Abstract
The purpose of this study was to examine the relationships between the patient's health status at hospital admission and the initial care planned by the nurse. Functional status, engagement in care, and psychosocial well-being were measured by the Health Status Outcome Dimensions(HSOD) instrument. The HSOD is the foundation for developing a computer-based infrastructure for the analysis of health related outcomes. The consecutive, convenience sample of 308 subjects was drawn from five acute clinical populations: pulmonary; cerebrovascular, cardiac; gastrointestinal; and infection. Logistic and multiple regression analyses were used to test the relationships between control (patient and setting) variables, health status, and the dependent variables of type of problem identified, number of problems identified, and the time required to implement interventions ordered for the patient. In seven of ten models, control variables of facility, age, and/or severity of illness contributed to a model at p < .01. In six of ten models, at least one health status measure significantly explained variation beyond the control variables, at p < .01. Study results support using data gathered during the course of care, to evaluate the process of that care. Further work is needed to understand the effects of setting and provider variables on the use of health status data in care planning. Computer-based outcomes infrastructures are essential to support the collection and analysis of health status over time.
Full text
PDF




Selected References
These references are in PubMed. This may not be the complete list of references from this article.
- Henry S. B. Informatics: essential infrastructure for quality assessment and improvement in nursing. J Am Med Inform Assoc. 1995 May-Jun;2(3):169–182. doi: 10.1136/jamia.1995.95338870. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Holzemer W. L., Henry S. B., Stewart A., Janson-Bjerklie S. The HIV quality audit marker (HIV-QAM): an outcome measure for hospitalized AIDS patients. Qual Life Res. 1993 Apr;2(2):99–107. doi: 10.1007/BF00435729. [DOI] [PubMed] [Google Scholar]
- Holzemer W. L. Nursing effectiveness research and patient outcomes. A challenge for the second HIV/AIDS decade. Crit Care Nurs Clin North Am. 1992 Sep;4(3):429–435. [PubMed] [Google Scholar]
- Holzemer W. L., Reilly C. A. Variables, variability, and variations research: implications for medical informatics. J Am Med Inform Assoc. 1995 May-Jun;2(3):183–190. doi: 10.1136/jamia.1995.95338871. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Holzemer W. L. The impact of nursing care in Latin America and the Caribbean: a focus on outcomes. J Adv Nurs. 1994 Jul;20(1):5–12. doi: 10.1046/j.1365-2648.1994.20010005.x. [DOI] [PubMed] [Google Scholar]
- Leary R., Leary R., Dove H. Research review: refined diagnosis-related groups--a new perspective on patient classification. Top Health Inf Manage. 1993 Nov;14(2):77–87. [PubMed] [Google Scholar]
- Zielstorff R. D. Capturing and using clinical outcome data: implications for information systems design. J Am Med Inform Assoc. 1995 May-Jun;2(3):191–196. doi: 10.1136/jamia.1995.95338872. [DOI] [PMC free article] [PubMed] [Google Scholar]
