Functional status decline as a measure of adverse events in home health care: An observational study

Tanya Pollack Scharpf, Natalie Colabianchi, Elizabeth A. Madigan, Duncan Neuhauser, Timothy Peng, Penny H. Feldman, John F P Bridges

Research output: Contribution to journalArticle

Abstract

Background: Research that examines the quality of home health care is complex because no gold standard exists for measuring adverse outcomes, and because the patient and clinician populations are highly heterogeneous. The objectives in this study are to develop models to predict functional decline for three indices of functional status as measures of adverse events in home health care and determine which index is most appropriate for risk-adjusting for future quality research. Methods: Data come from the Outcomes and Assessment Information Set (OASIS) from a large urban home health care agency and other agency data. Prognostic data yields 49,437 episodes, while follow-up data yields 47,684 episodes. We tested three indices defined as substantial decline in three or more (gt3_ADLs), two or more (gt2_ADLs), and one or more (gt1_ADLs) ADLs. Multivariate logistic regression determines the performance of the models for each index as measured by the c-statistic and Hosmer-Lemeshow chi square (χ2). Results: Frequencies for gt3_ADLs, gt2_ADLs, and gt1_ADLs are 212 (0.43%), 783 (1.58%), and 4,271 (8.64%) respectively. Follow-up results are comparable with frequencies of 218 (0.46%), 763 (1.60%), and 3,949 (8.28%) for each index. Gt3_ADLs does not produce valid models. The model for gt2_ADLs consistently yields a higher c-statistic compared to gt1_ADLs (0.754 vs. 0.679, respectively). Both indices' models yield non-significant Hosmer-Lemeshow chi square indicating reasonable model fit. Findings for gt2_ADLs and gt1_ADLs are consistent over time as indicated by follow-up data results. Conclusion: Gt2_ADLs yields the best models as indicated by a high c-statistic and a nonsignificant Hosmer-Lemeshow χ2, both of which exhibit exceptional consistency. We conclude that gt2_ADLs may be preferable in defining ADL adverse events in the context of home health care.

Original languageEnglish (US)
Article number162
JournalBMC Health Services Research
Volume6
DOIs
StatePublished - Dec 20 2006
Externally publishedYes

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Home Care Services
Activities of Daily Living
Observational Studies
Delivery of Health Care
Home Care Agencies
Urban Health
Quality of Health Care
Research

ASJC Scopus subject areas

  • Nursing(all)
  • Medicine(all)

Cite this

Scharpf, T. P., Colabianchi, N., Madigan, E. A., Neuhauser, D., Peng, T., Feldman, P. H., & Bridges, J. F. P. (2006). Functional status decline as a measure of adverse events in home health care: An observational study. BMC Health Services Research, 6, [162]. https://doi.org/10.1186/1472-6963-6-162

Functional status decline as a measure of adverse events in home health care : An observational study. / Scharpf, Tanya Pollack; Colabianchi, Natalie; Madigan, Elizabeth A.; Neuhauser, Duncan; Peng, Timothy; Feldman, Penny H.; Bridges, John F P.

In: BMC Health Services Research, Vol. 6, 162, 20.12.2006.

Research output: Contribution to journalArticle

Scharpf, TP, Colabianchi, N, Madigan, EA, Neuhauser, D, Peng, T, Feldman, PH & Bridges, JFP 2006, 'Functional status decline as a measure of adverse events in home health care: An observational study', BMC Health Services Research, vol. 6, 162. https://doi.org/10.1186/1472-6963-6-162
Scharpf, Tanya Pollack ; Colabianchi, Natalie ; Madigan, Elizabeth A. ; Neuhauser, Duncan ; Peng, Timothy ; Feldman, Penny H. ; Bridges, John F P. / Functional status decline as a measure of adverse events in home health care : An observational study. In: BMC Health Services Research. 2006 ; Vol. 6.
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abstract = "Background: Research that examines the quality of home health care is complex because no gold standard exists for measuring adverse outcomes, and because the patient and clinician populations are highly heterogeneous. The objectives in this study are to develop models to predict functional decline for three indices of functional status as measures of adverse events in home health care and determine which index is most appropriate for risk-adjusting for future quality research. Methods: Data come from the Outcomes and Assessment Information Set (OASIS) from a large urban home health care agency and other agency data. Prognostic data yields 49,437 episodes, while follow-up data yields 47,684 episodes. We tested three indices defined as substantial decline in three or more (gt3_ADLs), two or more (gt2_ADLs), and one or more (gt1_ADLs) ADLs. Multivariate logistic regression determines the performance of the models for each index as measured by the c-statistic and Hosmer-Lemeshow chi square (χ2). Results: Frequencies for gt3_ADLs, gt2_ADLs, and gt1_ADLs are 212 (0.43{\%}), 783 (1.58{\%}), and 4,271 (8.64{\%}) respectively. Follow-up results are comparable with frequencies of 218 (0.46{\%}), 763 (1.60{\%}), and 3,949 (8.28{\%}) for each index. Gt3_ADLs does not produce valid models. The model for gt2_ADLs consistently yields a higher c-statistic compared to gt1_ADLs (0.754 vs. 0.679, respectively). Both indices' models yield non-significant Hosmer-Lemeshow chi square indicating reasonable model fit. Findings for gt2_ADLs and gt1_ADLs are consistent over time as indicated by follow-up data results. Conclusion: Gt2_ADLs yields the best models as indicated by a high c-statistic and a nonsignificant Hosmer-Lemeshow χ2, both of which exhibit exceptional consistency. We conclude that gt2_ADLs may be preferable in defining ADL adverse events in the context of home health care.",
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AU - Scharpf, Tanya Pollack

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AU - Madigan, Elizabeth A.

AU - Neuhauser, Duncan

AU - Peng, Timothy

AU - Feldman, Penny H.

AU - Bridges, John F P

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N2 - Background: Research that examines the quality of home health care is complex because no gold standard exists for measuring adverse outcomes, and because the patient and clinician populations are highly heterogeneous. The objectives in this study are to develop models to predict functional decline for three indices of functional status as measures of adverse events in home health care and determine which index is most appropriate for risk-adjusting for future quality research. Methods: Data come from the Outcomes and Assessment Information Set (OASIS) from a large urban home health care agency and other agency data. Prognostic data yields 49,437 episodes, while follow-up data yields 47,684 episodes. We tested three indices defined as substantial decline in three or more (gt3_ADLs), two or more (gt2_ADLs), and one or more (gt1_ADLs) ADLs. Multivariate logistic regression determines the performance of the models for each index as measured by the c-statistic and Hosmer-Lemeshow chi square (χ2). Results: Frequencies for gt3_ADLs, gt2_ADLs, and gt1_ADLs are 212 (0.43%), 783 (1.58%), and 4,271 (8.64%) respectively. Follow-up results are comparable with frequencies of 218 (0.46%), 763 (1.60%), and 3,949 (8.28%) for each index. Gt3_ADLs does not produce valid models. The model for gt2_ADLs consistently yields a higher c-statistic compared to gt1_ADLs (0.754 vs. 0.679, respectively). Both indices' models yield non-significant Hosmer-Lemeshow chi square indicating reasonable model fit. Findings for gt2_ADLs and gt1_ADLs are consistent over time as indicated by follow-up data results. Conclusion: Gt2_ADLs yields the best models as indicated by a high c-statistic and a nonsignificant Hosmer-Lemeshow χ2, both of which exhibit exceptional consistency. We conclude that gt2_ADLs may be preferable in defining ADL adverse events in the context of home health care.

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