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PubMed1989

The other face of development: native population, health status and indicators of malnutrition--the case of the Cree and Inuit of northern Quebec.

The cultural setting of the isolated Cree Indian and Inuit communities is described and measures of their health examined. Questionnaires were employed to consider both epidemiological and socio-cultural facets and physical examination evaluated serological indicators of nutritional status. Changes of lifestyle toward store purchased food and a lessened reliance on hunting and fishing along with the non-native nature of the health services available seem to be leading to heart conditions, hypertension and diabetes all of which give cause for concern.

Adolescent↗
PubMed1992

Ongoing assessment of health status in patients with diabetes mellitus.

In 1990, the Division of Endocrinology and Metabolism of Henry Ford Hospital established an Outcomes Management data base for patients with Type I and Type II diabetes. A first cohort of 117 patients completed a baseline and 6-month follow-up assessment; a second cohort of 116 patients completed the baseline assessment. Assessment at each time point includes: the Short Form--36 Questions (SF-36) health status instrument; a set of clinical variables known as the Diabetes TyPE scale Form 2.2 abstracted from the medical record; and the physicians' ratings of patient's health status along the major dimensions of the SF-36. Success with both face-to-face and mailed administration of the SF-36 has been good, with response rates of over 85% using both methods. Comparison of patient and physician ratings of patient health status indicated a significant discrepancy on ratings of general health status, with physicians' ratings higher than those of patients themselves. "Tight" glycemic control (as measured by glycosylated hemoglobin) was associated with somewhat lower ratings on the various SF-36 dimensions for all patients in the first cohort and for Type I patients in the second cohort. However, this effect did not seem to be attributable to those features of a complex regimen used to achieve tight control, but rather reflected a complex combination of age, education level, and number of daily injections associated with achieving good control.

Activities of Daily Living↗
PubMed2007

Health status in an invisible population: carnival and migrant worker children.

One goal of Healthy People 2010 (2003) is to close the gap of disparities in access to care and health. The purpose of this descriptive exploratory study was to evaluate health status indicators in the children of itinerant carnival and migrant farmworkers aged birth to 12 years. Health status outcomes (immunization records, well-child examinations, dental health status, and growth parameters) were compared between the two groups and to national averages to identify health disparities. All forms were available in Spanish and English. A total of 97 children were recruited for this study: 45 carnival children and 52 migrant farmworker children.

Agriculture↗
PubMed1995

Measuring the health of the population.

A set of 102 population-based indicators was developed from multiple administrative data sources; these indicators were used to compare the health status of 1 million Manitoba residents across eight administrative regions for 1 year. Marked variations in health status were shown. Despite theoretically equal access to care in a universally insured system and high rates of utilization of hospital and physician services, residents of Manitoba's two northern, more remote regions scored most poorly--consistently and with statistical significance--across a variety of health status indicators. The strength of the various indicators was evaluated, and premature mortality emerged as the most useful "flagship" indicator for future analyses. Indicators that purport to be sensitive to how well a health care system is performing showed patterns similar to those derived from more classic measures (eg, mortality, low birth weight). Furthermore, the "system sensitive indicators" did not appear to be sufficiently independent of utilization biases.

Adolescent↗
PubMed1986

Socio-medical indicators of health in South Africa.

Socio-medical indicators developed by WHO for monitoring progress towards Health-for-All have been adapted to reveal, clearly and objectively, the devastating impact of state planning based on an outmoded immoral and unscientific philosophy of race superiority in South Africa on the health of the disenfranchised majority within the context of social and economic discrimination; Health policy indicators confirm that the government is committed to three options (Bantustans, A New Constitution, and A Health Services Facilities Plan) all of which are inconsistent with the attainment of Health-for-All; Social and economic indicators reveal gross disparities between African, Coloured, Indian, and White living and working conditions; Provision of health care indicators show the overwhelming dominance of high technology curative medical care consuming about 97 percent of the health budget with only minor shifts towards community-based comprehensive care; and Health status indicators illustrate the close nexus between privilege, dispossession and disease with Whites falling prey to health problems related to affluence and lifestyle, while Africans, Coloureds, and Indians suffer from disease due to poverty. All four categories of the indicator system reveal discrepancies which exist between Black and White, rich and poor, urban and rural. To achieve the social goal of Health-for-All requires a greater measure of political commitment from the state. We conclude that it is debatable whether a system which maintains race discrimination and exploitation can in fact be adapted to provide Health-for-All.

