Health status, health resources, and consolidated structural parameters: implications for public health care policy.
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The National Health Planning and Resources Development Act of 1974 (P.L. 93-641) requires health systems agencies (HSAs) to assess the health status of their area populations but limits their data-collecting activity. Numerous measures of health status have been devised, but many of these require data that are not yet available or are available only on the national level. Proposed measures are reviewed, and the problems of applying them to the measurement of health status in small areas, under current technical and practical constraints, are discussed. Several measures have promise for giving reasonable results, but only with further development of data sources, estimation techniques, and social indicator models; under present constraints, HSAs will have to work with less precise and less useful methods.
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Weight, Height, head circumference, chest circumference, arm circumference and triceps skinfold of 223 children under 5 years from the small Mentawai island Sipora/Indonesia have been measured and related to international standards. Beginning from standard values, the anthropometric data decrease during the first 2-3 years, rising again in the following years. Weight for age is 72% of standard at 24 months and 83% at 5 years, height for age 89% at 30 months and 92% at 5 years, weight for height of the boys 82% at 12 months, of the girls 79% at 24 months and 94% for both at 4-5 years, chest/head ratio 95% at 12 months and 100% at 3-5 years. Arm circumference is 83% at 18 months 100% and above already at 3 years. Therefore, fold regains after the minimum of 90% at 18 months and above already at 3 years. Therefore, muscle growth would predominantly be reduced. The weight gain follows approximately the 3rd centile of english girls with a clear depression between 9 and 30 months. The birth weights of 476 children are 3230 g (boys) and 3120 g (girls). Perinatal mortality is low (2.9%), mortality during the first 5 years between 15 and 24%. In the health centre charts of 126 children under 5 years of a selected village (93% of that age group) 463 treatments in 5 years are recorded. The most frequent diagnoses are diseases of the respiratory tract (38% of all treatments), followed by malaria (23%), diarrhoea (19%), ascaris and hookworm infections (7.6%) and skin conditions (6%). Tuberculosis was the cause of treatment in 1.3%. In spite of the temporary growth retardation, as indicated by the anthropometric values, no cases of clinical Protein-Energy-Malnutrition have been observed. Malaria seems to be holoendemic, since all 223 children had a palpable spleen.
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Health status indexes used to make collective decisions satisfying the principles of equality and social minimum must incorporate a social metric for health. Any index or indicator applied to populations for determining health status or to health programs for evaluating outcome must confront the question of who prefers which states of health under which circumstances? Utility models, psychometric scaling, and empirical social decision valuation have been used to measure preferences for states of health. Efforts should be directed toward constructing social metrics for health that are prospective, context-independent, relevant, community-wide, ratio scalled, sensitive, empirically validated, and applicable to program evaluation. These efforts represent the application of normative social theory to research, an important advance in uncovering the mysteries of social action and its consequences.
This study was designed to test the short-term effects of health assessment on the process of care and patient satisfaction. The 29 Chart physicians used the Dartmouth COOP Charts to measure their adult patients' health status during a single clinical encounter; the 27 control clinicians used no measure of health status. We compared the change between baseline and post-intervention information for a sample of all study clinicians' patients. Most of the patients were female (67%), well educated (70% had at least a college education) and young (approximately 90% were aged 59 years or younger). We found that the ordering of tests and procedures for women was increased by exposure to the COOP Charts (52% vs. 35%; p < 0.01); the effect in men was not as significant (37% vs. 23%: p = 0.06). Although women reported no change in satisfaction with care, men claimed that the clinician helped in the management of pain (p = 0.02). We conclude that the use of health status measures during a single clinical encounter in an HMO changes clinician test ordering behaviour and may improve the help male patients receive for pain conditions. The long-term impact of these management changes is not known.
Two health status indices applicable to individuals and groups are presented for research and health programme evaluation purposes. Both indices are functions of distances from cultural or group norms of the healthy state on a number of physiological dimensions that are theoretically or empirically related to health. Ways of deriving group norms are briefly discussed.
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This study had the purpose of identifying the health needs of the elderly population of a small urban Italian community for the purpose of planning sociomedical services. The data were collected by interviewing a stratified random sample of 1291 individuals over sixty years of age. About one third sample reported poor health. However, health complaints, both physical and mental, were particularly common among the persons living in disadvantaged social and economic conditions. The great majority of the respondents were found to be self-sufficient, and ambulatory. The results indicate that the present health needs of the elderly living in the community require new health services, such as home care, which will permit the elderly to avoid future hospitalization.
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Measures of physical, mental and social components of health status and general health ratings were studied for children ages 0-4 (N = 679) and 5-13 (N = 1473). Questionnaires were completed by adult proxies (usually mothers) in three generally healthy populations. Hypothesized multi-item scales were tested; reliability was estimated and preliminary attempts at validation were undertaken. Items in ten scales pertaining to mental health (Anxiety, Depression, Positive Well-Being, Mental Health Index), social health (Social Relations), general health ratings (Current Health, Prior Health, Resistance/Susceptibility to Illness, General Health Rating Index), as well as parental satisfaction with child development satisfied Likert-type and discriminant validity criteria. Because functional limitation items were endorsed for very few children, scales to measure physical health could not be tested. Almost all scales were sufficiently reliable for group comparisons; reliability coefficients were lower in the most disadvantaged population. Interrelationships among scales and validity variables generally supported their construct validity and supported a multi-component model of children's health status.
Interest in health status indicators has produced measures of widely varying applicability. We were interested in the use of such indices to establish mean recovery curves for groups of similar patients undergoing acute hospital treatment. A longitudinal study relating resource usage to these recovery curves had been intended but there were difficulties in finding suitable indicators. Firstly, two published indicators relying on patient interviews were tested for consistency. Poor correlations were found among those scorers unfamiliar with the patients and it seems unlikely that these indicators could be used in a routine system. Different parts of the indices presented difficulties to the different professions involved in scoring, and a multidisciplinary approach may be needed in assessing full health. The indicators tested included no assessment of prognosis. Those parts of the indices which had produced significant correlations were retained in subsequent work and were supplemented by further measures designed to overcome the earlier difficulties. A new trial of this indicator was undertaken where staff, familiar with the patients, scored data recorded by the Problem Oriented Medical Record system. This produced improved correlations but some problems remain.
The development of a health status measure, the Sickness Impact Profile (SIP), is described in terms of both its conceptualization and methodology. The need for a health status measure that is sensitive and appropriate, based on sickness-related behavior, and culturally unbiased, is discussed. A model of sickness behavior is presented as a guide for methodological development. The description of the initial developmental stage of the SIP includeds detailed discussion and documentation of the collection, sorting and grouping of items that comprise the SIP, scaling of the items, scoring of the instrument, and testing and revision of the prototype instrument. Results of preliminary tests of reliability, validity, and administrative feasibility are presented. Subsequent steps in revision and finalization, now under way, are outlined.
The Sickness Impact Profile (SIP), a measure of health status, is being developed as an outcome measure of health care. A preliminary study of the validity of the SIP was conducted on a sample of 278 subjects who were grouped into four subsamples differing in kind and severity of sickness. Selfassessment of health status, clinician assessment of health status, and other measures of dysfunction were used as criteria. SIP scores discriminated among subsamples, and correlations between criterion measures and SIP scores provided evidence for the validity of the SIP. Differences among the correlations obtained for each criterion measure with SIP score are discussed in terms of the need for the development of criterion measures that can be expected to differentially relate to the constructs inherent in the SIP.