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PubMed2006

Impact of obesity on the health status of heart failure patients.

BACKGROUND: Obesity is a recognized, preventable risk factor for the development of heart failure (HF); however, little is understood about its effects on patients with established HF. Furthermore, few researchers have assessed obesity's effect on the health status of established HF patients. This study evaluated the influence of obesity on the health status, at baseline and 1 year later, on patients with established HF. METHODS AND RESULTS: Comprehensive clinical data, health status, and obesity classification of 543 HF outpatients from 13 centers was assessed at baseline and 1 year later. Health status was quantified with the generic Short Form-12 and disease-specific Kansas City Cardiomyopathy Questionnaire Overall Summary score. Cross-sectional and longitudinal risk-adjusted general linear models were computed comparing the health status of patients who were classified as either underweight, normal weight, overweight, or obese. Obesity classification was not significantly associated with patients' baseline health status and did not predict 1-year health status. CONCLUSIONS: Although obesity has been reported to confer a survival advantage to patients with HF, it was not associated with better health status at baseline, or after 1 year, in our cohort. Better understanding of the relationship among HF, body weight, and health status is needed before evidence-based recommendations can be made regarding weight management for HF patients.

Aged↗

PubMedDate not supplied

Concordance of Cornell medical index self-reports to structured clinical assessment for the identification of physical health status.

Self-reported questionnaires are frequently used to assess health status in epidemiological studies. The Cornell medical index is one such tool used to determine the presence of physical and psychiatric illness but its accuracy and value have been questioned. In this study we have assessed the ability of the CMI to predict health status in two separate patient populations (n = 101, 88) by comparison to a structured medical assessment based on the SENIEUR protocol by two physicians. There was good agreement between medication use reported on the CMI and on medical assessment (k = 0.79; CI: 0.70-0.88). Accuracy of prediction of the CMI for specific medical conditions was good 89-99%. A threshold score from the CMI was not predictive of health as determined by the SENIEUR protocol. In our older populations, we conclude that the CMI accurately predicted health status. The determination of normal health by a threshold score was poorly predictive of heath status. Self-reported medication use was the best predictor of health status.

Aged↗

PubMed1989

Using proxies to evaluate quality of life. Can they provide valid information about patients' health status and satisfaction with medical care?

Instruments using interview data to measure health status have been increasingly used to measure patient outcomes. To assess the potential utility of proxy responses about health status when subjects are unable to respond, the authors compared the responses of 60 subject and proxy pairs on instruments measuring overall current health, functional status, social activity, emotional health, and satisfaction with medical care. Proxies were asked to respond as they thought the subject would. Subject and proxy responses were strongly correlated with each other for overall health, functional status, social activity, and emotional health (P less than .001), and moderately correlated for satisfaction (P less than .005). Proxies reported lower emotional health and satisfaction than did subjects (P less than .005). Proxy and subject mean responses were generally similar for overall health, functional status, and social activity. However, those proxies who spent more time per week helping the subject rated the subject's functional status and social activity as more impaired than did the subject (P less than .05). Subjects who had poorer overall health tended to rate their health relatively lower than did the proxies (P less than .05). These results suggest that use of proxies intermingled with subjects to measure health status through interview may lead to biased results.

Activities of Daily Living↗

PubMedDate not supplied

Health status and the cost of expanding insurance coverage.

This paper uses data on health spending and health status from the Medical Expenditure Panel Survey (MEPS) to estimate the differences in health spending across different types of insurance and across incomes that are attributable solely to health status differences. The results show that the uninsured are less costly than those on Medicaid, based on health status alone, but are more costly than those with employer-sponsored insurance. Adults and children with private nongroup coverage are also less expensive than average, because of better-than-average health. Finally, the data show that expenditures fall (health status improves) with income, regardless of type of coverage.

Adult↗

PubMed1997

Health status and risk factors of seminomadic pastoralists in Mongolia: a geographical approach.

The particular lifestyle of nomadic or seminomadic people has much to do with their health status. This discussion of the conceptual basis and some preliminary results of the 1992-94 health status and risk factor survey in Mongolia serves to highlight some of the relationships existing between the general health status and potential risk factors observed among pastoral nomads. In addition to graphic description of the data, a statistical analysis suggests significant associations between certain health status indicators and gender, location, lifestyle factors (e.g. smoking) socio-economic status, preventive health care and the physical environment. With regard to locational factors, there are strong regional differences in a wide-ranging number of health status indicators. The results of this study, obtained as they were at the threshold of Mongolia's economic and political transformation, will serve as a baseline against which to evaluate future changes in the health of Mongolians.

