Jean-Pierre Unger

Bio: Jean-Pierre Unger is an academic researcher from Institute of Tropical Medicine Antwerp. The author has contributed to research in topics: Health care & Health policy. The author has an hindex of 25, co-authored 95 publications receiving 1880 citations. Previous affiliations of Jean-Pierre Unger include University of Newcastle & Group Health Cooperative.

A code of best practice for disease control programmes to avoid damaging health care services in developing countries.

Abstract: How should we implement disease control programmes so as to strengthen existing health systems? To answer this question we re-examined the integration of these programmes from a managerial perspective. Based on a literature review we concluded that integration is essential in the majority of cases. We went on to examine the mechanisms whereby the integration of disease control activities can jeopardize health care delivery resulting in low service utilization low detection and cure rates and patient delays. To do this we clustered disease control programmes into three categories and assessed the impact of each on local health care facilities. From these results we suggest a series of measures designed to help aid agencies and national governments support local health care infrastructures or as a minimum avoid damaging them. Whilst some vertical programmes should never be integrated two conditions are essential to the integration of others: (1) Disease control needs to be integrated with general health care delivery—which implies the possibility to deliver general practice/family medicine care in publicly oriented health services. (2) Integration of both operational and administrative aspects should take place simultaneously. Any health policies in developing countries tending to allocate disease control programmes to government facilities and general health care to private facilities preclude their integration. They risk unravelling the fabric on which both disease control and health care delivery depend. (authors)

Likelihood ratios: A real improvement for clinical decision making?

Abstract: The concept of likelihood ratio has been advocated for several years as one of the better means to evaluate diagnostic tests and as a practical and valuable tool in clinical decision making. In this paper we review the basic concepts underlying the evaluation of diagnostic tests and we explore the properties and usefulness of both positive and negative likelihood ratios compared with sensitivity and specificity. Particular attention is given to the use of likelihood ratios in the clinical setting. Likelihood ratios have three main advantages: they are intuitive, they simplify the predictive value calculation and the overall evaluation of sequential testing. Disadvantages are the non-linearity and the necessity to recalculate probabilities in odds. Although they summarize the information contained in sensitivity and specificity, these characteristics are still necessary for certain clinical decisions. Since likelihood ratios have been promoted among physicians and medical students, we discuss examples of inappropriate use and misunderstandings in the medical literature: the frequent omission of confidence intervals, the choice of cut-off points based on likelihood ratios for positive test results only and the confusion between likelihood ratios for ranges and those for cut-off points.

Inequities in access to health care in different health systems: a study in municipalities of central Colombia and north-eastern Brazil

Abstract: Introduction: Health system reforms are undertaken with the aim of improving equity of access to health care. Their impact is generally analyzed based on health care utilization, without distinguishing between levels of care. This study aims to analyze inequities in access to the continuum of care in municipalities of Brazil and Colombia. Methods: A cross-sectional study was conducted based on a survey of a multistage probability sample of people who had had at least one health problem in the prior three months (2,163 in Colombia and 2,167 in Brazil). The outcome variables were dichotomous variables on the utilization of curative and preventive services. The main independent variables were income, being the holder of a private health plan and, in Colombia, type of insurance scheme of the General System of Social Security in Health (SGSSS). For each country, the prevalence of the outcome variables was calculated overall and stratified by levels of per capita income, SGSSS insurance schemes and private health plan. Prevalence ratios were computed by means of Poisson regression models with robust variance, controlling for health care need. Results: There are inequities in favor of individuals of a higher socioeconomic status: in Colombia, in the three different care levels (primary, outpatient secondary and emergency care) and preventive activities; and in Brazil, in the use of outpatient secondary care services and preventive activities, whilst lower-income individuals make greater use of the primary care services. In both countries, inequity in the use of outpatient secondary care is more pronounced than in the other care levels. Income in both countries, insurance scheme enrollment in Colombia and holding a private health plan in Brazil all contribute to the presence of inequities in utilization. Conclusions: Twenty years after the introduction of reforms implemented to improve equity in access to health care, inequities, defined in terms of unequal use for equal need, are still present in both countries. The design of the health systems appears to determine access to the health services: two insurance schemes in Colombia with different benefits packages and a segmented system in Brazil, with a significant private component.

Implementation research: a synthesis of the literature.

