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Integrating baseline health status data collection into the process of care.

BACKGROUND: Health status data are an increasingly important component of outcomes assessment and can be used to facilitate quality assessment and improvement efforts. An enormous challenge to the use of health status data among hospitalized patients, however, is collecting baseline data at the time of treatment, an essential component for risk-adjusting subsequent outcomes. The Mid America Heart Institute of Saint Luke's Hospital (Kansas City, Mo), attempted to integrate the collection of health status assessments within the process of performing coronary revascularization. THE DATA COLLECTION STRATEGY: The data collection strategy was developed for each admission portalelective outpatients (admissions for same-day procedures), inpatients, and emergent cases. Health status data were collected on all patients with coronary artery disease who were receiving a percutaneous coronary intervention or coronary artery bypass graft with no disruption to physician scheduling or nursing staff. RESULTS: In general, patients were agreeable to completing the health status survey. Despite initial efforts to educate the hospital staff about the goal and purpose of health status assessment, staff members who were unaware of the uses of these data seemed to minimize their value. Providing examples of how to use these data relative to the staff member's specific occupational role facilitated buy-in for this project. EPILOGUE: After the pilot study, which lasted until June 1999, data were continually collected for 18 months, through August 2000, even with the cessation of external grant funding for this project. Baseline data collection finally stopped, primarily because of a failure to accommodate data collection into the routine flow of patient care by existing nursing staff.

Angioplasty, Balloon, Coronary↗

Research issues related to the oral health status of aging veterans.

This article reviews the research on the oral health status of aging veterans and offers recommendations for a research agenda that will improve their oral health and quality of life. Uniform definitions, or a "composite" measure, of overall oral health status would facilitate oral health status measurement. Because such a measure is not available, traditional oral epidemiologic indexes or treatment-needs data have been used to identify oral health status in aging veterans. Few studies of national scope have been conducted on veterans. A cost-effective alternative may be cooperative studies within the Department of Veterans Affairs (VA) and other organizations. The Department of Veterans Affairs Dental Longitudinal Study (DLS), begun in 1968, provides the richest data on an aging veteran population. More frequently, VA investigators have examined local or regional veteran populations. These studies have examined oral health status and risk factors associated with oral diseases. Unlike the DLS, most studies have been cross-sectional, and a few studies have examined the effect of systemic disease on oral health and vice versa. Key research agenda items and recommendations include: Development and validation of functional measures of oral health status; Implementation of multicenter, cooperative, descriptive, and analytic epidemiologic studies; Implementation of focused cross-sectional and longitudinal studies on oral health status, treatment needs, and patient outcomes; Enumeration of data sets in the VA system that can be shared with non-VA investigators; Implementation of targeted studies of aging populations who have specific comorbidities prevalent in VA; and Use of VA continuum of care to study the relation between oral and systemic diseases.

Aged↗

Asking the right questions of disadvantaged and homeless communities: the role of housing, patterns of illness and reporting behaviours in the measurement of health status.

OBJECTIVE: To assess the self-reported health status and its relationship to key demographic variables among patrons of a charity-run meals service at The Exodus Foundation, in urban Sydney, Australia. METHOD: Random-sample cross-sectional study of 100 face-to-face interviews (79% recruitment rate). Self-reported health status was measured by subjective rating scale, open-ended and checklist questions about presence and type of acute and chronic disease. Anaysis by logistic regression of fair-poor health status on demographic variables in Exodus patrons and genera Sydney population adjusted for age and sex using the 1995 National Health Survey. RESULTS: Compared to housed but poor counterparts within the Exodus sample, homeless people were significantly more likely to report fair-poor health status (age-adjusted OR-3.0, 95% CI 1.3-7.1). Exodus patrons, as a whole, were much more likely than Sydney's general population to report fair-poor health status, after adjusting for age and sex (OR-4.5, 95% CI 2.9-7.0) and had a more serious pattern of illness (diseases of the digestive system; depression; common cold; bronchitis; refractive errors; drug and alcohol dependence; diabetes mellitus Type II). Exodus patrons reported fewer acute and chronic illnesses with open-ended questions than with a checklist (p<0.001). CONCLUSION: In this population there was a strong relationship between poor health and homelessness. When patterns of illness and injury were measured within this disadvantaged group, they showed more serious illness types than in the general population. Such patterns may not be identified by methods often used in traditional population health surveys.

