measure of model discrimination. Nine studies reported model calibration in addition to c-statistic. Thirteen studies detailed their approaches to dealing with missing data.

Conclusion

Our study highlights the potential of PROMs to enhance predictive accuracy in readmission models, while acknowledging the diversity in data collection methods, readmission definitions, and model evaluation approaches. Recognizing that PROMs serve various purposes beyond readmission reduction, our study supports routine data collection and strategic integration of PROMs in healthcare practices to improve patient outcomes. To facilitate comparative analysis and broaden the use of PROMs in the prediction framework, it is imperative to consider the methodological aspects involved.
Bijlagen
Alleen toegankelijk voor geautoriseerde gebruikers
Literatuur
5.
8.
go back to reference Staples, J. A., Wiksyk, B., Liu, G., Desai, S., van Walraven, C., & Sutherland, J. M. (2021). External validation of the modified LACE+, LACE+, and LACE scores to predict readmission or death after hospital discharge. Journal of evaluation in clinical practice, 27(6), 1390–1397. https://doi.org/10.1111/jep.13579CrossRefPubMed Staples, J. A., Wiksyk, B., Liu, G., Desai, S., van Walraven, C., & Sutherland, J. M. (2021). External validation of the modified LACE+, LACE+, and LACE scores to predict readmission or death after hospital discharge. Journal of evaluation in clinical practice, 27(6), 1390–1397. https://​doi.​org/​10.​1111/​jep.​13579CrossRefPubMed
10.
go back to reference Johnston, B. C., Patrick, D. L., Devji, T., Maxwell, L. J., Bingham, III C. O., Beaton, D., Boers, M., Briel, M., Busse, J. W., Carrasco-Labra, A., Christensen, R., da Costa, B. R., El Dib, R., Lyddiatt, A., Ostelo, R. W., Shea, B., Singh, J., Terwee, C. B., Williamson, P. R., Gagnier, J. J., Tugwell, P., Guyatt, G. H. Chapter 18: Patient-reported outcomes. In Higgins, J. P. T., Thomas, J., Chandler, J., Cumpston, M., Li, T., Page, M. J., Welch, V. A. (editors). Cochrane Handbook for Systematic Reviews of Interventions version 6.4 (updated August 2023). Cochrane, 2023. Available from www.training.cochrane.org/handbook. Johnston, B. C., Patrick, D. L., Devji, T., Maxwell, L. J., Bingham, III C. O., Beaton, D., Boers, M., Briel, M., Busse, J. W., Carrasco-Labra, A., Christensen, R., da Costa, B. R., El Dib, R., Lyddiatt, A., Ostelo, R. W., Shea, B., Singh, J., Terwee, C. B., Williamson, P. R., Gagnier, J. J., Tugwell, P., Guyatt, G. H. Chapter 18: Patient-reported outcomes. In Higgins, J. P. T., Thomas, J., Chandler, J., Cumpston, M., Li, T., Page, M. J., Welch, V. A. (editors). Cochrane Handbook for Systematic Reviews of Interventions version 6.4 (updated August 2023). Cochrane, 2023. Available from www.​training.​cochrane.​org/​handbook.
14.
go back to reference Prinsen, C. A. C., Mokkink, L. B., Bouter, L. M., Alonso, J., Patrick, D. L., de Vet, H. C. W., & Terwee, C. B. (2018). COSMIN guideline for systematic reviews of patient-reported outcome measures. Quality of Life Research : An International Journal of Quality of Life Aspects of Treatment, Care and Rehabilitation, 27(5), 1147–1157. https://doi.org/10.1007/s11136-018-1798-3CrossRefPubMed Prinsen, C. A. C., Mokkink, L. B., Bouter, L. M., Alonso, J., Patrick, D. L., de Vet, H. C. W., & Terwee, C. B. (2018). COSMIN guideline for systematic reviews of patient-reported outcome measures. Quality of Life Research : An International Journal of Quality of Life Aspects of Treatment, Care and Rehabilitation, 27(5), 1147–1157. https://​doi.​org/​10.​1007/​s11136-018-1798-3CrossRefPubMed
19.
go back to reference Cromhout, P. F., Thygesen, L. C., Moons, P., Nashef, S., Damgaard, S., Christensen, A. V., Rasmussen, T. B., Borregaard, B., Thrysoee, L., Thorup, C. B., Mols, R. E., Juel, K., & Berg, S. K. (2021). Supplementing prediction by EuroSCORE with social and patient-reported measures among patients undergoing cardiac surgery. Journal of Cardiac Surgery, 36(2), 509–521. https://doi.org/10.1111/jocs.15227CrossRefPubMed Cromhout, P. F., Thygesen, L. C., Moons, P., Nashef, S., Damgaard, S., Christensen, A. V., Rasmussen, T. B., Borregaard, B., Thrysoee, L., Thorup, C. B., Mols, R. E., Juel, K., & Berg, S. K. (2021). Supplementing prediction by EuroSCORE with social and patient-reported measures among patients undergoing cardiac surgery. Journal of Cardiac Surgery, 36(2), 509–521. https://​doi.​org/​10.​1111/​jocs.​15227CrossRefPubMed
20.
