Frailty and In-Hospital Mortality Risk Using EHR Nursing Data

Adebusoye, L. A., Cadmus, E. O., Owolabi, M. O., Ogunniyi, A (2019). Frailty and mortality among older patients in a tertiary hospital in Nigeria. Ghana Medical Journal, 53(3), 210–216. https://doi.org/10.4314/gmj.v53i3.5.
Google Scholar | Crossref | Medline American Nurses Association . (2021). Nursing: Scope and standards of practice, 4th Ed. ANA. ISBN #: 978099308868.
Google Scholar Apóstolo, J., Cooke, R., Bobrowicz-Campos, E., Santana, S., Marcucci, M., Cano, A., Vollenbroek-Hutten, M., Germini, F., Holland, C (2017). Predicting risk and outcomes for frail older adults: An umbrella review of frailty screening tools. JBI Database of Systematic Reviews and Implementation Reports, 15(4), 1154–1208. https://doi.org/10.11124/JBISRIR-2016-003018.
Google Scholar | Crossref | Medline Baker, S. G., Schuit, E., Steyerberg, E. W., Pencina, M. J., Vickers, A., Vickers, A., Moons, K. G. M., Mol, B. W. J., Lindeman, K. S (2014). How to interpret a small increase in AUC with an additional risk prediction marker: Decision analysis comes through. Statistics in Medicine, 33(22), 3946–3959. https://doi.org/10.1002/sim.6195.
Google Scholar | Crossref | Medline Belga, S., Majumdar, S. R., Kahlon, S., Pederson, J., Lau, D., Padwal, R. S., Forhan, M., McAlister (2016). Comparing three different measures of frailty in medical inpatients: Multicenter prospective cohort study examining 30-day risk of readmission or death. Journal of Hospital Medicine, 11(8), 556–562. https://doi.org/10.1002/jhm.2607.
Google Scholar | Crossref | Medline Belloni, G., Cesari, M. (2019). Frailty and intrinsic capacity: Two distinct but related constructs. Frontiers in Medicine, 6(133), 128–135. https://doi.org/10.3389/fmed.2019.00133.
Google Scholar | Medline Bujang, M. A., Adnan, T. H (2016). Requirements for minimum sample size for sensitivity and specificity analysis. Journal of Clinical and Diagnostic Research, 10(10), YE01–YE06. https://doi.org/10.7860/JCDR/2016/18129.8744.
Google Scholar | Medline Burde, H (2011). Health Law the hitech act-an overview. Virtual Mentor, 13(3), 172-175. https://doi.org/10.1001/virtualmentor.2011.13.3.hlaw1-1103.
Google Scholar | Medline Buta, B. J., Walston, J. D., Godino, J. G., Park, M., Kalyani, R. R., Xue, Q. L., Bandeen-Roche, K., Varadhan, R (2016). Frailty assessment instruments: Systematic characterization of the uses and contexts of highly-cited instruments. Ageing Research Review, 26, 53-61. https://doi.org/10.1016/j.arr.2015.12.003.
Google Scholar | Crossref | Medline | ISI By the 2019 American Geriatrics Society Beers Criteria® Update Expert Panel (2019). American Geriatrics Society 2019 updated AGS Beers criteria® for potentially inappropriate medication use in older adults. Journal of the American Geriatrics Society, 67(4), 674-694. https://doi.org/10.1111/jgs.15767.
Google Scholar | Crossref | Medline Centers for Medicare and Medicaid Services (2020). Outcome measures. https://www.cms.gov/Medicare/Quality-Initiatives-Patient-Assessment-Instruments/HospitalQualityInits/OutcomeMeasures.
Google Scholar Cesari, M., Calvani, R., Marzetti, E (2017). Frailty in older persons. Clinics in Geriatric Medicine, 33(3), 293-303. https://doi.org/10.1016/j.cger.2017.02.002.
Google Scholar | Crossref | Medline Chong, E., Ho, E., Baldevarona-Llego, J., Chan, M., Wu, L., Tay, L., Ding, Y. Y., Lim, W.S (2018). Frailty in hospitalized older adults: Comparing different frailty measures in predicting short- and long-term patient outcomes. Journal of the American Medical Directors Association, 19(5), 450-457. https://doi.org/10.1016/j.jamda.2017.10.006.
Google Scholar | Crossref | Medline Cohen, S. M., Lekan, D., Risoli, T., Lee, H. J., Misono, S., Whitson, H. E., Raman, S (2020). Association between dysphagia and inpatient outcomes across frailty level among patients ≥ 50 years of age. Dysphagia, 35(5), 787-797. https://doi.org/10.1007/s00455-019-10084-z.
Google Scholar | Crossref | Medline Collins, S., Couture, B., Kang, M. J., Dykes, P., Schnock, K., Knaplund, C., Chang, F., Cato, K (2018). Quantifying and visualizing nursing flowsheet documentation burden in acute and critical care. AMIA... Annual Symposium Proceedings. AMIA Symposium, 2018, 348-357.
