Perspectives of general dental practitioners on preventive, patient-centred, and evidence-based oral healthcare—A Q-methodology study

Objective In the last 30 years, innovations in oral healthcare (OHC), such as advanced restorative techniques, shifts towards preventive and evidence-based care and changes in patients’ expectations, have increased the complexity of clinical decision-making in OHC. Little is known about the perspectives of general dental practitioners (GDPs) on the value of providing preventive, patient-centred and evidence-based OHC. This study aimed to explore the range of perspectives present amongst GDPs on OHC. Method Q-methodology was used to explore perspectives among 78 GDPs working in the Netherlands. Participants were asked to sort 50 statements representing three central domains in OHC: i.) restorative versus preventative OHC, ii.) disease-centred versus patient-centred OHC and iii.) expertise-based versus evidence-based OHC. Opinion statements about delivering OHC were formulated on the basis of published literature and input from OHC professionals. By-person factor analysis was used to reveal clusters of communality in statement rankings, which were interpreted and formed perspectives on OHC. Results Four perspectives, explaining 47% of variance, on OHC were identified amongst GDPs: ‘the patient-focused dentist who values prevention’, ‘the outcome-oriented dentist who values learning from colleagues’, ‘the team player with ultimate care responsibility’ and ‘the dentist who considers oral health the responsibility of the patient.’ Conclusion Q-methodology can be effectively used to describe the different perspectives that GDPs have on the challenges of preventive, patient-centred and evidence-based OHC. GDPs should not be seen as a homogenous group; rather they have different views and approaches to the care they provide. This has implications for health systems; awareness of the heterogeneity of practitioners’ perspectives can potentially be used to develop bespoke quality of care improvement strategies that constructively engage with each of these different groups

Costs of shoulder pain in primary care consulters: a prospective cohort study in The Netherlands

BACKGROUND: Shoulder pain is common in primary care, and has an unfavourable outcome in many patients. Information on the costs associated with health care use and loss of productivity in patients with shoulder pain is very scarce. The objective of this study was to determine shoulder pain related costs during the 6 months after first consultation in general practice METHODS: A prospective cohort study consisting of 587 patients with a new episode of shoulder pain was conducted with a follow-up period of 6 months. Data on costs were collected by means of a cost diary during 6 months. RESULTS: 84% of the patients completed all cost diaries. The mean consumption of direct health care and non-health related care was low. During 6 months after first consultation for shoulder pain, the mean total costs a patient generated were €689. Almost 50% of this total concerned indirect costs, caused by sick leave from paid work. A small proportion (12%) of the population generated 74% of the total costs. CONCLUSION: The total costs in the 6 months after first consultation for shoulder pain in primary care, mostly generated by a small part of the population, are not alarmingly high

Inter-observer reproducibility of measurements of range of motion in patients with shoulder pain using a digital inclinometer

BACKGROUND: Reproducible measurements of the range of motion are an important prerequisite for the interpretation of study results. The digital inclinometer is considered to be a useful instrument because it is inexpensive and easy to use. No previous study assessed inter-observer reproducibility of range of motion measurements with a digital inclinometer by physical therapists in a large sample of patients. METHODS: Two physical therapists independently measured the passive range of motion of the glenohumeral abduction and the external rotation in 155 patients with shoulder pain. Agreement was quantified by calculation of the mean differences between the observers and the standard deviation (SD) of this difference and the limits of agreement, defined as the mean difference ± 1.96*SD of this difference. Reliability was quantified by means of the intraclass correlation coefficient (ICC). RESULTS: The limits of agreement were 0.8 ± 19.6 for glenohumeral abduction and -4.6 ± 18.8 for external rotation (affected side) and quite similar for the contralateral side and the differences between sides. The percentage agreement within 10° for these measurements were 72% and 70% respectively. The ICC ranged from 0.28 to 0.90 (0.83 and 0.90 for the affected side). CONCLUSIONS: The inter-observer agreement was found to be poor. If individual patients are assessed by two different observers, differences in range of motion of less than 20–25 degrees can not be distuinguished from measurement error. In contrast, acceptable reliability was found for the inclinometric measurements of the affected side and the differences between the sides, indicating that the inclimeter can be used in studies in which groups are compared