22.
go back to reference Kartha, A., Anthony, D., Manasseh, C. S., Greenwald, J. L., Chetty, V. K., Burgess, J. F., Culpepper, L., & Jack, B. W. (2007). Depression is a risk factor for rehospitalization in medical inpatients. Primary Care Companion to The Journal of Clinical Psychiatry, 9(4), 256–262.CrossRefPubMedPubMedCentral Kartha, A., Anthony, D., Manasseh, C. S., Greenwald, J. L., Chetty, V. K., Burgess, J. F., Culpepper, L., & Jack, B. W. (2007). Depression is a risk factor for rehospitalization in medical inpatients. Primary Care Companion to The Journal of Clinical Psychiatry, 9(4), 256–262.CrossRefPubMedPubMedCentral
24.
go back to reference Pellisé, F., Serra-Burriel, M., Smith, J. S., Haddad, S., Kelly, M. P., Vila-Casademunt, A., Pérez-Grueso, F. J. S., Bess, S., Gum, J. L., Burton, D. C., Acaroğlu, E., Kleinstück, F., Lafage, V., Obeid, I., Schwab, F., Shaffrey, C. I., Alanay, A., & Ames, C. (2019). Development and validation of risk stratification models for adult spinal deformity surgery. Journal of Neurosurgery: Spine, 31(4), 587–599. https://doi.org/10.3171/2019.3.SPINE181452CrossRef Pellisé, F., Serra-Burriel, M., Smith, J. S., Haddad, S., Kelly, M. P., Vila-Casademunt, A., Pérez-Grueso, F. J. S., Bess, S., Gum, J. L., Burton, D. C., Acaroğlu, E., Kleinstück, F., Lafage, V., Obeid, I., Schwab, F., Shaffrey, C. I., Alanay, A., & Ames, C. (2019). Development and validation of risk stratification models for adult spinal deformity surgery. Journal of Neurosurgery: Spine, 31(4), 587–599. https://​doi.​org/​10.​3171/​2019.​3.​SPINE181452CrossRef
26.
go back to reference Wondra, J. P., Kelly, M. P., Greenberg, J., Yanik, E. L., Ames, C. P., Pellise, F., Vila-Casademunt, A., Smith, J. S., Bess, S., Shaffrey, C. I., Lenke, L. G., Serra-Burriel, M., & Bridwell, K. H. (2023). Validation of adult spinal deformity surgical outcome prediction tools in adult symptomatic lumbar scoliosis. Spine, 48(1), 21–28. https://doi.org/10.1097/BRS.0000000000004416CrossRefPubMed Wondra, J. P., Kelly, M. P., Greenberg, J., Yanik, E. L., Ames, C. P., Pellise, F., Vila-Casademunt, A., Smith, J. S., Bess, S., Shaffrey, C. I., Lenke, L. G., Serra-Burriel, M., & Bridwell, K. H. (2023). Validation of adult spinal deformity surgical outcome prediction tools in adult symptomatic lumbar scoliosis. Spine, 48(1), 21–28. https://​doi.​org/​10.​1097/​BRS.​0000000000004416​CrossRefPubMed
28.
go back to reference Borkenhagen, L. S., McCoy, R. G., Havyer, R. D., Peterson, S. M., Naessens, J. M., & Takahashi, P. Y. (2018). Symptoms reported by frail elderly adults independently predict 30-day hospital readmission or emergency department care. Journal of the American Geriatrics Society, 66(2), 321–326. https://doi.org/10.1111/jgs.15221CrossRefPubMed Borkenhagen, L. S., McCoy, R. G., Havyer, R. D., Peterson, S. M., Naessens, J. M., & Takahashi, P. Y. (2018). Symptoms reported by frail elderly adults independently predict 30-day hospital readmission or emergency department care. Journal of the American Geriatrics Society, 66(2), 321–326. https://​doi.​org/​10.​1111/​jgs.​15221CrossRefPubMed
34.
