Data Collection Methods in Health Services Research
| Autor: | Deb Mitchell, Karen Salter, K. May, Romi Haas, Kelly-Ann Bowles, Elizabeth H Skinner, Lisa O'Brien, Samantha Plumb, M. Ho, Donna Markham, Mitchell Sarkies, Terry Haines |
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| Rok vydání: | 2015 |
| Předmět: |
Male
Decision Making Automatic identification and data capture Length of hospitalization Health Informatics Health administration 03 medical and health sciences 0302 clinical medicine Hospital Administration Health Information Management Outcome Assessment Health Care medicine Data Mining Humans 030212 general & internal medicine Health policy Data collection business.industry Data Collection Health Policy 030503 health policy & services Medical record Health services research Length of Stay Middle Aged medicine.disease Patient Discharge Computer Science Applications Female Observational study Medical emergency 0305 other medical science business Research Article |
| Zdroj: | Scopus-Elsevier |
| ISSN: | 1869-0327 |
| DOI: | 10.4338/aci-2014-10-ra-0097 |
| Popis: | SummaryBackground: Hospital length of stay and discharge destination are important outcome measures in evaluating effectiveness and efficiency of health services. Although hospital administrative data are readily used as a data collection source in health services research, no research has assessed this data collection method against other commonly used methods.Objective: Determine if administrative data from electronic patient management programs are an effective data collection method for key hospital outcome measures when compared with alternative hospital data collection methods.Method: Prospective observational study comparing the completeness of data capture and level of agreement between three data collection methods; manual data collection from ward-based sources, administrative data from an electronic patient management program (i.PM), and inpatient medical record review (gold standard) for hospital length of stay and discharge destination. Results: Manual data collection from ward-based sources captured only 376 (69%) of the 542 in-patient episodes captured from the hospital administrative electronic patient management program. Administrative data from the electronic patient management program had the highest levels of agreement with inpatient medical record review for both length of stay (93.4%) and discharge destination (91%) data.Conclusion: This is the first paper to demonstrate differences between data collection methods for hospital length of stay and discharge destination. Administrative data from an electronic patient management program showed the highest level of completeness of capture and level of agreement with the gold standard of inpatient medical record review for both length of stay and discharge destination, and therefore may be an acceptable data collection method for these measures.Citation: Sarkies MN, Bowles K-A, Skinner EH, Mitchell D, Haas R, Ho M, Salter K, May K, Markham D, O’Brien L, Plumb S, Haines T.P. Data collection methods in health services research – hospital length of stay and discharge destination. Appl Clin Inf 2015; 6: 96–109http://dx.doi.org/10.4338/ACI-2014-10-RA-0097 |
| Databáze: | OpenAIRE |
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