Google Scholar | Medline Cruz-Jentoft, A. J., Woo, J. (2019). Nutritional interventions to prevent and treat frailty. Current Opinion in Clinical Nutrition and Metabolic Care, 22(3), 191-195. https://doi.org/10.1097/MCO.0000000000000556.
Google Scholar | Crossref | Medline Cunha, A. I. L., Veronese, N., de Melo Borges, S., Ricci, NA (2019). Frailty as a predictor of adverse outcomes in hospitalized older adults: A systematic review and meta-analysis. Ageing Research Review, 56, 100960. https://doi.org/10.1016/j.arr.2019.100960.
Google Scholar | Crossref | Medline Elixhauser, A., Claudia Steiner, C., Harris, D. R., Coffey, R. M (1998). Comorbidity measures for use with administrative data. Medical Care, 36(1), 8-27.
Google Scholar | Crossref | Medline | ISI Ellis, H. L., Wan, B., Yeung, M., Rather, A., Mannan, I., Bond, C., Harvey, C., Raja, N., Dutey-Magni, P., Rockwood, K., Davis, D., Searle, S. D (2020). Complementing chronic frailty assessment at hospital admission with an electronic frailty index (FI-Laboratory) comprising routine blood test results. CMAJ, 192(1), E3-E8. https://doi.org/10.1503/cmaj.190952.
Google Scholar | Crossref | Medline Gilbert, T., Neuburger, J., Kraindler, J., Keeble, E., Smith, P., Ariti, C., Arora, S., Street, A., Parker, S., Roberts, H. C., Bardsley, M., Conroy, S (2018). Development and validation of a hospital frailty risk score focusing on older people in acute care settings using electronic hospital records: An observational study. Lancet, 39, 1775-1782. https://doi.org/10.1016/S0140-6736(18)30668-8.
Google Scholar | Crossref Giron, M. S. T., Cortes-Maramba, N. P (2020). Appropriateness of medication prescribing in hospitalized older adults in a tertiary teaching hospital in the Philippines: A cross-sectional study. Drugs-Real World Outcomes, 7(3), 213-219. https://doi.org/10.1007/s40801-020-00202-x.
Google Scholar | Crossref | Medline Goldstein, B. A., Navar, A. M., Pencina, M. J., Ioannidis, J. P (2017). Opportunities and challenges in developing risk prediction models with electronic health records data: A systematic review. Journal of the American Medical Informatics Association, 24(1), 198-208. https://doi.org/10.1093/jamia/ocw042.
Google Scholar | Crossref | Medline Guo, C., So, Y., Jang, W (2017). Available at. Evaluating predictive accuracy of survival models with PROC PHREG. Proceedings of the SAS Global Forum 2017 Conference. Cary, NC: SAS Institute. https://support.sas.com/resources/papers/proceedings17/SAS0462-2017.pdf.
Google Scholar Gutiérrez-Valencia, M., Izquierdo, M., Cesari, M., Casas-Herrero, Á., Inzitari, M., Martínez-Velilla, N (2018). The relationship between frailty and polypharmacy in older people: A systematic review. British Journal of Clinical Pharmacology, 84(7), 1432-1444. https://doi.org/10.1111/bcp.13590.
Google Scholar | Crossref | Medline Hajian-Tilaki, K (2014). Sample size estimation in diagnostic test studies of biomedical informatics. Journal of Biomedical Informatics, 48, 193-204. https://doi.org/10.1016/j.jbi.2014.02.013.
Google Scholar | Crossref | Medline | ISI Hau, Q., Zhou, L., Dong, B., Yang, M., Dong, B., Weil, Y. (2019). The role of frailty in predicting mortality and readmission in older adults in acute care wards: A prospective study. Scientific Reports, 9, 1207. https://doi.org/10.1038/s41598-018-38072-7.
Google Scholar | Crossref | Medline Herr, M., Sirven, N., Grondin, H., Pichetti, S., Sermet, C (2017). Frailty, polypharmacy, and potentially inappropriate medications in old people: Findings in a representative sample of the French population. European Journal of Clinical Pharmacology, 73(9), 1165-1172. https://doi.org/10.1007/s00228-017-2276-5.
Google Scholar | Crossref | Medline Hersh, W. R., Weiner, M. G., Embi, P. J., Logan, J. R., Payne, P. R., Bernstam, E. V., Lehmann, H. P., Hripcsak, G., Hartzog, T. H., Cimino, J. J., Saltz, J. H (2013). Caveats for the use of operational electronic health record data in comparative effectiveness research. Medical Care, 51(8 Suppl 3), S30-S37. https://doi.org/10.1097/MLR.0b013e31829b1dbd.
Google Scholar | Crossref | Medline | ISI Hewitt, J., Long, S., Carter, B., Bach, S., McCarthy, K., Clegg, A (2018). The prevalence of frailty and its association with clinical outcomes in general surgery: A systematic review and meta-analysis. Age and Ageing, 47(6), 793-800. https://doi.org/10.1093/ageing/afy110.
Google Scholar | Crossref | Medline Hogan, D. B., Maxwell, C. J., Afilalo, J., Arora, R. C., Bagshaw, S. M., Basran, J., (et al (2017). A scoping review of frailty and acute care in middle-aged and older individuals with recommendations for future research. Canadian Geriatrics Journal, 20(1), 22-37.
