Are Home Care Programs Cost-Effective? A Systematic Review of the Literature

2003 ◽  
Vol 4 (4) ◽  
pp. 198-201 ◽  
Author(s):  
Kimberly D. Fraser

The cost-effectiveness of home care programs and services is an important area of health care research given the recent growth and continuing trend in home health care, the current state of health care reform in Canada, and changing demographics in Canada. Home care programs often proceed with little evidence-based decision-making. Increased demand for evidence-based decision-making is apparent in not only clinical settings, but also in policy environments thus creating a need for more research in this area. There are presently very few rigorous studies on the cost-effectiveness of home care programs. This systematic literature review addresses the research question, “What is the relationship between cost-consequence evidence and policy implications within the home care context?” The findings are not surprising. They include mixed results and indicate that cost-effectiveness of home care programs is an important area to study in spite of the many challenges. The challenges presented must be acknowledged and addressed in order to produce better research designs in future studies.

Author(s):  
Milton C. Weinstein

Cost-effectiveness analysis (CEA) is a method of economic evaluation that can be used to assess the efficiency with which health care technologies use limited resources to produce health outputs. However, inconsistencies in the way that such ratios are constructed often lead to misleading conclusions when CEAs are compared. Some of these inconsistencies, such as failure to discount or to calculate incremental ratios correctly, reflect analytical errors that, if corrected, would resolve the inconsistencies. Others reflect fundamental differences in the viewpoint of the analysis. The perspectives of different decision-making entities can properly lead to different items in the numerator and denominator of the cost-effectiveness (C/E) ratio. Producers and consumers of CEA need to be more conscious of the perspectives of analysis, so that C/E comparisons from a given perspective are based upon a common understanding of the elements that are properly included.


10.2196/23951 ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. e23951
Author(s):  
Shuma G Kanfe ◽  
Berhanu F Endehabtu ◽  
Mohammedjud H Ahmed ◽  
Nebyu D Mengestie ◽  
Binyam Tilahun

Background Changing the culture of information use, which is one of the transformation agendas of the Ministry of Health of Ethiopia, cannot become real unless health care providers are committed to using locally collected data for evidence-based decision making. The commitment of health care providers has paramount influence on district health information system 2 (DHIS2) data utilization for decision making. Evidence is limited on health care providers’ level of commitment to using DHIS2 data in Ethiopia. Therefore, this study aims to fill this evidence gap. Objective This study aimed to assess the levels of commitment of health care providers and the factors influencing their commitment levels in using DHIS2 data for decision making at public health care facilities in the Ilu Aba Bora zone of the Oromia national regional state, Ethiopia in 2020. Methods The cross-sectional quantitative study supplemented by qualitative methods was conducted from February 26, 2020 to April 17, 2020. A total of 264 participants were approached. SPSS version 20 software was used for data entry and analysis. Descriptive and analytical statistics, including bivariable and multivariable analyses, were performed. Thematic analysis was conducted for the qualitative data. Results Of the 264 respondents, 121 (45.8%, 95% CI 40.0%-52.8%) respondents showed high commitment levels to use DHIS2 data. The variables associated with the level of commitment to use DHIS2 data were found to be provision of feedback for DHIS2 data use (adjusted odds ratio [AOR] 1.85, 95% CI 1.02-3.33), regular supervision and managerial support (AOR 2.84, 95% CI 1.50-5.37), information use culture (AOR 1.92, 95% CI 1.03-3.59), motivation to use DHIS2 data (AOR 1.80, 95% CI 1.00-3.25), health needs (AOR 3.96, 95% CI 2.11-7.41), and competency in DHIS2 tasks (AOR 2.41, 95% CI 1.27-4.55). Conclusions In general, less than half of the study participants showed high commitment levels to use DHIS2 data for decision making in health care. Providing regular supportive supervision and feedback and increasing the motivation and competency of the health care providers in performing DHIS2 data tasks will help in promoting their levels of commitment that can result in the cultural transformation of data use for evidence-based decision making in health care.


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