Adult↗
PubMed2003

The role of federally funded health centers in serving the rural population.

CONTEXT: Federally funded health centers attempt to improve rural health by reducing and eliminating access barriers to primary care services. PURPOSE: This study compares rural health center patients with people in the general rural population for indicators of access to preventive services and health outcomes. METHODS: Data from the annual reporting system for federally funded health centers, the 1999 Uniform Data System, and published national census data were used to provide sociodemographic comparisons. Selected health status indicators, preventive services utilization, and health outcomes were obtained from a survey of health center patients, and the results were compared with the National Health Interview Survey and National Vital Statistics. FINDINGS: Unlike the nation's rural population, the majority of rural health center patients are of minority race/ethnicity, live at or below poverty, and are either uninsured or on Medicaid. Despite having higher prevalence of traditional access barriers than the general rural population, rural health center patients are significantly more likely to receive certain preventive services and also to experience lower rates of low birthweight, particularly for African American infants. However, rural health center patients are not more likely to have received influenza vaccination or up-to-date mammogram screening. CONCLUSIONS: Health centers provide access to essential preventive care for many of the most vulnerable rural residents. A national strategy to expand the rural health center network will likely help to ensure improved health for the considerable proportion of rural residents who still lack access to appropriate services.

Adolescent↗
PubMed1975

Relationship between work environment and anamnestic health status. Use of predictors, indicators and indices for the evaluation of medical and environmental factors.

Experience with computerized medical record systems in handling medical data in hospital and health screening environments has led to the development of a new approach to the evaluation of medical data. Predictors and indicators quantify the "information value" of medical data and can, theoretically, do so for all types of data. This paper describes the methodology and presents the results obtained when the technique was applied to the anamnestic data of the medical history and environmental data about the conditions in the work environment. Over 4,000 individuals who underwent multiphasic health screening were used as a data base for this study. From these 4,000 persons 3,164 were used for the calculation of anamnestic predictors and indicators and 1,013 for the environmental predictors and indicators. Anamnestic environmental indices were calculated upon 77 test individuals so as to correlate the association and dependence of the two indices.

Environmental Exposure↗
PubMedDate not supplied

Cigarette smoking and self-reported health problems among U.S. high school seniors, 1982-1989.

PURPOSE: To estimate the independent effect of cigarette smoking on respiratory tract symptoms and health status indicators among high school seniors. DESIGN: Consolidated data sets from one-time cross-sectional survey designs. SETTING: High schools in the United States, 1982-1989. SAMPLE: A total of 26,504 high school seniors, with an 83% response rate. MEASURES: Odds ratios for respiratory tract symptoms and health status indicators for cigarette smokers compared with nonsmokers, while controlling for sex, socioeconomic status, and use of other drugs. RESULTS: High school seniors who were regular cigarette smokers and who began smoking by grade nine were significantly more likely than never smokers to report shortness of breath when not exercising (adjusted odds ratio [OR] = 2.7), coughing spells (OR = 2.1), productive cough (OR = 2.4), and wheezing or gasping (OR = 2.6). These smokers were also more likely to have seen a doctor or other health professional for an emotional or psychologic complaint (OR = 3.0) and to rate their overall health as poorer than average (OR = 2.4). We found strong dose-response relationships for most outcome measures. CONCLUSIONS: Cigarette smoking among high school seniors is associated with respiratory tract symptoms and poorer overall physical health and may be a marker for underlying mental health problems. Smoking prevention activities directed at adolescents should include information on the early adverse health consequences of cigarette smoking.