Adolescent↗

PubMed2002

The health capital of families: an investigation of the inter-spousal correlation in health status.

This study documents and analyzes the inter-spousal correlation in health status (ISCIHS) among married couples in later life. A simple economic theory is developed that integrates standard theories of marriage markets and health capital formation. This theory implies that several causal factors will lead to a positive correlation in the health status of spouses. These include assortative matching in the marriage market along dimensions related to health (such as education); a tendency to share common life-style behaviors such as diet, smoking and exercise; shared environmental risk factors for disease; and a potential for direct effects of the health of one spouse on the health of the other. Empirical estimates using the 1992 Health and Retirement study in the USA demonstrate that ISCIHS is large in magnitude, highly statistically significant, and robust to alternative measures of health status. ISCIHS exists even after controlling for age, education, income, and other socioeconomic and demographic determinants of health status, including behavioral risk factors. These covariates reduce the overall correlation coefficient by 33% to 57%, depending on the health measure, which suggests both that marriage formation and decision making processes systematically affect health in later life and that heretofore unidentified risk factors for disease and disability exist at the household level.

Activities of Daily Living↗

PubMed1996

Health status of Medicare enrollees in HMOs and fee-for-service in 1994.

We compared the health status of 863 health maintenance organization (HMO) enrollees with that of 4,576 non-enrollees, controlling for demographics and area of residence, using 1994 data from the Medicare Current Beneficiary Survey (MCBS). HMO respondents were less likely to report fair or poor health, functional impairment, or heart disease. Average predicted costs based on various health-status measures were substantially lower for HMO respondents than for respondents in fee-for-service (FFS) arrangements. The Medicare payment formula for HMOs does not adequately adjust for the better health and consequent lower expected costs of HMO enrollees. The addition of health-status measures would improvement payment accuracy and reduce average HMO payments significantly below current levels.

Activities of Daily Living↗

PubMedDate not supplied

Lack of congruence in the ratings of patients' health status by patients and their physicians.

PURPOSE: The purpose of this study was to examine if physician assessments of their patients' health status after the medical encounter are comparable to their patients' self-assessment of their own health. METHODS: Consecutive patients with musculoskeletal diseases were recruited when they attended 1 of the rheumatology outpatient clinics selected for the study. Five physicians participated in the study, 4 based at an academic center and 1 in the community. Patients were interviewed after seeing the physician; they completed health status questionnaires (mHAQ and SF-12) and rated their pain, worry about disease, and overall health status on visual analog scales. Standard gamble techniques were used to obtain patient utilities in relation to their health status, "gambling" on the probability of obtaining perfect health from an intervention with varying risks of death. After the medical encounter, physicians were asked to rate their patients' health status with similar instruments and with standard gamble elicitation techniques, blinded to the patients' responses. RESULTS: A total of 105 patients participated in the study; 70% were female; mean age was 54+/-16 years; 64% had a connective tissue disease, most commonly rheumatoid arthritis; and the other diseases in this group included soft tissue rheumatism, osteoarthritis, or low back pain. Statistically significant differences were observed between patient and physician ratings for pain, overall health, and standard gamble. On average, physicians rated their patients' health status higher than the patients themselves and were less willing to gamble on the risk of death versus perfect health. Intraclass correlation coefficients (ICC) were low: 0.42 for pain, 0.11 for worry, 0.11 for overall health, and 0.04 for standard gamble utilities. Similar findings were observed when subgroup analysis was performed for individual physicians and for patients with connective tissue diseases. No specific patient characteristic consistently related to increased divergence in the ratings. CONCLUSIONS: These findings suggest that the communication between physicians and their patients at the time of the medical encounter needs to be enhanced. An understanding of their patients' health perceptions may assist physicians in suggesting appropriate interventions, taking into account their patients' benefit-risk preferences.

Attitude of Health Personnel↗

PubMed2004

Impact of preventing exacerbations on deterioration of health status in COPD.