Adolescent↗

A longitudinal assessment of the health status of diabetic and nondiabetic renal transplant recipients.

This paper compares the health status of diabetic and nondiabetic renal transplant recipients. Data for the analysis were collected from 396 patients who received cadaveric transplants at 5 transplant centers in the United States. Health status was measured at several points in time, from 3 months to 15 months following transplantation. In addition to using several measures of perceived health status, 2 standardized health status measures--The Sickness Impact Profile and the Nottingham Health Profile--were used. The results of the study indicated that the health status of diabetic patients is lower than that of nondiabetic patients. Not surprisingly, nondiabetic patients are more satisfied with their health than are diabetic patients. The results of the study also showed that the health status of both diabetic and nondiabetic patients improves over time. However, with the exception of work disability, the improvement in the health status of transplant patients during the period from 3 to 12 months posttransplant is much greater for diabetic patients than for nondiabetic patients.

Consumer Behavior↗

A comparison of three health status indicators.

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.

Disability Evaluation↗

The impact of migraine on health status.

PROBLEMS: What is the effect of migraine on health status, defined as the patient's physical, psychological, and social functioning? And, suppose that the health status of migraine sufferers appears to be impaired, to what extent is this a consequence of migraine-associated comorbidity rather than of migraine itself? METHODS: A group of 846 migraineurs, selected from the general population following IHS criteria, and a control group were surveyed with the Medical Outcomes Study 36-item Short-Form Health Survey, Nottingham Health Profile, EuroQol instrument, and the COOP/WONCA charts. Questions on demographic characteristics and comorbidity were included. RESULTS: The health status of migraineurs appeared to be significantly impaired in comparison to the control group. Because statistical significance is distinct from relevance, effect size estimators were employed. Although the direction of the differences indicated consistently a worse health status of the migraineurs, regardless of the instrument used, the sizes of the differences were small to medium. Self-reported comorbidity, especially depression, was more prevalent in the migraine group. However, this offered only a partial explanation for the impaired health status of the migraine group. CONCLUSIONS: Migraine has an independent moderately deteriorating effect on the daily functioning of individuals.

Adult↗

No exit? The effect of health status on dissatisfaction and disenrollment from health plans.

OBJECTIVE: To examine the implications of serious and chronic health problems on the willingness of enrollees to switch health plans if they are dissatisfied with their current arrangements. DATA SOURCE: A large (20,283 respondents) survey of employees of three national corporations committed to the model of managed competition, with substantial enrollment in four types of health plans: fee-for-service, prepaid group practice, independent practice associations, and point-of-service plans. STUDY DESIGN: A set of logistic regression models are estimated to determine the probability of disenrollment, if dissatisfied, controlling for the influence on satisfaction and disenrollment of age, race, education, family income and size, gender, marital status, mental health status, pregnancy, duration of employment and enrollment in the plan, number of alternative plans, and HMO penetration in the local market. Separate coefficients are estimated for enrollees with and without significant physical health problems. Additional models are estimated to test for the influence of selection effects as well as alternative measures of dissatisfaction and health problems. DATA COLLECTION: Data were collected through a mailed survey with a response rate of 63.5 percent; comparisons to a subsample administered by telephone showed few differences. PRINCIPAL FINDINGS: In group/staff model HMOs and point-of-service plans, only 12-17 percent of the chronically ill enrollees who were so dissatisfied when surveyed that they intended to disenroll actually left their plan in the next open enrollment period. This compared to 25-29 percent of the healthy enrollees in these same plans, who reported this level of dissatisfaction and 58-63 percent of the enrollees under fee-for-service insurance. CONCLUSIONS: Switching plans appears to be significantly limited for enrollees with serious health problems, the very enrollees who will be best informed about the ability of their health plan to provide adequate medical care. These effects are most pronounced in plans that have exclusive contracts with providers. We conclude that disenrollment provides only weak safeguards on quality for the sickest enrollees and that reported levels of dissatisfaction and disenrollment represent inaccurate signals of plan performance.

