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PubMed1994

Bayesian analysis in the diagnostic process.

A diagnosis is made by a process in which the physician gathers evidence. The physician uses this evidence to put the patient in a class of patients with a disease. Bayes' theorem quantifies the effects of the evidence in increasing the probability that the patient has the disease. This article will discuss the potential of Bayesian analysis for medical diagnosis. Applications of Bayesian analysis to the diagnostic process could improve the efficiency of this process.

Appendicitis↗
PubMed2000

The relationship between the timing of maternal postpartum hospital discharge and breastfeeding.

This study examines the association between discharge timing and breastfeeding, controlling for demographic, economic, and health factors that influence both. Using the 1988 National Maternal and Infant Health database, maximum-likelihood modeling was used to generate 2-equation models to estimate both outcomes simultaneously. The joint estimation of breast-feeding and discharge timing demonstrates that mothers who spent 1 night in the hospital were more likely to breastfeed than mothers who spent 2 or 3 nights in the hospital (OR = 1.96, 95% C.I. 1.86-2.03). Furthermore, the model altered the association between breastfeeding and age, breastfeeding advice, and prenatal classes. In 1988, when decisions were a function of clinical judgments about readiness for discharge, early discharge was associated with an increased likelihood of breastfeeding. Instead of basing discharge solely on predetermined rules, derived largely from financial criteria, attention to the decision-making process should be an important part of newborn discharge policies.

Adolescent↗
PubMed1995

The development of measures of organizational citizenship behaviour and changes in job behaviours related to quality management in health care.

A study was conducted at two tertiary care hospitals in Canada for the purpose of developing instruments to measure organizational citizenship behaviours (OCB) and changes in job behaviours that occur as a result of participation on hospital quality improvement (CQI) teams. Semi structured interviews were conducted among 52 hospital employees in order to elicit critical incidents of OCB and changes in job behaviours related to CQI. The results of the staff interviews were used to develop a measure of OCB in the hospital setting, and a measure of changes in job behaviours related to CQI. 39 employees, who were drawn from the major departments within the two hospitals on the basis of their membership on CQI teams, participated in a test of the psychometric properties of the two research instruments. Exploratory factor analysis, employing an orthogonal rotation, yielded two factors that accounted for 30% of the variation among the OCB items. The Cronbach alpha for items loading highly on the first factor was .88. The factor was labelled 'OCB directed towards individuals within the organization'. This factor was dominated by items reflecting the kinds of extra-role job behaviours employees engage in to assist patients, family members, visitors, and other employees within the organization. The Cronbach alpha for items loading highly on the second factor was 0.71. The second factor was labelled 'organizationally directed OCB', and consisted of behaviours that reflected an impersonal form of OCB in the hospital setting. Factor analysis, employing an orthogonal rotation, yielded four factors that accounted for 48% of the variation among the items measuring changes in job behaviours related to CQI. The four factors were labelled 'problem-solving', Cronbach alpha 0.82; 'customer awareness', Cronbach alpha 0.79; 'use of CQI knowledge', Cronbach alpha 0.77; and 'organizational interests', Cronbach alpha 0.79. The two OCB factors were moderately correlated, there were no significant correlations among any of the factors measuring changes in job behaviours related to CQI, and the problem-solving job behaviours factor was moderately correlated with the two OCB factors. Directions for future research are discussed.

Cross-Sectional Studies↗
PubMed1995

Importance-performance analysis as a guide for hospitals in improving their provision of services.

As a result of the 1990 National Health Services Act, hospitals now compete with one another to win service contracts. A high level of service quality represents an important ingredient of a successful competitive strategy, yet, in general, hospitals have little external information on which to base quality decisions. Specifically, in their efforts to win contracts from fundholding general practitioners, hospitals require information on that which these purchasers deem important with respect to quality, and on how these purchasers assess the quality of their current service performance. The problem is complicated by the fact that hospital service quality, in itself, is multi-dimensional. In other areas of economic activity, the information problem has been resolved by importance-performance analysis and this paper reports the findings of such an analysis conducted for hosptials in the Trent region. The importance and performance service quality ratings of fundholders were obtained from a questionnaire survey and used in a particular variant of importance-performance analysis, which possesses certain advantages over more conventional approaches. In addition to providing empirical data on the determinants of service quality, as perceived by the purchasers of hospital services, this paper demonstrates how such information can be successfully employed in a quality enhancement strategy.

Contract Services↗
PubMed1999

Multiple imputation: a primer.

In recent years, multiple imputation has emerged as a convenient and flexible paradigm for analysing data with missing values. Essential features of multiple imputation are reviewed, with answers to frequently asked questions about using the method in practice.

Bayes Theorem↗
PubMed2003

Classifying the findings in qualitative studies.