Exacerbations of chronic obstuctive pulmonary disease (COPD) are associated with worse health status. The Inhaled Steroids in Obstructive Lung Disease in Europe (ISOLDE) study showed that treatment with fluticasone propionate (FP) reduced exacerbation frequency and the rate of deterioration in health status as compared with placebo. The present study analysed these data to test whether the effect of FP on health status was attributable to its effect on exacerbations. Rates of deterioration in St George's Respiratory Questionnaire (SGRQ) total score were obtained for 613 patients with moderate to severe COPD followed for a maximum of 3 yrs. Exacerbation rates were skewed and could not be normalised, therefore, patients were stratified into three exacerbation groups: none, infrequent (<1.65 exacerbations x yr(-1)) and frequent (>1.65 exacerbations x yr(-1)). There were 91 patients with no exacerbations, 285 with infrequent exacerbations and 235 with frequent exacerbations. Frequent exacerbations were independently associated with a worse baseline SGRQ score (p<0.0001) and a more rapid rate of deterioration in health status (p=0.0003). Exacerbation frequency and rate of decline in forced expiratory volume in one second were independently related to the rate of deterioration in SGRQ score. Statistical modelling showed the beneficial effect of fluticasone propionate on deterioration in health status to be largely due to its effect on exacerbation frequency.

Adult↗

PubMed1998

Religious coping and health status in medically ill hospitalized older adults.

Associations between specific religious coping (RC) behaviors and health status in medically ill hospitalized older patients were examined and compared with associations between nonreligious coping (NRC) behaviors and health status. The sample consisted of 577 patients age 55 or over consecutively admitted to the general medical inpatient services of Duke University Medical Center (78%) or the Durham VA Medical Center (22%). Information was gathered on 21 types of RC, 11 types of NRC, and 3 global indicators of religious activity (GIRA). Health measures included multiple domains of physical health, depressive symptoms, quality of life, stress-related growth, cooperativeness, and spiritual growth. Demographic factors, education, and admitting hospital were control variables. "Negative" and "positive" types of religious coping were identified. Negative RC behaviors related to poorer physical health, worse quality of life, and greater depression were reappraisals of God as punishing, reappraisals involving demonic forces, pleading for direct intercession, and expression of spiritual discontent. Coping that was self-directed (excluding God's help) or involved expressions reflecting negative attitudes toward God, clergy, or church members were also related to greater depression and poorer quality of life. Positive RC behaviors related to better mental health were reappraisal of God as benevolent, collaboration with God, seeking a connection with God, seeking support from clergy/church members, and giving religious help to others. Of 21 RC behaviors, 16 were positively related to stress-related growth, 15 were related to greater cooperativeness, and 16 were related to greater spiritual growth. These relationships were both more frequent and stronger than those found for NRC behaviors. Certain types of RC are more strongly related to better health status than other RC types. Associations between RC behaviors and mental health status are at least as strong, if not stronger, than those observed with NRC behaviors.

Adaptation, Psychological↗

PubMed1989

Advances in health status assessment. Overview of the conference.

Although the art and science of health status measurement have a considerable history that is in some ways as old as the healing arts themselves, interest and developments in this field have accelerated in the last two decades. To take advantage of this encouraging environment, the Henry J. Kaiser Family Foundation sponsored its second conference on Advances in Health Status Assessment. It had two major goals: first, to let developers and potential users of health assessment tools explore further the conceptual and methodologic issues of particular concern to them; second, to highlight advances in applying these tools to clinical practice, clinical and biomedical research, and policy research. This monograph reports on the proceedings of that conference: three overviews and nine empirical reports in the above mentioned areas, one special report on health promotion, and four studies on particular methodologic issues: barriers to the use of health status assessment instruments; the advantages and limitations of generic and disease-specific measures; incorporating patient utilities into health status measures; and discounting. The conference highlighted both the considerable advances made in this field in the recent past and the numerous conceptual, methodologic, and practical problems yet to be resolved.

Health Services Research↗

PubMed1990

Assessment of patients' health status in family medicine.

General Practitioners feel increasing pressure from Public Health authorities to evaluate their work but generally accept outcome indices such as morbidity and mortality are too far away from GP practices to allow direct evaluation conclusions. A simple instrument is needed to assess the evolution in the health status of the populations the GP serves. To design such an instrument we developed a short, inexpensive questionnaire, to be filled in by the GP, that covers as many fields of health care as possible and reflects as closely as possible the specific approach in family practice. To construct this instrument five Guttman scales were first developed that refer to the five frameworks of though that a general practitioner uses, and submitted them to a process of validation. A composite index (SAMI) was mathematically derived from these five scales; it proved to be a valid instrument for measuring health status. To field test the SAMI index, a prospective cohort study was carried out in two subpopulations, Belgians and migrants, consulting seven GP practices. The evolution of four reasons for encounter (low back pain, pregnancy, diabetes and epigastralgia) were monitored by means of the five scales and the SAMI index. The evaluative conclusion that, despite special efforts of the GPs, their approach to migrants has to be reconsidered, is drawn. Above all the field test has shown that the five measurement scales and the global SAMI index are valid instruments, of easy use in general practice, that allow to assess the global health status of patient populations and give opportunities for evaluation of PHC services.