go back to reference Zai, A. H., Ronquillo, J. G., Nieves, R., Chueh, H. C., Jethwani, K., & Kvedar, J. C. (2013). Assessing hospital readmission risk factors in heart failure patients enrolled in a telemonitoring program. International Journal of Telemedicine and Applications, 2013, e305819. https://doi.org/10.1155/2013/305819CrossRef Zai, A. H., Ronquillo, J. G., Nieves, R., Chueh, H. C., Jethwani, K., & Kvedar, J. C. (2013). Assessing hospital readmission risk factors in heart failure patients enrolled in a telemonitoring program. International Journal of Telemedicine and Applications, 2013, e305819. https://​doi.​org/​10.​1155/​2013/​305819CrossRef
35.
go back to reference Fan, V. S., Ramsey, S. D., Make, B. J., & Martinez, F. J. (2007). Physiologic variables and functional status independently predict COPD hospitalizations and emergency department visits in patients with severe COPD. COPD Journal of Chronic Obstructive Pulmonary Disease, 4(1), 29–39.CrossRefPubMed Fan, V. S., Ramsey, S. D., Make, B. J., & Martinez, F. J. (2007). Physiologic variables and functional status independently predict COPD hospitalizations and emergency department visits in patients with severe COPD. COPD Journal of Chronic Obstructive Pulmonary Disease, 4(1), 29–39.CrossRefPubMed
36.
go back to reference Noel, C. W., Sutradhar, R., Gotlib Conn, L., Forner, D., Chan, W. C., Fu, R., Hallet, J., Coburn, N. G., & Eskander, A. (2022). Development and validation of a machine learning algorithm predicting emergency department use and unplanned hospitalization in patients with head and neck cancer. JAMA Otolaryngology-Head & Neck Surgery, 148(8), 764. https://doi.org/10.1001/jamaoto.2022.1629CrossRef Noel, C. W., Sutradhar, R., Gotlib Conn, L., Forner, D., Chan, W. C., Fu, R., Hallet, J., Coburn, N. G., & Eskander, A. (2022). Development and validation of a machine learning algorithm predicting emergency department use and unplanned hospitalization in patients with head and neck cancer. JAMA Otolaryngology-Head & Neck Surgery, 148(8), 764. https://​doi.​org/​10.​1001/​jamaoto.​2022.​1629CrossRef
39.
go back to reference Peterson, D. J., Ostberg, N. P., Blayney, D. W., Brooks, J. D., & Hernandez-Boussard, T. (2021). Machine learning applied to electronic health records: Identification of chemotherapy patients at high risk for preventable emergency department visits and hospital admissions. JCO Clinical Cancer Informatics, 5, 1106–1126. https://doi.org/10.1200/CCI.21.00116CrossRefPubMed Peterson, D. J., Ostberg, N. P., Blayney, D. W., Brooks, J. D., & Hernandez-Boussard, T. (2021). Machine learning applied to electronic health records: Identification of chemotherapy patients at high risk for preventable emergency department visits and hospital admissions. JCO Clinical Cancer Informatics, 5, 1106–1126. https://​doi.​org/​10.​1200/​CCI.​21.​00116CrossRefPubMed
42.
go back to reference Churruca, K., Pomare, C., Ellis, L. A., Long, J. C., Henderson, S. B., Murphy, L. E. D., Leahy, C. J., & Braithwaite, J. (2021). Patient-reported outcome measures (PROMs): A review of generic and condition-specific measures and a discussion of trends and issues. Health Expectations : An International Journal of Public Participation in Health Care and Health Policy, 24(4), 1015–1024. https://doi.org/10.1111/hex.13254CrossRefPubMed Churruca, K., Pomare, C., Ellis, L. A., Long, J. C., Henderson, S. B., Murphy, L. E. D., Leahy, C. J., & Braithwaite, J. (2021). Patient-reported outcome measures (PROMs): A review of generic and condition-specific measures and a discussion of trends and issues. Health Expectations : An International Journal of Public Participation in Health Care and Health Policy, 24(4), 1015–1024. https://​doi.​org/​10.​1111/​hex.​13254CrossRefPubMed
44.