A key task in conducting research integration studies is determining what features to account for in the research reports eligible for inclusion. In the course of a methodological project, the authors found a remarkable uniformity in the way findings were produced and presented, no matter what the stated or implied frame of reference or method. They describe a typology of findings, which they developed to bypass the discrepancy between method claims and the actual use of methods, and efforts to ascertain its utility and reliability. The authors propose that the findings in journal reports of qualitative studies in the health domain can be classified on a continuum of data transformation as no finding, topical survey, thematic survey, conceptual/thematic description, or interpretive explanation.

Data Interpretation, Statistical↗
PubMed1998

Hearing discordant voices: some notes on using Bayes's theorem in interpretive inquiry.

The focus of these brief comments is to argue that Bayes's theorem may have conceptual and pedagogical applications for qualitative analysis. We suggest that the theorem is a salient alternative voice for the development of sensitizing concepts. It is also proposed that the theorem is a useful heuristic for raising deep-structure issues such as the nature of qualitative evidence and how such evidence becomes confirming for a given claim.

Bayes Theorem↗
PubMedDate not supplied

Preoperative correlates of the cost of coronary artery bypass graft surgery: comparison of results from three hospitals.

This article furthers our understanding of the cost of coronary artery bypass graft (CABG) surgery by analyzing the extent to which preoperative correlates of cost differ among hospitals. A total of 2828 patient who underwent bypass surgery at 3 hospitals (2 teaching and 1 nonteaching) were analyzed. The preoperative correlates of direct variable cost (marginal cost) were determined by ordinary least squares regression. Age, urgent/emergent surgical priority, previous CABG, and chronic obstructive pulmonary disease (COPD) were significant contributors (P < .05) to cost in all hospitals, but overall, there were many differences. The major contributor to cost was non-white race (31.3%) at teaching hospital A, previous CABG (30.5%) at teaching hospital B, and preop insertion of intra-aortic balloon pump (IABP) (35.9%) at the nonteaching hospital. The number of significant risk factors also differed. Preoperative characteristics that contribute to cost can be quite different among hospitals and therefore results from one hospital cannot be broadly generalized to others.

Age Factors↗
PubMed2004

Meta-analytic methods for pooling rates when follow-up duration varies: a case study.

BACKGROUND: Meta-analysis can be used to pool rate measures across studies, but challenges arise when follow-up duration varies. Our objective was to compare different statistical approaches for pooling count data of varying follow-up times in terms of estimates of effect, precision, and clinical interpretability. METHODS: We examined data from a published Cochrane Review of asthma self-management education in children. We selected two rate measures with the largest number of contributing studies: school absences and emergency room (ER) visits. We estimated fixed- and random-effects standardized weighted mean differences (SMD), stratified incidence rate differences (IRD), and stratified incidence rate ratios (IRR). We also fit Poisson regression models, which allowed for further adjustment for clustering by study. RESULTS: For both outcomes, all methods gave qualitatively similar estimates of effect in favor of the intervention. For school absences, SMD showed modest results in favor of the intervention (SMD -0.14, 95% CI -0.23 to -0.04). IRD implied that the intervention reduced school absences by 1.8 days per year (IRD -0.15 days/child-month, 95% CI -0.19 to -0.11), while IRR suggested a 14% reduction in absences (IRR 0.86, 95% CI 0.83 to 0.90). For ER visits, SMD showed a modest benefit in favor of the intervention (SMD -0.27, 95% CI: -0.45 to -0.09). IRD implied that the intervention reduced ER visits by 1 visit every 2 years (IRD -0.04 visits/child-month, 95% CI: -0.05 to -0.03), while IRR suggested a 34% reduction in ER visits (IRR 0.66, 95% CI 0.59 to 0.74). In Poisson models, adjustment for clustering lowered the precision of the estimates relative to stratified IRR results. For ER visits but not school absences, failure to incorporate study indicators resulted in a different estimate of effect (unadjusted IRR 0.77, 95% CI 0.59 to 0.99). CONCLUSIONS: Choice of method among the ones presented had little effect on inference but affected the clinical interpretability of the findings. Incidence rate methods gave more clinically interpretable results than SMD. Poisson regression allowed for further adjustment for heterogeneity across studies. These data suggest that analysts who want to improve the clinical interpretability of their findings should consider incidence rate methods.

Absenteeism↗
PubMed2006

Evaluation of QUADAS, a tool for the quality assessment of diagnostic accuracy studies.