Back Pain↗

PubMed1997

Understanding changes in health status. Is the floor phenomenon merely the last step of the staircase?

OBJECTIVES: Previous studies have found that health-status measures may be unable to detect clinically important changes for patients whose baseline health is poor (the "floor phenomenon"). It is not known whether this inability to detect change is confined to patients in very poor baseline health or whether the sensitivity of health-status instruments varies across the entire range of health states. The goals of this study were to see how changes in physical health, mental health, and overall health (1) depend on baseline (usual) health and (2) compare with patients' global assessment of changes in their health. METHODS: Stable, ambulatory patients presenting to the emergency department of a public hospital retrospectively rated their usual physical health (eight items), mental health (three items), and overall health (one item); their health on the day of study entry using these same items; and their global assessment of the change in their health compared with baseline. Complete information on these items was available for 1,005 patients. Baseline scores on the physical and mental health subscales and the overall health item were divided into five categories: 81 to 100 (best), 61 to 80, 41 to 60, 21 to 40, and 0 to 20 (worst). RESULTS: The mean difference in health from baseline to emergency department presentation decreased as the baseline health category worsened, as follows: physical health, -26.0, -35.9, -15.1, -9.5, +1.0; mental health, -23.0, -16.1, -9.6, 0.0, 6.6; overall health -64.0, -45.3, -28.4, -8.4, 10.4, respectively. However, patients' global assessment of health change showed the opposite trend; the proportion of patients rating their health as "much worse" than baseline increased as baseline health worsened. When only patients whose physical health score declined less than 10 points were analyzed, 14% of those in the best baseline health said their health was "much worse," whereas 74% of those with the worst baseline physical health said their health was "much worse" than baseline. CONCLUSIONS: These findings suggest that the sensitivity of health-status measures to change and the meaning of an incremental change in physical health or mental health vary depending on baseline health. This may result from noninterval properties of response options or from patients being at the lowest health state (the "floor") of individual questions. If health-status measures similar to this are to be used to compare the outcomes of treatment across diseases and for patients in a wide variety of baseline health states, weighting schemes may be needed to account for these effects.

Analysis of Variance↗

PubMedDate not supplied

A framework for describing the impact of antidepressant medications on population health status.

BACKGROUND: In the absence of strategies for primary prevention, public health initiatives for major depression have generally focused on secondary and tertiary strategies such as case-finding, public and professional education and disease management. Much emphasis has been placed on low reported rates of antidepressant utilization. In principle, increased rates of treatment utilization should lead to improved mental health status at the population level. However, methods for relating antidepressant utilization to population health status have not been described. METHODS: An incidence-prevalence model was developed using data from a Canadian national survey, supplemented by parameter estimates from literature reviews. The lifetime sick-day proportion (LSP) was used to approximate point prevalence. RESULTS: Mathematical simulations using this model produced reasonable approximations of point prevalence for major depression. The model suggests that an improved rate of treatment utilization may not, in itself, lead to substantially reduced prevalence. Reducing the rate of relapse in those with highly recurrent disorders, which can be accomplished by long-term antidepressant treatment, is predicted to have a more substantial impact on population health status. CONCLUSIONS: The model presented here offers a framework for describing the impact of antidepressant treatment on population health status. Mathematical models may assist with decision-making and priority setting in the public health sphere, as illustrated by the model presented here, which challenges some commonly held assumptions.

Antidepressive Agents↗

PubMed2005

Race, gender, and incident dialysis patients' reported health status and quality of life.