Adult↗

The short form 36 health status questionnaire: clues from the Oxford region's normative data about its usefulness in measuring health gain in population surveys.

OBJECTIVES: To determine the potential of the short form 36 health status questionnaire (SF-36) for indicating changes in the health status of a general population by examining the recently published normative data. DESIGN: The sensitivity of the SF-36 was tested through hypothesising two dramatic changes in health status whereby (i) the scores of people in social class V are improved to the level of social class I, and (ii) the scores of men and women aged 55 to 64 are altered to the level of current 45 to 54 year olds. The size of the effect measured by the SF-36 was considered. RESULTS: Small to moderate effects were evident when SF-36 mean scores for social class V were increased to the level of social class I, and primarily negligible effects were apparent on all domains but physical function for the postulated "10 years of age" improvement. CONCLUSION: The SF-36 may be a useful measure for detecting changes in health status in homogenous treatment groups, but the variation in responses in a general population make it an inadequate tool for assessing the diffuse impact of health interventions directed at the whole community.

Health Status↗

CDC's consensus set of health status indicators: monitoring and prioritization by state health departments.

A survey assessed the extent to which state health departments monitor and prioritize the Centers for Disease Control and Prevention's consensus set of health status indicators. A response rate of 100% was obtained. Although mortality indicators are often monitored, only 75.5% of the states monitor work-related injury deaths. Most states monitor the incidence of acquired immunodeficiency syndrome, measles, tuberculosis, and syphilis. Low birthweight, births to adolescents, and lack of prenatal care are monitored in nearly all states and are considered high-priority problems. Only 46.9% of states are monitoring poor air quality, and only 58.8% are monitoring childhood poverty. Survey results suggest a need for standardized assessment of indicators for policy development and program planning.

Adolescent↗

Is telehealth the right tool for remote communities? Improving health status in rural Australia.

The health status of people in rural and remote areas, particularly of Indigenous Australians, has been widely reported to be poorer than their urban counterparts. Health care in rural and remote Australia has relied on the work of nurses, often in the absence of medical or allied health personnel other than via telecommunication. Over the last 5 years telehealth has been heavily promoted as an innovative and effective way of improving the health status of people in rural and remote areas by providing improved access to specialist care. Through national infrastructure development and funding for a vast array of pilot projects, telehealth provision has been promoted as progressive, effective, and modern. This Editorial reviews the literature and highlights a need for additional research around telehealth-mediated patient practitioner relationships.

Australia↗

Health-related quality of life after ileoanal pull-through evaluation and assessment of new health status measures.

BACKGROUND & AIMS: Health-related quality of life (HRQL) after proctocolectomy is a critical parameter for management decisions in patients with chronic pancolitis. The aim of this study was to evaluate the HRQL of patients with ileoanal pull-through and to validate new, easy-to-administer HRQL measures. METHODS: The Sickness Impact Profile (SIP), Short Form 36 (SF-36), Rating Form of Inflammatory Bowel Disease (IBD) Patient Concerns (RFIPC), and the time trade-off (TTO) were used to measure HRQL of pull-through patients. The SF-36 and the RFIPC were validated. RESULTS: HRQL of patients with ileoanal pull-through was better than that of a national sample of patients with IBD (SIP and RFIPC) and similar to that of a normal population (SF-36). Physical and psychosocial subscales of the SF-36 correlated with the SIP, affirming the construct validity of the SF-36. The RFIPC results correlated with the SIP and SF-36 results, suggesting that it is also a valid health status measure for these patients. TTO results correlated with the physical subscales of the SIP and SF-36, reflecting the impact of physical health on this group. CONCLUSIONS: HRQL of patients with ileoanal pull-through is excellent. The SF-36 and RFIPC are valid health status measures that can be used by clinicians and researchers in these patients.

