title: Resources for infertility treatment.
abstract: Infertility is common, a serious medical problem in both advanced and underdeveloped countries. At present, medical resources are often used very haphazardly and frequently extravagantly to combat fertility problems. Whilst it seems very unlikely that society will be able to prevent infertility effectively, there is no doubt that the resources available could be better organized for greater benefit. There is evidence of poor co-ordination of services, of inadequate financial planning by health managers, and squandering of limited resources by professionals. Better organization of in vitro fertilization (IVF), with the promotion of larger regional services, would be an effective use of finances. IVF is too often only available to the wealthy and the selection of patients for treatment is frequently arbitrary; many fertility treatments are of unproved value and are wasteful. It is argued, for example, that many patients receiving gamete intrafallopian transfer (GIFT) for so-called 'unexplained infertility' would be better treated by other, less expensive, methods which are often more effective. Many useful treatments, such as tubal surgery, are being disregarded or misused and there is need for better education of specialists who treat infertile patients. Better primary care of infertile patients should include non-medical counselling, and investigation and firm diagnosis before treatment is commenced. The heavy accent on high technology in the treatment of infertility is often misplaced, and we need to strike a careful balance if resources are to be properly allocated.
authors.forename: R M
authors.initials: RM
authors.lastname: Winston
mesh_terms: D000223:Adaptation, Psychological; D003363:Cost Control; D003365:Costs and Cost Analysis; D015276:Health Care Rationing; D006295:Health Resources / Q000191:economics / Q000592:standards* / Q000706:statistics & numerical data; D006801:Humans; D007246:Infertility / Q000191:economics / Q000523:psychology / Q000628:therapy*; D038622:Internationality; D018579:Patient Selection; D012099:Reproductive Techniques / Q000191:economics / Q000592:standards* / Q000706:statistics & numerical data; D040841:Resource Allocation