Patient-reported physical and mental health status, along with disease-specific concerns ("quality of life") reported by patients, provide information about experience on dialysis that can help to improve patient care. Among prevalent hemodialysis (HD) patients, blacks have been shown to report higher health status and quality of life scores than whites, but whether similar race differences characterize incident patients who start regular dialysis is not known. Health status and quality of life, measured by the Kidney Disease Quality of Life-Short Form, reported by black men, black women, white men, and white women who initiated HD and peritoneal dialysis (PD) in the Dialysis Morbidity and Mortality Study (DMMS) Wave 2 were examined. After adjustment for patients' sociodemographic and clinical characteristics, the only race differences observed were that among HD patients, black women scored highest on the burden of kidney disease measure (lower perceived burden), and among PD patients, black men had the lowest satisfaction with care scores. It is possible that differences between blacks' and whites' reported health status and quality of life become more evident as patients' dialysis vintage increases, a hypothesis that requires following a well-characterized incident cohort over time. These findings add to existing evidence that minority patients on dialysis report less satisfaction with their care than do white patients, an important area for continued study.

Adolescent↗

PubMed1989

Health status and disease activity in systemic lupus erythematosus.

The physical manifestations of disease activity and health status of patients with systematic lupus erythematosus (SLE) were measured in this study. Forty-nine patients completed the Arthritis Impact Measurement Scale (AIMS) and consented to examination for physical features of SLE documented by a Clinical Activity Index (CAI). Results showed a mean score of 22 on the AIMS and 6.6 on the CAI. The total scores for each measure were significantly correlated (r = 0.55, p less than 0.001), indicating a relationship between health status and clinical disease activity. The total score for CAI was significantly correlated with the physical activity, pain, and depression subscales of health status. The total score for health status was significantly correlated with mucocutaneous, musculoskeletal, and general features of CAI. Within scale correlations were also found. Mucocutaneous aspects of disease activity were significantly correlated with pain and depression. Musculoskeletal features were significantly correlated with physical activity and pain. General aspects of SLE, including fatigue, were significantly correlated with physical activity. The study concludes that there is a relationship between certain physical features of SLE and key components of health status.

Activities of Daily Living↗

PubMedDate not supplied

Taking health status into account when setting capitation rates: a comparison of risk-adjustment methods.

OBJECTIVE: To compare performance of different health status measures for risk-adjusting capitation rates. DESIGN: Cross-sectional study. Health status measures derived from 1 year were used to predict resources for that year and the next. SETTING: Group-network health maintenance organization in Minnesota. PARTICIPANTS: Sample of 18- to 64-year-old (n=3825) and elderly (aged > or = 65 years; n=1955) members enrolled in a network-model health maintenance organization in Minnesota. MAIN OUTCOME MEASURES: Total expenditures in the year concurrent with the health status survey (July 1991 through June 1992) and total expenditures in the year following the survey (July 1992 through June 1993). RESULTS: Capitation adjustment based on demographic measures performed least well. Both self-reported health status measures and diagnoses predicted future expenditures twice as well as demographics. When predicting costs for groups of patients rather than individuals, the demographic model worked well for average groups but tended to overpredict healthier groups and underpredict sicker groups. Ambulatory Care Groups based on diagnoses performed better than self-reported health status both in the retrospective models and across healthier and sicker groups. CONCLUSIONS: Without risk adjustment, capitation rates are likely to overpay or underpay physicians for certain patient groups. It is possible to improve prediction using health status measures for risk adjustment. When selection bias is suspected and administrative data are available, we recommend a risk-adjustment method based on diagnostic information. If diagnostic data are not available, we recommend a system based on simple self-reported measures, such as chronic conditions, rather than complex functional status measures.

Adult↗

PubMed2002

Health status measured with the CRQ does not predict mortality in COPD.

One purpose of measuring health status is to predict future outcomes. The aim of this study was to investigate the ability of health status derived from the Chronic Respiratory Disease Questionnaire (CRQ) to predict mortality in chronic obstructive pulmonary disease (COPD). One-hundred and forty-three patients with COPD were recruited. Health status, using the CRQ, and pulmonary function were measured at entry. Mortality after 7 yrs was then assessed. Univariate and multivariate Cox proportional hazards analyses were performed to predict those factors related to mortality. Of all the patients, 13 could not be followed up and 40 had died. The survival rate was 69% at 7 yrs. Univariate regression analyses revealed that the dyspnoea and emotional function domains and the total score of the CRQ were weakly but significantly correlated with mortality from all causes. However, multivariate regression analyses revealed that age and forced expiratory volume in one second were the strongest predictors of mortality, and health status was not a significant factor. Although there was a weak but significant relationship between health status and subsequent mortality in chronic obstructive pulmonary disease, it was not significant after an adjustment for age and pulmonary function. Mortality cannot be predicted from Chronic Respiratory Disease Questionnaire scores.

Age Factors↗