Adolescent↗
PubMed1975

Aggregated physiological measures of individual and group health status.

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.

Health Status Indicators↗
PubMed1981

Choosing measures of health status for individuals in general populations.

This paper offers suggestions to adi the selection of appropriate instruments and data gathering methods for studies that require measures of personal health status applicable in general populations. Before selecting measures, the reason for studying health status must be identified. Next, definitional issues arise when attempting to specify the components of health that are to be studied. Evidence supports restriction of the definition of personal health status to its physical and mental components, rather than including social circumstances as well. In evaluating the suitability of available measures, three features must be considered: 1) practicality in terms of administration, respondent burden, and analysis; 2) reliability in terms of the study design and group or individual comparisons; 3) validity, in terms of providing information about the particular health components of interest to the study. Evaluating validity will be difficult for most available measures; careful attention to item content will be helpful in choosing appropriate measures. Despite problems in development and interpretation, overall health status indicators will prove useful to many studies and should be considered, as should both subjective and objective measures of health status. Given that the reasons to measure health have been identified, the aspects of health to be measured specified, and attention paid to their suitability, appropriate measures may often be found among those now available.

Data Collection↗
PubMed2006

Contributions to variability of clinical measures for use as indicators of udder health status in a clinical protocol.

A cross-sectional observational study with repeated observations was conducted on 16 Danish dairy farms to quantify the influence of observer, parity, time (stage in lactation) and farm on variables routinely selected for inclusion in clinical protocols, thereby to enable a more valid comparison of udder health between different herds. During 12 months, participating herds were visited 5 times by project technicians, who examined 20 cows and scored the selected clinical variables. The estimates of effect on variables were derived from a random regression model procedure. Statistical analyses revealed that, although estimates for occurrence of several the variables, e.g. degree of oedema, varied significantly between observers, the effects on many of these estimates were similar in size. Almost all estimates for occurrences of variables were significantly affected either parity and lactation stage, or by both e.g. udder tissue consistency. Some variables, e.g. mange, had high estimates for the farm component, and others e.g. teat skin quality had a high individual component. Several of the variables, e.g. wounds on warts, had a high residual component indicating that a there still was a major part of the variation in data, which was unexplained. It was concluded that most of the variables were relevant for implementation in herd health management, but that adjustments need to be made to improve reliability.

Animals↗
PubMed1997

Primary health care in Swaziland: is it working?

A historical picture of health services in Swaziland and an analysis of primary health care services from 1983 to 1995 are presented. The paper gives background information on health and health services, including education and training of health workers and health status indicators. Evaluations of the primary health care strategy since its inception in 1983 are discussed. Successes are identified and areas where improvement is needed to achieve the WHO goal of 'Health For All' are suggested.

Adolescent↗
PubMed1991

[Child health in the states of Ceará, Rio Grande do Norte and Sergipe, Brazil: description of a methodology for community diagnosis].

No reliable data are available from most Brazilian states for a number of child health indicators, such as nutritional status, breast feeding, vaccine coverage, incidence and management of infectious diseases, and coverage of antenatal and perinatal services. However a methodology has been developed for state-wide, community-based health surveys for the obtaining of such information, which was recently applied in studies of representative samples of children from the states of Ceará, Sergipe and Rio Grande do Norte in Northeastern Brazil. The present report describes the key aspects of this methodology and some of the main findings. These results point out to the need for promoting breast feeding, increasing vaccine coverage, improving diarrhoea management with oral rehydration therapy and investing in antenatal and perinatal care, as well as in growth monitoring. They also show that child survival activities are paradoxically concentrated on higher-income, lower risk children. Besides contributing to the planning and evaluation of health programs, community-based child health surveys provide baseline data against which future progress may be ascertained.

Anthropometry↗
PubMed2001

[Health indicators in Tunisia, trends in regional disparities over the last thirty years].

