A review of the evidence for the impact of improving nutritional care on nutritional and clinical outcomes and cost.

BACKGROUND: The association between malnutrition and poor clinical outcome is well-established, yet most research has focussed on the role of artificial nutritional support in its management. More recently, emphasis has been placed on the provision of adequate nutritional care, including nutritional screening and the routine provision of food and drink. The aim of this literature review is to establish the evidence for the efficacy of interventions that might result in improvements in nutritional and clinical outcomes and costs. METHODS: A structured literature review was conducted investigating the role of nutritional care interventions in adults, and their effects on nutritional and clinical outcomes and costs, in all healthcare settings. Ten databases were searched electronically using keywords relating to nutritional care, patient outcomes and healthcare costs. High quality trials were included where available. RESULTS: Two hundred and ninety-seven papers were identified and reviewed. Of these, only two randomised, controlled trials and six other trials were identified that addressed the major issues. A further 99 addressed some aspects of the provision of nutritional care, although very few formally evaluated nutritional or clinical outcomes and costs. CONCLUSIONS: This review reveals a serious lack of evidence to support interventions designed to improve nutritional care, in particular with reference to their effects on nutritional and clinical outcomes and costs. The review suggests that screening alone may be insufficient to achieve beneficial effects and thus more research is required to determine the most cost-effective interventions in each part of the nutritional care pathway, in a variety of healthcare settings and across all age ranges, to impact upon nutritional and clinical outcomes.

Oral health of ambulatory care patients.

OBJECTIVES: This project assessed the clinical oral health status of Veterans Administration (VA) patients and examined the relationship between oral health and both sociodemographic factors and dental care utilization. METHODS: Data were collected on 538 users of VA ambulatory medical care. Oral health was assessed by clinical examinations, and dental use and sociodemographic information are based on self-report. RESULTS: Younger, more educated VA patients with higher incomes had more teeth, fewer untreated and treated root caries, and were less likely to be edentulous or to have dentures. Dental utilization emerged as the most important aspect of veterans' oral health status, even after sociodemographic factors were controlled. Compared with the general population, veterans have poorer oral health with the exception of coronal caries. CONCLUSION: Compared with national studies, VA patients appear to have worse oral health. The importance of sociodemographic factors and dental utilization that has been found in other studies applies to veterans' oral health as well.

Self-reported and clinical oral health in users of VA health care.

BACKGROUND: This article describes the oral health of users of Veterans Administration (VA) health care using both clinical and self-report measures, and models relationships between these measures and self-perceived oral health. METHODS: We conducted a cross-sectional study of 538 male users of VA outpatient care in the Boston area. Questionnaires assessed self-reported oral health, oral-specific health-related quality of life, health behaviors, and sociodemographic information. Clinical data were collected on oral mucosa status, number of teeth and root tips, dental caries, and periodontal treatment need. We report clinical and self-reported oral health status by age group (era of military service). We regressed models of self-perceived oral health on clinical indices and self-reported measures of the impact of oral health on daily life, adjusting for sociodemographic characteristics and health behavior. RESULTS: Among those participants aged 65 to 91 years old, 2.8%, 18.7%, and 41.5% rated their oral health as excellent, very good, or good, respectively. Among 50- to 64-year-old men, the corresponding values were 1.4%, 18.5%, and 40.4%, while among those aged 22 to 49 years old, the values were 2.3%, 17%, and 34.1%. Tooth loss was common among users of VA care; 34% of those aged 65-90 years, 28% of those aged 50-64 years, and 8% of those aged 25-49 years had no teeth. Periodontal treatment needs were uniformly high among persons with teeth; mild mucosal change was common, and 10% had root tips. Regression models showed self-perceived oral health was better in persons with more teeth and recent dental treatment, and worse with tooth mobility, coronal decay, and more medical problems. Measures of the impact of oral conditions on daily life added significantly to the amount of explained variance in self-perceived oral health. CONCLUSIONS: Clinical conditions and the impact of oral health on daily life are important determinants of self-perceived oral health.

Relations between health-related quality of life and well-being: the gerontologist's new clothes?

