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Factors affecting physician provision of preventive care to Medicaid children.

Medicaid data for California, Georgia, Michigan, and Tennessee were used to analyze changes in fee and non-fee policies on physicians' service provision to children, before and after the enactment of the Omnibus Budget Reconciliation Act of 1989 (OBRA-1989). Only Michigan raised Medicaid preventive fees relative to the private sector. Higher relative fees increased child caseloads of participating physicians and the likelihood of providing preventive care. However, fee policy is less effective in urban poor areas due to residential segregation. Michigan's and Georgia's non-fee policy changes appeared effective in increasing EPSDT participation relative to the other States.

California↗

[Possibilities and limitations of statistical regression models for the calculation of threshold values for minimum provider volumes].

Inadequate statistical procedures are often applied for the derivation of threshold values in various medical research areas. The frequently applied method to establish threshold values on the basis of simple comparisons between arbitrarily defined low-volume and high-volume groups may be misleading because the result depends on the preceding classification. In this paper, the possibilities and limitations of statistical regression models for the calculation of threshold values are described. The features of these models for the selection of minimum volumes for hospitals or physicians are discussed. Simulated data examples are used to demonstrate that the definition of a useful minimum provider volume should not be based upon a calculated value of purely mathematical meaning without clinically assessing the risk curve. In the application of statistical regression models to retrospective observational data it should be noticed that calculated threshold values are only of a hypothesis-generating character. In order to verify that a minimum provider volume leads to the expected quality improvement, a prospective intervention study is required.

Data Interpretation, Statistical↗

Impact of referral source and study applicants' preference for randomly assigned service on research enrollment, service engagement, and evaluative outcomes.

OBJECTIVE: The inability to blind research participants to their experimental conditions is the Achilles' heel of mental health services research. When one experimental condition receives more disappointed participants, or more satisfied participants, research findings can be biased in spite of random assignment. The authors explored the potential for research participants' preference for one experimental program over another to compromise the generalizability and validity of randomized controlled service evaluations as well as cross-study comparisons. METHOD: Three Cox regression analyses measured the impact of applicants' service assignment preference on research project enrollment, engagement in assigned services, and a service-related outcome, competitive employment. RESULTS: A stated service preference, referral by an agency with a low level of continuity in outpatient care, and willingness to switch from current services were significant positive predictors of research enrollment. Match to service assignment preference was a significant positive predictor of service engagement, and mismatch to assignment preference was a significant negative predictor of both service engagement and employment outcome. CONCLUSIONS: Referral source type and service assignment preference should be routinely measured and statistically controlled for in all studies of mental health service effectiveness to provide a sound empirical base for evidence-based practice.

Adult↗

Health care service decision influences: an exploratory investigation of search and nonsearch criteria for professionals and patients.

Despite numerous studies examining buying behavior, research on types of evaluative criteria for vendor selection involving consumers and health care professionals (functioning as market "intermediaries") has been lacking. Building on previous conceptualizations reported in marketing and health care literature, the author examines the relative influence of search and nonsearch evaluative criteria in the decision making of both patients and hospital-based health care providers. Decisions involving post-acute service vendors are analyzed to determine the relative impact of each attribute set in the selection of respiratory therapy services by patients and health care professionals. Data are presented that point to significant differences in decision-making styles between patients and health professionals, as well as among health care providers in different organizational, institutional, and professional roles. Key marketing implications are discussed.

Continuity of Patient Care↗

Survey of UK hospice and specialist palliative care adult bereavement services.

METHOD: Postal survey of UK hospices and specialist palliative care services providing adult bereavement support. ANALYSIS: Descriptive statistics and content analysis of free text replies. RESULTS: Three hundred services were identified, with 248 valid responses (83%). Of these, 198 (80%) were in England and 180 (73%) were associated with inpatient units. Most had been in existence for at least 10 years. Paid staff were used by 219 services (88%) and volunteers were involved in 168 services (68%). A small minority did not provide supervision for their bereavement staff. A quarter of services had insufficient staff. The most common activities were individual support, telephone support, written information, memorialization events and group support. Ninety-five services (43%) formally assessed the need for individual support. One hundred and fourteen services (51%) had no formal mechanisms for bereaved people to provide feedback about such support. Formal audit and evaluation of bereavement services was uncommon. CONCLUSIONS: The main elements of bereavement support can be identified but their combination varies. Assessment of people for individual support varies and the small size of many services may inhibit the effective delivery of support. Audit and evaluation of bereavement support may need to be developed.

Adult↗

What determines the size of occupational health services in UK universities?

BACKGROUND: There is wide, largely unexplained, variation in occupational health (OH) provision between UK employers. AIM: To explain the variation in OH provision across the UK university sector. METHODS: Analyses of data from a survey of university OH services and from the Higher Education Statistics Agency. The outcome variable was clinical (doctor + nurse) staffing of the university's OH service. The explanatory variables examined were university size, income, research activity score and presence or absence of academic disciplines categorized by an expert panel as requiring a high level of OH provision. RESULTS: All 117 UK universities were included and 93 (79%) responded; with exclusions and incomplete data, between 80 and 89 were included in analyses. There was wide variation in clinical OH staffing (range 0-8.4 full-time equivalents). Number of university staff explained 34% of the variation in OH staffing. After adjusting for other factors, neither the research activity nor the presence of high-needs disciplines appeared to be factors currently used by employers to determine their investment in OH. CONCLUSIONS: Government or other guidelines for university employers should take organizational size into account. Employers may need guidance on how to provide OH services proportionate to specific occupational hazards or other OH needs.