The measure of health indicators on a regional-scale seems more interesting then the measure on a national-scale. It allows us to study differences between regions and their evolution. In order to know the time trend's disparities between regions, we have studied seven indicators, concerning different types of the World Health Organisation's classification, using data from yearly statistics and results of decennial census. Regional disparities are evaluated by a ratio between the highest regional value and the lowest regional value. This study showed us a global trend to the decline of regional disparities about indicators that we have studied. The improvement of health care resources indicators and socioeconomic's indicators, in the process of time, is associated with the improvement of health status indicators. The study of regional disparities makes possible to target actions for health in order to promote health's equity between regions.

Delivery of Health Care↗
PubMed2005

The nutrition and health transition in the North West Province of South Africa: a review of the THUSA (Transition and Health during Urbanisation of South Africans) study.

OBJECTIVE: To describe how urbanisation influences the nutrition and health transition in South Africa by using data from the THUSA (Transition and Health during Urbanisation of South Africans) study. DESIGN: The THUSA study was a cross-sectional, comparative, population-based survey. SETTING: The North West Province of South Africa. SUBJECTS: In total, 1854 apparently healthy volunteers, men and women aged 15 years and older, from 37 randomly selected sites. Pregnant and lactating women, those with diagnosed chronic diseases and taking medication, with acute infections or inebriated were excluded but screened for hypertension and diabetes mellitus. Subjects were stratified into five groups representing different levels of urbanisation in rural and urban areas: namely, deep rural, farms, squatter camps, townships and towns/cities. OUTCOME MEASURES AND METHODS: Socio-economic and education profiles, dietary patterns, nutrient intakes, anthropometric and biochemical nutrition status, physical and mental health indicators, and risk factors for non-communicable diseases (NCDs) were measured using questionnaires developed or adapted and validated for this population, as well as appropriate, standardised methods for the biochemical analyses of biological samples. RESULTS: Subjects from the rural groups had lower household incomes, less formal education, were shorter and had lower body mass indices than those in the urban groups. Urban subjects consumed less maize porridge but more fruits, vegetables, animal-derived foods and fats and oils than rural subjects. Comparing women from rural group 1 with the urban group 5, the following shifts in nutrient intakes were observed: % energy from carbohydrates, 67.4 to 57.3; from fats, 23.6 to 31.8; from protein, 11.4 to 13.4 (with an increase in animal protein from 22.2 to 42.6 g day(-1)); dietary fibre, 15.8 to 17.7 g day(-1); calcium, 348 to 512 mg day(-1); iron from 8.4 to 10.4 mg day(-1); vitamin A from 573 to 1246 mug retinol equivalents day(-1); and ascorbic acid from 30 to 83 mg day(-1). Serum total cholesterol, low-density lipoprotein cholesterol and plasma fibrinogen increased significantly across groups; systolic blood pressure >140 mmHg was observed in 10.4-34.8% of subjects in different groups and diabetes mellitus in 0.8-6.0% of subjects. Women in groups 1 to 5 had overweight plus obesity rates of 48, 53, 47, 61 and 61%, showing an increase with urbanisation. Subjects from group 2 (farm dwellers) showed the highest scores of psychopathology and the lowest scores of psychological well-being. The same subjects consistently showed the lowest nutrition status. CONCLUSIONS: Urbanisation of Africans in the North West Province is accompanied by an improvement in micronutrient intakes and status, but also by increases in overweight, obesity and several risk factors for NCDs. It is recommended that intervention programmes to promote nutritional health should aim to improve micronutrient status further without leading to obesity. The role of psychological strengths in preventing the adverse effects of urbanisation on health needs to be examined in more detail.

Adolescent↗
PubMed1994

Development of an environmental health addendum to the Assessment Protocol for Excellence in Public Health.

This paper discusses the process used to develop an environmental health addendum to the Assessment Protocol for Public Health (APEX/PH). Local health departments in Washington State are undertaking a trial program utilizing APEX/PH. The environmental health addendum was developed in response to the paucity of environmental health-oriented data requested in APEX/PH, Part II, the Community Process, and includes environmental exposure indicators as well as health status indicators. The methods used to gain a consensus among key environmental health professionals in Washington State are discussed and an environmental issue prioritization scheme is recommended. The need for the environmental health addendum and future work on the addendum and APEX/PH are discussed.