Is the recent construct of health-related quality of life (HQL) distinct from what gerontologists have long referred to as "well-being" or "life satisfaction?" We addressed this question using data from men in the VA Normative Aging Study to examine relations among twelve scales assessing HQL and seven scales of well-being (WB). We hypothesized that these two constructs would be distinct factorially, and that the derived factors would have different correlates. Correlations between scales of HQL and WB were moderate. When the nineteen scales were factored, four factors were extracted with HQL and WB scales generally loading on separate factors. The factors had distinct patterns of relations with general quality of life, personality, and the presence of a health problem, controlling for sociodemographics. These results suggest that HQL is distinct from the older construct of well-being. Although the two constructs are conceptually related, there is only a moderate amount of statistical overlap between them. Gerontologists should readily adopt health-related quality of life, which maintains continuity with such classics as well-being. This new construct, although needing slight alterations to broaden its assessment of well-being and life satisfaction, holds promise as more than an accessory in the study of health and well-being among older persons.

Preventive dental behaviors and their association with oral health status in older white men.

While prevention practices are widely encouraged, the link between the performance of preventive behaviors and oral health status has rarely been examined. This study investigates the association between preventive dental behaviors (recent and long-term) and oral health status and compares the strength of such associations. Longitudinal data over six time points on 649 dentate white men were obtained from the VA Dental Longitudinal Study (DLS). Participants' oral health was measured through dental examinations, and preventive dental behaviors--i.e., toothbrushing, flossing, using interdental devices, seeking dental prophylaxis, and undergoing dental treatment-were assessed by self-report. Oral health status was measured in terms of (1) functioning teeth, (2) sound-equivalent teeth, (3) decayed, missing, and filled teeth, and (4) decayed and filled root surfaces. Pearson correlation and linear regression analysis revealed significant positive associations between most preventive behaviors and measures of oral health status. Dental prophylaxis emerged as the strongest predictor of oral health status. Long-term preventive dental behavior measures explained more variance in oral health status than short-term preventive behaviors measured cross-sectionally.

The interaction of patient perception of overmedication with drug compliance and side effects.

OBJECTIVE: Little is known about the significance of patient-perceived overmedication. We sought to determine its prevalence and relation to medication compliance, adverse drug reactions, health-related quality of life (HRQOL), and burden of illness. DESIGN: Analysis of self-reported questionnaire data. PATIENTS/PARTICIPANT: There were 1,648 participants in a longitudinal study of male veterans. INTERVENTION: Participants listed each of their medications with indication, missed doses, adverse reactions, and whether their amount of medication was "too much, the right amount, or too little." The survey included questions about medication adherence, "problems with medications," common symptoms, and screening questions for a number of chronic conditions. We assessed HRQOL with the Multiple Outcomes Study 36-Item Short Form Health Study (SF-36). MEASUREMENTS AND MAIN RESULTS: Of the 1,256 respondents, 1,007 (80%) had taken medication within 4 weeks. Forty (4%) thought they were taking too much. They reported a 1.6-fold increase in prescription medications, a 5-8 fold increase in adverse effects, a 1.5-2 fold decrease in compliance, an increase in each of seven measured symptoms, and a decrease in six of eight SF-36 domains (p < .05 for all comparisons), the exceptions being the mental health and role-emotional scales. There was also a slight increase in the report of any chronic illness (95% vs 86%, p > .05). CONCLUSIONS: Patient perception of overmedication correlates with self-report of decreased compliance, adverse drug reactions, decreased HRQOL, and an increase in symptomatology that is compatible with unrecognized side effects of medication. Such patients warrant careful evaluation.

Health-related quality of life in patients served by the Department of Veterans Affairs: results from the Veterans Health Study.