BACKGROUND: A quality assessment tool for diagnostic accuracy studies, named QUADAS, has recently been developed. Although QUADAS has been used in several systematic reviews, it has not been formally validated. The objective was to evaluate the validity and usefulness of QUADAS. METHODS: Three reviewers independently rated the quality of 30 studies using QUADAS. We assessed the proportion of agreements between each reviewer and the final consensus rating. This was done for all QUADAS items combined and for each individual item. Twenty reviewers who had used QUADAS in their reviews completed a short structured questionnaire on their experience of QUADAS. RESULTS: Over all items, the agreements between each reviewer and the final consensus rating were 91%, 90% and 85%. The results for individual QUADAS items varied between 50% and 100% with a median value of 90%. Items related to uninterpretable test results and withdrawals led to the most disagreements. The feedback on the content of the tool was generally positive with only small numbers of reviewers reporting problems with coverage, ease of use, clarity of instructions and validity. CONCLUSION: Major modifications to the content of QUADAS itself are not necessary. The evaluation highlighted particular difficulties in scoring the items on uninterpretable results and withdrawals. Revised guidelines for scoring these items are proposed. It is essential that reviewers tailor guidelines for scoring items to their review, and ensure that all reviewers are clear on how to score studies. Reviewers should consider whether all QUADAS items are relevant to their review, and whether additional quality items should be assessed as part of their review.

Consensus↗
PubMed2006

The Safety Attitudes Questionnaire: psychometric properties, benchmarking data, and emerging research.

BACKGROUND: There is widespread interest in measuring healthcare provider attitudes about issues relevant to patient safety (often called safety climate or safety culture). Here we report the psychometric properties, establish benchmarking data, and discuss emerging areas of research with the University of Texas Safety Attitudes Questionnaire. METHODS: Six cross-sectional surveys of health care providers (n = 10,843) in 203 clinical areas (including critical care units, operating rooms, inpatient settings, and ambulatory clinics) in three countries (USA, UK, New Zealand). Multilevel factor analyses yielded results at the clinical area level and the respondent nested within clinical area level. We report scale reliability, floor/ceiling effects, item factor loadings, inter-factor correlations, and percentage of respondents who agree with each item and scale. RESULTS: A six factor model of provider attitudes fit to the data at both the clinical area and respondent nested within clinical area levels. The factors were: Teamwork Climate, Safety Climate, Perceptions of Management, Job Satisfaction, Working Conditions, and Stress Recognition. Scale reliability was 0.9. Provider attitudes varied greatly both within and among organizations. Results are presented to allow benchmarking among organizations and emerging research is discussed. CONCLUSION: The Safety Attitudes Questionnaire demonstrated good psychometric properties. Healthcare organizations can use the survey to measure caregiver attitudes about six patient safety-related domains, to compare themselves with other organizations, to prompt interventions to improve safety attitudes and to measure the effectiveness of these interventions.

Ambulatory Care Facilities↗
PubMed2002

Bayesian methods for design and analysis of cost-effectiveness trials in the evaluation of health care technologies.

We review the development of Bayesian statistical methods for the design and analysis of randomized controlled trials in the assessment of the cost-effectiveness of health care technologies. We place particular emphasis on the benefits of the Bayesian approach; the implications of skew cost data; the need to model the data appropriately to generate efficient and robust inferences instead of relying on distribution-free methods; the importance of making full use of quantitative and structural prior information to produce realistic inferences; and issues in the determination of sample size. Several new examples are presented to illustrate the methods. We conclude with a discussion of the key areas for future research.

Arthritis↗
PubMed2002

Public versus private hospital maternity length of stay: a gamma mixture modelling approach.

Application of a gamma mixture model to obstetrical diagnosis-related groups (DRGs) revealed heterogeneity of maternity length of stay (LOS). The proportion of long-stay subgroups identified, which can account for 30% of admissions, varied between DRGs. The burden of long-stay patients borne was estimated to be much higher in private hospitals than public hospitals for normal delivery, but vice versa for Caesarean section. Such differences highlights the impact of DRG-based casemix funding on inpatient LOS and have significant implications for health insurance companies to integrate casemix funding across the public and private sectors. The analysis also benefits hospital administrators and managers to budget expenditures accordingly.

Diagnosis-Related Groups↗
PubMed2001

Can simulation be used to reduce errors in health care delivery? The hospital drug distribution system.

OBJECTIVES: To construct a simulation model of the hospital drug distribution system, to evaluate the effects of different changes to the system on unavailability-related medication administration errors (U-MAEs), to test the most promising system in a controlled trial and to explore the model's validity. METHODS: A discrete-event simulation model of the drug distribution system was constructed, using data collected on a vascular surgery ward and a renal medicine ward as model inputs. The model's output was the U-MAE rate. The model was used to explore the effects on U-MAEs of different changes to the system. One of the changes predicted to reduce U-MAEs, a patients' own drugs scheme, was introduced on each study ward; U-MAE rates were measured using observations before and after its introduction and compared with those predicted by the model. RESULTS: The model predicted that the introduction of a patients' own drugs system would reduce unavailability-related errors on each ward; in practice, there was a slight decrease on the medical ward but an increase on the surgical ward. Reasons for these findings were explored and four contributing factors identified. Three of these related to failure to follow hospital procedures, the fourth to an issue for which no policy existed. If these factors had been taken into account, the error rates predicted by the model would have been similar to those observed. CONCLUSIONS: Simulation modelling is a potentially useful approach to the study of U-MAEs, although care must be taken to ensure that such models reflect actual practice rather than stated policy.

Computer Simulation↗