Google Scholar | Crossref | Medline Hudhra, K., García-Caballos, M., Casado-Fernandez, E., Jucja, B., Shabani, D., Bueno-Cavanillas, A (2016). Polypharmacy and potentially inappropriate prescriptions identified by Beers and STOPP criteria in co-morbid older patients at hospital discharge. Journal of Evaluation in Clinical Practice, 22(2), 189-193. https://doi.org/10.1111/jep.12452.
Google Scholar | Crossref | Medline Jeffery, A. D., Hewner, S., Pruinelle, L., Lekan, D., Lee, M., Gao, G., Holbrook, L., Sylvia, M (2018). Risk prediction and segmentation models used in the U.S. for assessing risk in whole populations: A critical literature review with implications for nurses’ role in population health. JAMIA OPEN Journal of the Medial Informatics Association, 2(1), 205-214. https://doi.org/10.1093/jamiaopen/ooy053.
Google Scholar Juvé-Udina, M.-E., González-Samartino, M., López-Jiménez, M.M., Rodríguez-Fernández, H., Duelt, I. J. B., Tapia-Pérez, M., Prats, M. P., Susana Asensio-Flores, S., Berbis-Morelló, C., Zuriguel-Pérez, E., Delgado-Hito, P., Luque, O. R., Zabalegui, A., Fabrellas, N., Adamuz, J (2020). Acuity, nurse staffing and workforce, missed care and patient outcomes: A cluster-unit-level descriptive comparison. Journal of Nursing Management, 28, 2216-2229. https://doi.org/10.1111/jonm.13040.
Google Scholar | Crossref | Medline Kim, D. H (2020). Measuring frailty in health care databases for clinical care and research. Annals of Geriatric Medicine and Research, 24(2), 62-74. https://doi.org/10.4235/agmr.20.0002.
Google Scholar | Crossref | Medline Lekan, D. A., McCoy, T. P (2018). Frailty risk in hospitalized older adults with and without diabetes mellitus. Journal of Clinical Nursing, 27, 3510-3521. https://doi.org/10.1111/jocn.14529.
Google Scholar | Crossref | Medline Lekan, D., McCoy, T. P., Jenkins, M., Mohanty, S., Manda, P., Yasin, R (2021). Comparison of a frailty risk score and comorbidity indices for hospital readmission using electronic health record data. Research in Gerontological Nursing, 14(2), 91-103. https://doi.org/10.3928/19404921-20210115-03.
Google Scholar | Crossref | Medline Lekan, D. A., Wallace, D. C., McCoy, T. P., Hu, J., Silva, S., Whitson, H. E (2017). Frailty assessment of hospitalized older adults using the electronic health record. Biological Research for Nursing, 19, 213-228. https://doi.org/10.1177/1099800416679730.
Google Scholar | SAGE Journals | ISI Lim, S. H., Ang, S. Y., Abu, B., Aloweni, F. B., Østbye, T (2019). An integrative review on screening for frailty in acute care: Accuracy, barriers to implementation and adoption strategies. Geriatric Nursing, 40(6), 603-613. https://doi.org/10.1016/j.gerinurse.2019.06.005.
Google Scholar | Crossref | Medline Lin, H.S., Watts, J.N., Peel, N.M., Hubbard, R.E (2016). Frailty and post-operative outcomes in older surgical patients: A systematic review. BMC Geriatrics, 16(1), 157. https://doi.org/10.1186/s12877-016-0329-8.
Google Scholar | Crossref | Medline Lytle, K. S., Westra, B. L., Whittenburg, L., Adams, M., Akre, M., Ali, S., Furukawa, M., Hartleben, S., Hook, M., Johnson, S. G., Settergren, T., Thibodeaux, M (2021). Information models offer value to standardize electronic health record flowsheet data: A fall prevention exemplar. Journal of Nursing Scholarship, 53(3), 306-314. https://doi.org/10.1111/jnu.12646.
Google Scholar | Crossref | Medline McAlister, F., van Walraven, C (2019). External validation of the Hospital Frailty Risk Score and comparison with the Hospital-patient One-year Mortality Risk Score to predict outcomes in elderly hospitalised patients: A retrospective cohort study. BMJ Quality & Safety, 28(4), 284-288. https://doi.org/10.1136/bmjqs-2018-008661.
Google Scholar | Crossref | Medline Moore, B. J., White, S., Washington, R., Coenen, N., Elixhauser, A (2017). Identifying increased risk of readmission and in-hospital mortality using hospital administrative data. Medical Care, 55(7), 698-705. https://doi.org/10.1097/MLR.0000000000000735.
Google Scholar | Crossref | Medline Muller, K. E., Fetterman, B. A (2002). Regression and ANOVA: An integrated approach using SAS software. Cary, NC: SAS Publishing.
Google Scholar Nakas, C. T., Schutz, N., Werners, M., Leichtle, A. B. (2016). Accuracy and calibration of computational approaches for inpatient mortality prediction modeling. PLOS ONE. DOI: https://doi.org/10.1371/journal.pone.0159046.
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