Adult↗

Health status indicators among community-dwelling elders with arthritis: the Bambuí health and aging study.

OBJECTIVE: To investigate the association of arthritis with health status indicators among elders living in Bambuí, Brazil. METHODS: A cross-sectional study was conducted among 1606 elders using baseline data from the Bambuí Health and Aging Study, a population based cohort study of older adults. Arthritis was self-reported and defined as a physician diagnosis of arthritis or rheumatism, and/or chronic hand and knee symptoms. Health status indicators, defined a priori as the main independent variables, were self-rated health, psychological distress (based on the General Health Questionnaire), report of sleep complaints, disability in activities of daily living (ADL), "2-week" disability, mobility disability, and 2 composite indexes of mental health problems and physical disability problems. Logistic regression compared health status indicators among elders reporting arthritis (N = 833) and non-arthritis subjects. RESULTS: After controlling for sociodemographics and chronic conditions, all measures were found to be associated with arthritis: sleep complaints (OR 1.81, 95% CI 1.43-1.92), fair (OR 2.17, 95% CI 1.62-2.90) and poor self-rated health (OR 3.48, 95% CI 2.46-4.94), ADL disability (OR 1.73, 95% CI 1.02-2.87), mobility disability (OR 2.65, 95% CI 2.06-3.41), 2-week disability (OR 1.86, 95% CI 1.35-2.57), 2 mental health problems (OR 2.25, 95% CI 1.67-3.04), and one (OR 2.46, 95% CI 1.91-3.16) and 2 physical disability problems (OR 4.19, 95% CI 2.02-8.59). CONCLUSION: Considering the paucity of similar studies addressing the impact of arthritis in developing nations, these findings may be applied to similar communities and support better planning of resource allocations to minimize the effects of arthritis among the elderly.

Aged↗

Associations between maternal and child health status and patterns of medical care use.

OBJECTIVE: To determine associations in health status and health care utilization between mothers and their children. METHODS: Cross-sectional analysis of the 1996-97 Community Tracking Study Household Survey. Separate logistic regression models describing each type of service use were conducted and adjusted for child age, health status, mother age, race, education, and respondent type. Models incorporated maternal health care use, employment, poverty, child's insurance status, and family type as independent variables. RESULTS: Sample included 9803 mother-child pairs, for a weighted sample of 35 651 048 pairs. Compared to mothers reporting excellent health, mothers reporting very good to good health status and fair or poor health were more likely to have children in good, fair, or poor health (odds ratio 2.00, 95% confidence interval 1.63-2.45; and odds ratio 4.16, 3.36-5.15, respectively). For each of 5 types of service use, mothers' and children's use were strongly associated: 1+ physician visits (2.42, 2.07-2.84); 6+ physician visits (2.07, 1.80-2.37); emergency department use (2.01, 1.75-2.31); hospitalizations (1.56, 1.10-2.22); and mental health visits (7.07, 5.67-8.82). CONCLUSIONS: Associations in health service use were noted across a broad array of services for women and their children. These associations may reflect similar tendencies to seek care and suggest the need to consider patterns of maternal use in trying to understand and improve patterns of health care utilization for children.

Adolescent↗

The effect of patient health status on physician practice style.

BACKGROUND: The recent development of health status measures now facilitates the study of how patient health influences physician practice style. METHODS: The health status of 150 new patients at a university primary care center was assessed using the Medical Outcomes Study Short-Form General Health Survey. Videotapes of the physician-patient encounter were analyzed with the Davis Observation Code to explore the effect of patient health status on physician practice style. RESULTS: Regression analyses demonstrated that better health was predictive of a greater portion of the visit being spent on physical examination and chatting and a smaller portion of the visit on history taking. Counseling was predicted by diminished patient mental health scores. Preliminary evidence was found for different practice styles based on patient characteristics such as sex, age, education, and income. CONCLUSIONS: Results suggest that the physician-patient encounter is strongly influenced by health status. It will be crucial for future studies of physician-patient interaction to include an assessment of the patient's health status.

Adult↗

Health status versus quality of life in older patients: does the distinction matter?

