Manitoba's Population-Based Databases and Long-Term Planning: Beyond the Hospital Databases

1995 ◽  
Vol 8 (3) ◽  
pp. 5-13 ◽  
Author(s):  
Marsha M. Cohen ◽  
Noralou P. Roos ◽  
Carolyn DeCoster ◽  
Charlyn Black ◽  
Kathleen M. Decker

The Manitoba Centre for Health Policy and Evaluation (MCHPE) conducts health services research focusing on Manitoba's administrative databases. Administrative databases contain information which is routinely and systematically collected for administrative purposes such as hospital and physician claims and funding requirements. This article describes the MCHPE's five major databases, their strengths and limitations, and the development of the Population Health Information System (PHIS). Four modules from PHIS illustrate how the data are used to provide useful information for health care planners, administrators and policy analysts. Finally, future projects and directions for using administrative databases are explored.

1996 ◽  
Vol 53 (1_suppl) ◽  
pp. 18-43 ◽  
Author(s):  
Amy B. Bernstein ◽  
Jill Bernstein

Although health maintenance organization (HMO) structures and databases are not uniform across plans, there are unique characteristics of HMO data in general that make them useful in examining health policy and delivery issues. The authors examine differences in data generated by different types of HMOs. After discussing why health services research using HMO data is needed by HMOs, other providers, practitioners, payers, and consumers of health care, the authors examine ways in which HMOs can provide sound answers to crucially important questions about the future of health care. They conclude that although the need for research on HMOs is compelling, researchers need to understand the information needs of HMOs and the incentives that are shaping the industry's approach to system delivery and clinical outcomes research. If HMOs do not take the lead in conducting health services research, they will diminish their role in shaping policies that will shape their future evolution.


2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Bruce Rosen ◽  
Stephen C. Schoenbaum ◽  
Avi Israeli

AbstractAs 2020 comes to a close, the Israel Journal of Health Policy Research (IJHPR) will soon be starting its tenth year of publication. This editorial compares data from 2012 (the journal’s first year of publication) and 2019 (the journal’s most recent full year of publication), regarding the journal’s mix of article types, topics, data sources and methods, with further drill-downs regarding 2019.The analysis revealed several encouraging findings, including a broad and changing mix of topics covered. However, the analysis also revealed several findings that are less encouraging, including the limited number of articles which assessed national policy changes, examined changes over time, and/or made secondary use of large-scale survey data. These findings apparently reflect, to some extent, the mix of studies being carried out by Israeli health services researchers.As the senior editors of the IJHPR we are interested in working with funders, academic institutions, the owners and principal users of relevant administrative databases, and individual scholars to further understand the factors influencing the mix of research being carried out, and subsequently published, by Israel’s health services research community. This deeper understanding could then be used to develop a joint plan to diversify and enrich health services research and health policy analysis in Israel. The plan should include a policy of ensuring improved access to data, to properly support information-based research.


1998 ◽  
Vol 11 (1) ◽  
pp. 49-67 ◽  
Author(s):  
N. P. Roos ◽  
C. Black ◽  
L. L. Roos ◽  
N. Frohlich ◽  
C. DeCoster ◽  
...  

University-based researchers in Manitoba, Canada, have used administrative data routinely collected as part of the national health insurance plan to design an integrated database and population-based health information system. This information system is proving useful to policymakers for providing answers to such questions as: which populations need more physician services? Which need fewer? Are high-risk populations poorly served or do they have poor health outcomes despite being well served? Does high utilization represent overuse or utilization related to high need? More specifically, this system provides decision-makers with the capability to make critical comparisons across regions and subregions of residents' health status, socioeconomic risk characteristics, and use of hospitals, nursing homes, and physicians. The system permits analyses of demographic changes, expenditure patterns, and hospital performance in relation to the population served. The integrated database has also facilitated outcomes research across hospitals and counties, utilization review within a single hospital, and longitudinal research on health reform. A particularly interesting application to planning physician supply and distribution is discussed. The discussion highlights the strengths of integrated population-based information in analyzing the health care system and raising important questions about the relationship between health care and health.


2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1558.1-1558
Author(s):  
L. Quartuccio ◽  
E. Treppo ◽  
S. De Vita ◽  
F. Valent