Environmental Health↗
PubMed1992

Towards a capitation formula for competing health insurers. An empirical analysis.

In many countries the concept of capitating health care insurers is receiving increasing attention. The main reason is, that capitation may induce health care insurers in a competitive environment to concentrate more on cost containment. However, if the adjusters on which capitation payments are based, are too global, there may be ample room for risk selection by the insurers whilst also an unfair distribution of funds over the insurers may result, thereby undermining the objectives of capitation. The prime motivation for the present study is, that the Dutch government, as part of proposals for a new, market oriented structure of health care system, is considering to capitate insurers on the basis of global parameters like age, gender and location. Our analysis based on panel data of some 35,000 individuals, shows that the proportion of variance in annual health care expenditures that can be predicted (R2) by such a global capitation formula, is only 0.024. This is less than 1/5 of our estimate of the theoretically maximum achievable R2 which amounts to 0.138, implying the existence of abundant selection opportunities, e.g. on the basis of past expenditures or other health indicators. Alternative capitation formulae incorporating prior-year's costs and reaching about 3/5 of the maximum obtainable R2, effectively remove the profitableness of selection on the basis of past expenditures. The findings suggest, however, that selection via (chronic) health status may still be profitable to some extent. Therefore, we also analyzed data from the Dutch Health Interview Survey (N approximately 20,000) which comprised better health indicators. It appeared that a capitation formula based on the global adjusters mentioned above as well as three health status indicators and several background characteristics, yields an R2 of about 0.114, which probably accounts for 3/4 of our estimate of the maximum obtainable R2. The main conclusion is, that in the short term information on prior expenditures, which is available in the files of most insurers and thus may be used for risk selection, should be included in the capitation formula. For the more distant future, the formula should be expanded with indicators of chronic health status, possibly based on diagnostic information from previous, non-discretionary hospitalizations.

Age Factors↗
PubMed2006

Nondaily smokers should be asked and advised to quit.

BACKGROUND: Nondaily smokers are a growing subpopulation of smokers. Current cessation guidelines were developed for daily smokers, and how clinicians might help nondaily smokers is not clear. METHODS: Analyzing the 2000 National Health Interview Survey in 2004, we compared characteristics of nondaily smokers with never smokers and daily smokers. We used multivariate logistic regression to compare predictors of wanting to quit in 6 months between nondaily and daily smokers. RESULTS: About one in five current smokers was a nondaily smoker. Nondaily smokers reported better health than daily smokers, but had some health status indicators suggesting worse health than never smokers. Nondaily smokers were more likely to want to quit (odds ratio [OR]=1.31, 95% confidence interval [CI]=1.10-1.56) than daily smokers, but were less likely to report a physician having asked about tobacco use (41% vs 50%, p<0.0001) or advised quitting (31% vs 41%, p<0.0001). In both nondaily and daily smokers, physician advice (nondaily OR=1.50, 95% CI=1.03-2.2; daily OR=1.58, 95% CI=1.32-1.89), and the belief that secondhand smoke harms others (nondaily OR=1.48, 95% CI=1.04-2.1; daily OR=1.80, 95% CI=1.56-2.1), predicted wanting to quit. Higher-educated nondaily smokers were less likely to want to quit (OR=0.54, 95% CI=0.32-0.91), unlike in daily smokers (OR=1.48, 95% CI=1.15-1.89). Latino nondaily smokers were less likely (OR=0.43, 95% CI=0.30-0.64) than whites, and African-American daily smokers were more likely (OR=1.27, 95% CI=1.04-1.55) than whites, to want to quit. CONCLUSIONS: While daily smokers may seem a higher cessation priority, nondaily smokers may be more likely to quit with brief interventions. Cessation messages should address health risks of any smoking, ethnic differences, smoke-free messages, and situational triggers.

Adolescent↗