PURPOSE: Although health-related quality of life in older people is generally assessed by measuring specific domains of health status, such as activities of daily living or pain, the association between health-status measures and patients' perceptions of their quality of life is not clear. Indeed, it is controversial whether these health-status measures should be considered measures of quality of life at all. Our objective was to determine the association between health-status measures and older patients' perceptions of their global quality of life. SUBJECTS AND METHODS: We performed a cross-sectional study of 493 cognitively intact patients 80 years of age and older, interviewed 2 months after a hospitalization. We measured patients' self-assessed global quality of life and four domains of health status: physical capacity, limitations in performing activities of daily living, psychological distress, and pain. RESULTS: Each of the four scales was significantly correlated with patients' global perceptions of their quality of life (P <0.001). The ability of the health-status scales to discriminate between patients with differing global quality of life was generally good, especially for the physical capacity (c statistic = 0.72) and psychological distress scales (c statistic = 0.70). However, for a substantial minority of patients, scores on the health-status scales did not accurately reflect their global quality of life. For example, global quality of life was described as fair or poor by 15% of patients with the highest (best tertile) physical capacity scores, 25% of patients who were independent in all activities of daily living, 21% of patients with the least psychological distress (best tertile), and by 30% with no pain symptoms. Similarly, global quality of life was described as good or better by 43% of patients with the worst physical capacity (worst tertile), 49% of patients who were dependent in at least two activities of daily living, 47% of patients with the most psychological distress (worst tertile), and 51% of patients with severe pain. CONCLUSION: On average, health status is a reasonable indicator of global quality of life for groups of older patients with recent illness. However, disagreement between patients' reported health status and their perceptions of their global quality of life was common. Therefore, assumptions about the overall quality of life of individual patients should not be based on measures of their health status alone.

Activities of Daily Living↗

Users of Internet health information: differences by health status.

BACKGROUND: Millions of consumers have accessed health information online. However, little is known about their health status. OBJECTIVE: To explore use of Internet health information among those who were sicker (fair/poor general health status) compared with those reported being healthier. METHODS: A national, random-digit telephone survey by the Pew Internet & American Life Project identified 521 Internet users who go online for health care information. Our primary independent variable was general health status rated as excellent, good, fair, or poor. Patterns of Internet use, and types of information searched were assessed. RESULTS: Among the 521 users, 64% were female, most (87%) were white, and median age was 42 years. Most individuals indicated that they learned something new online (81%) and indicated that they believe most information on the Internet (52%). Compared with those with excellent/good health, those with fair/poor health (N = 59) were relative newcomers to the Internet but tended to use the Internet more frequently, were more likely to use online chats, were less likely to search for someone other than themselves, and were more likely to talk about the new information with their physician (odds ratio 3.3 [95% confidence interval 1.8-6.3]), after adjustment for age, education and income. CONCLUSIONS: Health care professionals should be aware that their sicker patients are more likely to ask them about information they found online. Physicians, public health professionals, and eHealth developers should work together to educate patients about searching for health information online and to provide tools for them to navigate to the highest quality information.

Adult↗

Black and white female nursing home residents: does health status differ?

BACKGROUND: There will be greater numbers of Black female nursing home residents in the future, but past emphasis has been on the study of Black older adults in the community. The purpose of this study was to assess the health status stability of newly admitted female nursing home residents and to analyze Black-White differences in health status and health status stability. METHODS: Health status (mental status, activities of daily living [ADLs], self-reported mood, self-reported health) of Black (n = 98) and White (n = 260) female nursing home residents was evaluated during their first two weeks of residence. Time, race, and their interaction effects on health status were analyzed using repeated measures multivariate analysis of variance. RESULTS: All health status data showed stability or improvement, but there were significant race differences in both health status and health status stability. Black female residents had worse mental status and worse ADLs, and reported less alert mood, less tired mood, and better health. Race differences in stability were evident for hygiene, dressing, ambulation, and transferring ADLs: Black female residents were less likely to show improvements over time. CONCLUSION: Black female residents are an at-risk population for special care needs in nursing homes.

Activities of Daily Living↗