go back to reference De Ruysscher, D., Faivre-Finn, C., Moeller, D., Nestle, U., Hurkmans, C. W., Le Péchoux, C., Belderbos, J., Guckenberger, M., Senan, S., & Lung Group and the Radiation Oncology Group of the European Organization for Research and Treatment of Cancer (EORTC). (2017). European organization for research and treatment of cancer (EORTC) recommendations for planning and delivery of high-dose, high precision radiotherapy for lung cancer. Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology, 124(1), 1–10. https://doi.org/10.1016/j.radonc.2017.06.003CrossRef De Ruysscher, D., Faivre-Finn, C., Moeller, D., Nestle, U., Hurkmans, C. W., Le Péchoux, C., Belderbos, J., Guckenberger, M., Senan, S., & Lung Group and the Radiation Oncology Group of the European Organization for Research and Treatment of Cancer (EORTC). (2017). European organization for research and treatment of cancer (EORTC) recommendations for planning and delivery of high-dose, high precision radiotherapy for lung cancer. Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology, 124(1), 1–10. https://​doi.​org/​10.​1016/​j.​radonc.​2017.​06.​003CrossRef
45.
go back to reference Bristowe, K., Murtagh, F. E. M., Clift, P., James, R., Josh, J., Platt, M., Whetham, J., Nixon, E., Post, F. A., McQuillan, K., Cheallaigh, C. N., Kall, M., Anderson, J., Sullivan, A. K., & Harding, R. (2020). The development and cognitive testing of the positive outcomes HIV PROM: A brief novel patient-reported outcome measure for adults living with HIV. Health and Quality of Life Outcomes, 18(1), 214. https://doi.org/10.1186/s12955-020-01462-5CrossRefPubMedPubMedCentral Bristowe, K., Murtagh, F. E. M., Clift, P., James, R., Josh, J., Platt, M., Whetham, J., Nixon, E., Post, F. A., McQuillan, K., Cheallaigh, C. N., Kall, M., Anderson, J., Sullivan, A. K., & Harding, R. (2020). The development and cognitive testing of the positive outcomes HIV PROM: A brief novel patient-reported outcome measure for adults living with HIV. Health and Quality of Life Outcomes, 18(1), 214. https://​doi.​org/​10.​1186/​s12955-020-01462-5CrossRefPubMedPubMedCentral
46.
go back to reference Fayers, P. M., & Machin, D. (2013). Quality of life: the assessment, analysis and interpretation of patient-reported outcomes. John wiley & sons. Fayers, P. M., & Machin, D. (2013). Quality of life: the assessment, analysis and interpretation of patient-reported outcomes. John wiley & sons.
55.
go back to reference Tew, M., Dalziel, K., Clarke, P., Smith, A., Choong, P. F., & Dowsey, M. (2020). Patient-reported outcome measures (PROMs): Can they be used to guide patient-centered care and optimize outcomes in total knee replacement? Quality of Life Research : An International Journal of Quality of Life Aspects of Treatment, Care and Rehabilitation, 29(12), 3273–3283. https://doi.org/10.1007/s11136-020-02577-4CrossRefPubMed Tew, M., Dalziel, K., Clarke, P., Smith, A., Choong, P. F., & Dowsey, M. (2020). Patient-reported outcome measures (PROMs): Can they be used to guide patient-centered care and optimize outcomes in total knee replacement? Quality of Life Research : An International Journal of Quality of Life Aspects of Treatment, Care and Rehabilitation, 29(12), 3273–3283. https://​doi.​org/​10.​1007/​s11136-020-02577-4CrossRefPubMed
61.
go back to reference Shin, S., Austin, P. C., Ross, H. J., Abdel-Qadir, H., Freitas, C., Tomlinson, G., Chicco, D., Mahendiran, M., Lawler, P. R., Billia, F., Gramolini, A., Epelman, S., Wang, B., & Lee, D. S. (2021). Machine learning vs. conventional statistical models for predicting heart failure readmission and mortality. ESC Heart Failure, 8(1), 106–115. https://doi.org/10.1002/ehf2.13073CrossRefPubMed Shin, S., Austin, P. C., Ross, H. J., Abdel-Qadir, H., Freitas, C., Tomlinson, G., Chicco, D., Mahendiran, M., Lawler, P. R., Billia, F., Gramolini, A., Epelman, S., Wang, B., & Lee, D. S. (2021). Machine learning vs. conventional statistical models for predicting heart failure readmission and mortality. ESC Heart Failure, 8(1), 106–115. https://​doi.​org/​10.​1002/​ehf2.​13073CrossRefPubMed
Metagegevens
Titel
Can prediction models for hospital readmission be improved by incorporating patient-reported outcome measures? A systematic review and narrative synthesis
Auteurs
Maggie Yu
Mark Harrison
Nick Bansback
Publicatiedatum
30-04-2024
Uitgeverij
Springer International Publishing
Gepubliceerd in
Quality of Life Research
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-024-03638-8