Health promotion and disease prevention as a complement to community health indicators - Working group 1
Bibliographic record
Abstract
The aim of Working Group 1 has been to assess health promotion and disease prevention activities in terms of benefits, risks, and economic, social, and ethical implications as a complement to community health indicators. Objectives: The objectives delineated for Working Group 1 were: 1) to analyze current initiatives to assess health promotion and disease prevention activities in European countries; 2) to provide an overview of beneficial health promotion and disease prevention activities; and 3) to examine the extent to which HTA has been implemented in health policy and health practice in relation to health promotion. Discussion: This part of the report deals with preventive technology, health technology assessment (HTA), and health policy in the European Union (EU), plus Norway and Switzerland. The ECHTA/ECAHI project is funded by the European Commission's Community Health Monitoring Programme (HMP). One of the pillars of the HMP is to establish community health indicators. Community health indicators are intended to allow monitoring of the health status of the population of the EU, to facilitate evaluation of health system performance, and to enable international comparisons. In fact, standard community health indicators do not tell a great deal about health system performance. The health system generally does not have a great influence on the most common comparable indicators of health, such as overall mortality and life expectancy, which are quite similar in all EU member states. One of the basic goals of Working Group 1 was to test and perhaps demonstrate an alternative or complementary method: examining the use of proven preventive technologies in the EU as a measure of health policy and health system performance. Public health, prevention, and health promotion activities, including screening, are priorities for the EU's health activities. Obviously, preventing disease is of importance to the general public, to the health systems of Europe, and to health policy makers. When disease can be prevented and health promoted or enhanced, the entire society of Europe profits. Furthermore, public health and prevention are major tasks for the public sector in all EU member states. HTA has developed during the last 25 years as an aid to decision makers in determining health policy and practice. In its early years, HTA dealt mainly with large, visible, expensive technology. More recently, HTA has turned toward evaluating a wider range of health technologies, including those in prevention. This report offers some insight into how far this process of evaluation has gone and how useful the evaluations of prevention are or could be. It is often said that there are relatively few proven interventions in the prevention field. The report of Working Group 1 has demonstrated that this impression is not correct. It is not difficult to compile a list of 70 or more interventions that have been found effective by systematic review of the scientific literature. Such a list is presented in this report, without a detailed evaluation of each intervention, taken from systematic reviews carried out in the United States, Canada, the United Kingdom, the Netherlands, and other countries. Few interventions in the area of health promotion have been tested-and of these, only a few were found to be efficacious. On the other hand, evaluation of cost-effectiveness is difficult, because the needed studies have not been done in most cases. As for broader assessments of ethical and social implications of preventive technologies, these are almost entirely lacking. Much of this evidence, whether dealing with effectiveness, cost-effectiveness, or other issues, may not be entirely reliable because of the poor quality of many of the original studies and the gaps in available information. The HTA agencies, members of INAHTA, have developed a large database of their own studies, including those in the area of prevention. The working group examined the HTA Database (formerly the INAHTA Database) to determine how useful it might be in evaluating prevention. The database has many assessments in the area of prevention, whereof most are systematic reviews. Therefore, as a source of information immediately available, the HTA Database is certainly useful. On the other hand, it could be improved in several ways, some of which will be discussed in the body of this report. However, almost all of the interventions assessed by HTA agencies concern technologies provided by the healthcare system, not considering interventions or strategies under the jurisdiction of government agencies or other sectors not associated with the ministries of health. Working Group 1 also wished to gain an idea of how much HTA is used in the member states of the EU in the field of prevention and if these assessments had affected policy and practice. There are several indications, including the results of the survey carried out by the working group, that the potentials of prevention are not realized in European countries because of lack of effective policies. The survey was organized to further explore this problem. From the large number of apparently effective preventive interventions, the working group decided to focus on eight technologies. Those technologies were selected from the longer list because they cover a wide range of topics and considerations. They were not selected randomly and are not necessarily representative. In the sense that other good examples could have been used, this effort must be considered a pilot project. The eight selected areas are: 1. Genetic aberrations and congenital malformations; 2. Detection and treatment of hypertension; 3. Cigarette smoking/lung cancer; 4. Counseling and sexual behavior; 5. Cervical cancer screening; 6. Colorectal cancer screening; 7. Detection of excessive drinkers; and 8. Traffic injuries. An exhaustive literature review was carried out in these eight areas, focusing on systematic reviews. As can be seen, some of the areas are broad and could be addressed by several different technologies, while a few (e.g., cervical cancer screening) are rather discrete. In summary, there is little doubt that each of these areas has one or more effective technologies that could be implemented with benefits to the population of most European countries. The literature review showed some serious shortcomings. While information on efficacy is often available, this literature is not always of the best quality. Relatively little information on other assessment dimensions is found. Specifically, and in terms of this project, cost and cost-effectiveness information is scant. When it is available, it is often of poor quality. Systematic reviews in the area of prevention seldom give information on cost or cost-effectiveness. When they do, they generally point to the poor quality of the information and the analysis. Ethics is another important area not often the subject of detailed assessment. Ethics are seldom mentioned in the literature concerning prevention (with a few exceptions such as prenatal screening and screening for familial breast cancer). And systematic reviews, despite acknowledging the importance of ethical issues in assessment, seldom mention this area.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.100 | 0.062 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.008 | 0.004 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.005 | 0.012 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.010 | 0.006 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".