Background:ANCA-associated vasculitides (AAV) are a group of systemic vasculitis carrying a high risk of hospitalization because the multiorgan involvement, the acute nature of some clinical manifestations, the chronic but very disabling course of some other manifestations and finally the risk of severe infections due to chronic glucocorticoid and immunosuppressor administration. However, data on cost of illness due to AAV are lacking.Objectives:to estimate the cost of illness in patients suffering from AAV in the province of Udine (about 500,000 inhabitants), Friuli Venezia Giulia (FVG), Italy, from year 2010 to 2018.Methods:integration of the information coming from many administrative databases were used to this end. The Regional Health Information System of FVG was used as the source of information for this retrospective cohort study. The system covers the entire regional population and includes various electronic health administrative databases that can be linked with one another on an individual basis through a unique encrypted identifier. In particular, the following databases were matched: the database of the health care beneficiaries (including demographic information and the residential history of all of the subjects living in FVG), the hospital discharge database, the database of exemptions from medical charges, the database of the laboratories. The population under study was selected based on the following inclusion criteria: patients were residents in the province of Udine and they had to carry the exemption code for AAV, including GPA, or EGPA, or MPA. This population was observed from 2010 to 2018.Results:57 patients (201 patient-years) with AAV were identified. They were ANCA-positive in 44/57 (77%). GPA, EGPA and MPA was diagnosed in 18 (31,6%), 15 (26,3%), 11 (19,3%) patients, respectively. The mean age at diagnosis was 54,5 (17,5) years. The disease itself was the main cause of hospitalization in almost half of the hospital discharges (60/126, 47,6%). Four patients died during the observation period due to vasculitis itself (1), pneumonia (2), or haematological malignancy (1). Time to the first event (death or hospitalization) was significantly higher in ANCA-negative AAV patients than in ANCA-positive AAV patients (p=0,03, Log-Rank test), ANCA-positive AAV patients having a three-times higher risk (HR 3,38 95%CI 1,13-10,08, p=0,03). Total estimated cost was € 1,215,078, corresponding to € 6,168 patient-year. Costs for ANCA-positive AAV patients were much higher than those for ANCA-negative AAV patients (€ 1,115,253 vs € 99,825, and € 7058 per person-year vs € 2,559 per person-year, respectively). GPA and MPA showed the highest costs if compared to EGPA [GPA: € 239,168 (€ 5199 per person-year) vs MPA: € 281,502 (€ 4771 per person-year) vs EGPA: € 214,287 (2329 per person-year), respectively]. Costs for hospitalization were the highest [€ 734,957 (€ 3731 per person-year) vs other costs € 480,121 (€ 2437 per person-year)].Conclusion:costs for AAV are very high, confirming the high health care burden of this illness. Management of ANCA-positive patients rather than ANCA-negative patients was burdened by the highest costs. GPA and MPA showed the highest direct costs for hospitalization, which very frequently occurred due to the vasculitis itself.Disclosure of Interests:Luca Quartuccio Consultant of: Abbvie, Bristol, Speakers bureau: Abbvie, Pfizer, Elena Treppo: None declared, Salvatore De Vita Consultant of: Roche, GSK, Speakers bureau: Roche, GSK, Novartis, Francesca Valent: None declared


1996 ◽  
Vol 53 (1_suppl) ◽  
pp. 65-76 ◽  
Author(s):  
Eileen Peterson ◽  
Deborah Shatin ◽  
Douglas Mccarthy

This article describes collaborative health services research and performance evaluation activities at United HealthCare Corporation, a national health care management services company. We outline the development of a research capacity within our company, the principal data sources used, and the types of research conducted. The importance of health services research within a managed care system is illustrated using two projects as examples. finally, we discuss issues faced by organizations such as ours in defining appropriate research priorities, ensuring health plan participation, and disseminating research findings. Lessons learned should be of interest to health services researchers working in or collaborating with managed care organizations as well as others seeking to understand the dynamics of research in private-sector health care companies.


Author(s):  
Rakhi Chowdhury ◽  
Leena Kumari ◽  
Subhamay Panda

Health information system deals with any system that helps in capturing, storing, transmitting, and managing health-related information of an individual or to demonstrate the activities or organizations working within health-care sector. In the developing countries, maternal and child health is gaining concern due to increasing cases of morbidity and mortality. The disparities among the maternal, infant, and child health are a growing concern in India and are governed by various determinants such as socioeconomic status, literacy, quality of health care, discrimination, and biological and genetic factors. Accurate and reliable health information and data are the basis for decision-making across the health-care sector and are crucial for the development and implementation of health system policy by the policy-makers. Strict monitoring and evaluation of the present program design and its implementation is required at the microlevel to effectively utilize the resources for the improvement of maternal and child health. Our present article focuses on evaluating the coverage gap at the different levels for the provision of health-care facilities to maternal, neonatal, and child health, immunization, and treatment of poor children. Big data plays a major role in providing sound and reliable health-related information and also help in managing and recording structured and unstructured data. More concrete plans are required further to reduce the inequalities in health-care interventions for providing better maternal and child health-care services in our nation.


2015 ◽  
Vol 20 (3) ◽  
pp. 833-840 ◽  
Author(s):  
Fernando Cesar Iwamoto Marcucci ◽  
Marcos Aparecido Sarria Cabrera

An aging population and epidemiological transition involves prolonged terminal illnesses and an increased demand for end-stage support in health services, mainly in hospitals. Changes in health care and government health policies may influence the death locations, making it possible to remain at home or in an institution. The scope of this article is to analyze death locations in the city of Londrina, State of Paraná, from 1996 to 2010, and to verify the influence of population and health policy changes on these statistics. An analysis was conducted into death locations in Londrina in Mortality Information System (SIM) considering the main causes and locations of death. There was an increase of 28% in deaths among the population in general, though 48% for the population over 60 years of age. There was an increase of deaths in hospitals, which were responsible for 70% of the occurrences, though death frequencies in others locations did not increase, and deaths in the home remained at about 18%. The locations of death did not change during this period, even with health policies that broadened care in other locations, such as the patient´s home. The predominance of hospital deaths was similar to other Brazilian cities, albeit higher than in other countries.


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