Health Personnel↗

Predictors of GP service use: a community survey of an elderly Australian sample.

As part of a study of an elderly community-dwelling Australian population, predictors of general practitioner (GP) service use were identified. The sample of 897 persons, aged 70 years or older and living in Canberra and Queanbeyan, were interviewed about their health and well-being. Data on the number of GP visits in the following 12-month period were obtained from the Health Insurance Commission. There were important gender differences in the prediction of both contact and volume of service use. Need variables (physical health in men, and disability and anxiety in women) were the most important predictors. Men who were older or who had lower occupational status used more medical services, as did women with less education or higher levels of extraversion. Men with lower social support were less likely to contact a GP, but social support was not related to volume of service use for either men or women. Since at most 21% of the variance in the volume of GP service use could be explained, despite the wide range of predictors considered and the different statistical approaches adopted, better measures of service use and predictors need to be developed.

Activities of Daily Living↗

Variation in clinical preventive services.

CONTEXT: Preventive services are not delivered at optimal rates in primary care settings, and the literature suggests that a systems approach is key to improvement. Studying variation among clinics could help us to understand the extent of system use in practice. PRACTICE PATTERN EXAMINED: The proportion of patients who are up-to-date for preventive services in 44 primary care practices in the Midwest. PREVENTIVE SERVICES EXAMINED: Papanicolaou (Pap) smear, cholesterol testing, mammography, clinical breast examination, blood pressure measurement, influenza and pneumococcal vaccinations, and advice on tobacco use. DATA SOURCE: 6830 patients surveyed after their clinic visit (response rate, 85%). RESULTS: The proportion of patients up-to-date for preventive services varied widely among clinics. For example, up-to-date rates for Pap smear testing ranged from 70% to 93% and 45% to 88% for cholesterol screening. There was little correlation between a clinic's performance on one preventive service (relative to the other 43 clinics) and its performance on others. When correlations between pairs of up-to-date rates within clinics were examined, only 4 of 28 service pairs were positive and statistically significant and only 1 had a correlation coefficient that exceeded 0.5 (for mammography and clinical breast examination). CONCLUSION: There is wide variation in the rates at which various preventive services are performed, both between and within clinics. This variation, which is probably due to a lack of organized prevention systems that cover multiple services, provides a clear target for improvement efforts.

Blood Pressure Determination↗

Research on the frontlines of healthcare: a cooperative learning approach.

BACKGROUND: Evidence-based practice is a common goal in hospitals, but learning about research so that the practice can be done is often challenging for clinicians. OBJECTIVES: The aims of this study were to (a) develop a process that supports organizational and staff development while conducting research and (b) conduct a research study in the emergency department (ED) to examine patient population, satisfaction, and waiting room issues. METHODS: A multidisciplinary team of clinicians and scientists was assembled to learn and do research while evaluating the ED waiting room of a Level I trauma center. A cooperative learning method approach was used to teach research concepts as the study was designed and implemented. RESULTS: The team demonstrated their knowledge and understanding of research concepts by being involved actively in the creation and implementation of the preintervention study. Using information from photographs, observations, and a questionnaire, the team identified the following key dissatisfaction areas: (a) atmosphere (including comfort with environment, neatness and cleanliness, and noise), (b) telephones, (c) parking and thoroughfare, (d) professional behavior and staff presence (including personal attention), (e) security, and (f) triage and confidentiality. DISCUSSION: The model of working in partnership with researchers and using cooperative, collaborative research is an effective way to evaluate and address issues related to quality of care while learning about the research concepts needed to put evidence into practice.

Cross-Sectional Studies↗

[Theme: High utilizers of health care services. How do we help the patients who constantly top visitors' statistics?].

UNLABELLED: A series of articles reviews the problem of patients with high utilization of health care. Many of these patients display somatization behaviour, presenting with physical symptoms unaccounted for by any demonstrable medical condition. High utilizers often get insufficient help from doctors and other health care providers, who are not trained to understand and manage the underlying psychosocial problems. The same problem occurs in different settings of health care, such as: Primary care: Seven out of ten high utilizers of primary care have no physical disease; they attend primarily for somatic symptoms, although there is a predominance of psycho-social problems. Emergency room care: High utilizers of emergency room care are characterized by insufficient social support, often in combination with substance abuse. Physical symptoms are often perceived as life-threatening, even though there is no known underlying disease. Non-psychiatric hospital care: There is a six fold increase in high utilization of non-psychiatric hospital care among patients with a somatoform diagnosis. MEDICATION: Patients treated with anti-depressants--implying depressive disorder--have a two or three fold increased utilization of non-psychopharmacological drugs, of primary care and of non-psychiatric hospital care as compared to those with no treatment for depression.

Emergency Medical Services↗