BACKGROUND: The Department of Veterans Affairs Health Care System (VA) is the largest integrated single payer system in the United States. To date, there has been no systematic measurement of health status in the VA. The Veterans Health Study has developed methods to assess patient-based health status in ambulatory populations. OBJECTIVES: To describe the health status of veterans and examine the relationships between their health-related quality of life, age, comorbidity, and socioeconomic and service-connected disability status. METHODS: Participants in the Veterans Health Study, a 2-year longitudinal study, were recruited from a representative sample of patients receiving ambulatory care at 4 VA facilities in the New England region. The Veterans Health Study patients received questionnaires of health status, including the Medical Outcomes Study Short Form 36-Item Health Survey; and a health examination, clinical assessments, and medical history taking. Sixteen hundred sixty-seven patients for whom we conducted baseline assessments are described. RESULTS: The VA outpatients had poor health status scores across all measures of the Medical Outcomes Study Short Form 36-Item Health Survey compared with scores in non-VA populations (at least 50% of 1 SD worse). Striking differences also were found with the sample stratified by age group (20-49 years, 50-64 years, and 65-90 years). For 7 of the 8 scales (role limitations due to physical problems, bodily pain, general health perceptions, vitality, social functioning, role limitations due to emotional problems, and mental health), scores were considerably lower among the younger patients; for the eighth scale (physical function), scores of the young veterans (aged 20-49 years) were almost comparable with the levels in the old veterans (>65 years). The mental health scores of young veterans were substantially worse than all other age groups (P<.001) and scores of screening measures for depression were significantly higher in the youngest age group (51%) compared with the oldest age groups (33% and 16%) (P<.001). CONCLUSIONS: The VA outpatients have substantially worse health status than non-VA populations. Mental health differences between the young and old veterans who use the VA health care system are sharply contrasting; the young veterans are sicker, suggesting substantially higher resource needs. Mental health differences may explain much of the worse health-related quality of life in young veterans. As health care systems continue to undergo a radical transformation, the Department of Veterans Affairs should focus on the provision of mental health services for its younger veteran.

Psychiatric home care: a new tool for crisis intervention.

The cost of psychiatric care has been rapidly increasing in recent years. Between 1984 and 1987, there was a 46 percent increase in psychiatric hospitals beds and a 60 percent increase in psychiatric units in general hospitals. This reflected a recognition by many health care systems that psychiatric patients were a good source of revenue. With this push toward more and more inpatient programs, crucial aspects of psychiatric care were left behind. Specifically, the limitations of inpatient therapy have not been recognized. Within the past five years, a new program has been developed and pioneered to use home care to prevent psychiatric hospitalizations and to also prevent the difficult transitions for psychiatric patients. Over a two-year period, this program was studied for its impact on the quality and cost of psychiatric care.

A multifaceted approach to managed mental health care.

While many HMOs and insurance companies have contracted with outside managed mental health firms to control mental health utilization, ConnectiCare, an IPA Model HMO with nearly 100,000 members, manages its own mental health utilization with a multifaceted approach. How the system has evolved and preliminary results are presented to illustrate how an HMO can manage its own mental health care program while using local providers.

Utilization management in the small group insurance market.

Small businesses are the most rapidly growing segment of the economy, providing one half of all jobs in the United States. The health insurance industry must address issues which are unique to this market. The health insurance product for small businesses must have simple administration for the owners and easy access to quality medical care for the employees. Small businesses have been adversely affected by the high cost of health care. Numerous studies have shown that a major factor contributing to the high cost of health care is inappropriate and unnecessary utilization of health care. Until recently, techniques of utilization management have been difficult to adapt to the small group market. The Celtic Life Insurance Company has been using a managed care fee for service arrangement for the past three years. Celtic has been able to tailor a program for small businesses and maintain complete administrative coordination, instead of contracting with a private utilization review company. Our program maintains freedom of choice of providers and easy access to health care, without limiting access to specialists. Cost containment features have assisted insureds in selecting appropriate health care, in the appropriate setting while not interfering with the doctor-patient relationship.

Effects of passive smoking on health of children.

Analysis of data on the effects of passive smoking obtained in preadolescent children from the Harvard Six-Cities Study demonstrates an exposure-response relationship between the number of smokers in the household and the reporting rates for doctor-diagnosed respiratory illness before age 2, history of bronchitis, wheeze most days and nights apart from colds, and a composite of symptoms defined as the lower respiratory index. Similarly, when only the amount currently smoked by the mother was used, the data indicated a relatively uniform increase in each of the reported diseases and symptoms. FEV1 was lower in children with smoking mothers compared to children of nonsmoking mothers. Rate of increases in FEV1 after adjusting for normal growth was significantly smaller in children of smoking mothers and was related also to amount smoked. Notably the effect on level of FVC was not seen and this finding, consistent in several studies, remains unexplained. Although children of smoking mothers were shorter on the average than children of nonsmoking mothers, no on-going passive smoking effect on height growth can be ascertained. All these differences are small and their medical significance remains to be defined.