Abstract: In the past few years several major reports highlighted the gap between our knowledge of effective treatments and services currently being received by consumers. These reports agree that we know much about interventions that are effective but make little use of them to help achieve important behavioral health outcomes for children families and adults nationally. This theme is repeated in reports by the Surgeon General (United States Department of Health and Human Services 1999; 2001) the National Institute of Mental Health [NIMH] National Advisory Mental Health Council Workgroup on Child and Adolescent Mental Health Intervention Development and Deployment (2001) Bernfeld Farrington & Leschied (2001) Institute of Medicine (2001) and the Presidents New Freedom Commission on Mental Health (2003). The authors call for applied research to better understand service delivery processes and contextual factors to improve the efficiency and effectiveness of program implementation at local state and national levels. Our understanding of how to develop and evaluate evidence-based intervention programs has been furthered by on-going efforts to research and refine programs and practices to define "evidence bases" and to designate and catalogue "evidence-based programs or practices". However the factors involved in successful implementation of these programs are not as well understood. Current views of implementation are based on the scholarly foundations prepared by Pressman & Wildavskys (1973) study of policy implementation Havelock & Havelocks (1973) classic curriculum for training change agents and Rogers (1983; 1995) series of analyses of factors influencing decisions to choose a given innovation. These foundations were tested and further informed by the experience base generated by pioneering attempts to implement Fairweather Lodges and National Follow-Through education models among others. Petersilia (1990) concluded that "The ideas embodied in innovative social programs are not self-executing." Instead what is needed is an "implementation perspective on innovation--an approach that views postadoption events as crucial and focuses on the actions of those who convert it into practice as the key to success or failure". (excerpt)

The social transformation of american medicine.

Abstract: The Social Transformation of American Medicine is one of the most comprehensive studies on the rise of the medical profession and the development of the health care industry published to date, Starr is able to span the fields of medicine so that he discusses intelligently the economic, political, and historical developments in medical care. His wri ting is clear and succinct, his arguments are copiously footnoted, and the inferences he draws are sound. In Book I, he covers \"the rise of medical authority and the shaping of the medical system\"; in Book II, \"doctors, the State, and the coming of the corporation.\" Reviews by Daniel Bell of Harvard and George Silver of Yale call Starr's work brilliant-I would agree. I would recommend this book to anyone who wants to understand the current health care system. Starr describes the movement of the medical profession from one that was initially viewed skeptically to one that was later embraced; and now, coming full circle, to one that is viewed critically. Starr maintains that the current status of American medicine is the result of our history of accommodating professional interests while failing to exercise control over health programs, and then needing to adopt piecemeal regulations and cut-backs on programs that become too inflationary, One of the primary messages I take from this book is the importance of a com bination of forces: a profession's authority, the political climate, and the current philosophy about health care. Starr illustrates how these forces coalesce to defeat or achieve medical improvements. As occupational therapists, we are dependent on the development of the health care industry. It is wise for us to understand the forces that have an impact on medical care and what they could mean for our profession, Kay Barbara Schwartz, M.S., OTR

Manson's Tropical Diseases

Abstract: The first edition of this reference work was published in 1898, and the last update was published in 1972. This current edition is written by six major contributors and contains either rewritten or new chapters, including one 29-page chapter entitled "Ophthalmology in the Tropics" by F. C. Rodger, MD. Not only is this material valuable to physicians in endemic areas, but it is also important for travelers to the tropics who may return home with these diseases. Most of the chapters discuss the following aspects of tropical disease: cause, transmission, immunology, epidemiology, geographical distribution, pathologic condition, clinical findings, and diagnosis (including laboratory findings, treatment, and prevention). Beside chapters on infections, there are chapters on disorders due to heat, nutritional diseases, and venoms and poisons, and appendices on protozoology, helminthology, entomology, and clinical pathologic conditions. Excellent illustrations of end-stage pathologic conditions are disconcerting. Ophthalmologists would be most interested in the discussion

A readers' guide to the interpretation of diagnostic test properties: clinical example of sepsis.

Abstract: One of the most challenging practical and daily problems in intensive care medicine is the interpretation of the results from diagnostic tests. In neonatology and pediatric intensive care the early diagnosis of potentially life-threatening infections is a particularly important issue. A plethora of tests have been suggested to improve diagnostic decision making in the clinical setting of infection which is a clinical example used in this article. Several criteria that are critical to evidence-based appraisal of published data are often not adhered to during the study or in reporting. To enhance the critical appraisal on articles on diagnostic tests we discuss various measures of test accuracy: sensitivity, specificity, receiver operating characteristic curves, positive and negative predictive values, likelihood ratios, pretest probability, posttest probability, and diagnostic odds ratio. We suggest the following minimal requirements for reporting on the diagnostic accuracy of tests: a plot of the raw data, multilevel likelihood ratios, the area under the receiver operating characteristic curve, and the cutoff yielding the highest discriminative ability. For critical appraisal it is mandatory to report confidence intervals for each of these measures. Moreover, to allow comparison to the readers' patient population authors should provide data on study population characteristics, in particular on the spectrum of diseases and illness severity.