Dealing with Missing Data and Uncertainty in the Context of Data Mining

Missing data is an issue in many real-world datasets yet robust methods for dealing with missing data appropriately still need development. In this paper we conduct an investigation of how some methods for handling missing data perform when the uncertainty increases. Using benchmark datasets from the UCI Machine Learning repository we generate datasets for our experimentation with increasing amounts of data Missing Completely At Random (MCAR) both at the attribute level and at the record level. We then apply four classification algorithms: C4.5, Random Forest, Naïve Bayes and Support Vector Machines (SVMs). We measure the performance of each classifiers on the basis of complete case analysis, simple imputation and then we study the performance of the algorithms that can handle missing data. We find that complete case analysis has a detrimental effect because it renders many datasets infeasible when missing data increases, particularly for high dimensional data. We find that increasing missing data does have a negative effect on the performance of all the algorithms tested but the different algorithms tested either using preprocessing in the form of simple imputation or handling the missing data do not show a significant difference in performance

Brief pain re-assessment provided more accurate prognosis than baseline information for low-back or shoulder pain

Background Research investigating prognosis in musculoskeletal pain conditions has only been moderately successful in predicting which patients are unlikely to recover. Clinical decision making could potentially be improved by combining information taken at baseline and re-consultation. Methods Data from four prospective clinical cohorts of adults presenting to UK and Dutch primary care with low-back or shoulder pain was analysed, assessing long-term disability at 6 or 12 months and including baseline and 4–6 week assessments of pain. Baseline versus short-term assessments of pain, and previously validated multivariable prediction models versus repeat assessment, were compared to assess predictive performance of long-term disability outcome. A hypothetical clinical scenario was explored which made efficient use of both baseline and repeated assessment to identify patients likely to have a poor prognosis and decide on further treatment. Results Short-term repeat assessment of pain was better than short-term change or baseline score at predicting long-term disability improvement across all cohorts. Short-term repeat assessment of pain was only slightly more predictive of long-term recovery (c-statistics 0.78, 95% CI 0.74 to 0.83 and 0.75, 95% CI 0.69 to 0.82) than a multivariable baseline prognostic model in the two cohorts presenting such a model (c-statistics 0.71, 95% CI 0.67 to 0.76 and 0.72, 95% CI 0.66 to 0.78). Combining optimal prediction at baseline using a multivariable prognostic model with short-term repeat assessment of pain in those with uncertain prognosis in a hypothetical clinical scenario resulted in reduction in the number of patients with an uncertain probability of recovery, thereby reducing the instances where patients may be inappropriately referred or reassured. Conclusions Incorporating short-term repeat assessment of pain into prognostic models could potentially optimise the clinical usefulness of prognostic information

Baseline Predictors of Sputum Culture Conversion in Pulmonary Tuberculosis: Importance of Cavities, Smoking, Time to Detection and W-Beijing Genotype

Background: Time to detection (TTD) on automated liquid mycobacterial cultures is an emerging biomarker of tuberculosis outcomes. The M. tuberculosis W-Beijing genotype is spreading globally, indicating a selective advantage. There is a paucity of data on the association between baseline TTD and W-Beijing genotype and tuberculosis outcomes. Aim: To assess baseline predictors of failure of sputum culture conversion, within the first 2 months of antitubercular therapy, in participants with pulmonary tuberculosis. Design: Between May 2005 and August 2008 we conducted a prospective cohort study of time to sputum culture conversion in ambulatory participants with first episodes of smear and culture positive pulmonary tuberculosis attending two primary care clinics in Cape Town, South Africa. Rifampicin resistance (diagnosed on phenotypic susceptibility testing) was an exclusion criterion. Sputum was collected weekly for 8 weeks for mycobacterial culture on liquid media (BACTEC MGIT 960). Due to missing data, multiple imputation was performed. Time to sputum culture conversion was analysed using a Cox-proportional hazards model. Bayesian model averaging determined the posterior effect probability for each variable. Results: 113 participants were enrolled (30.1% female, 10.5% HIV-infected, 44.2% W-Beijing genotype, and 89% cavities). On Kaplan Meier analysis 50.4% of participants underwent sputum culture conversion by 8 weeks. The following baseline factors were associated with slower sputum culture conversion: TTD (adjusted hazard ratio (aHR) = 1.11, 95% CI 1.02; 1.2), lung cavities (aHR = 0.13, 95% CI 0.02; 0.95), ever smoking (aHR = 0.32, 95% CI 0.1; 1.02) and the W-Beijing genotype (aHR = 0.51, 95% CI 0.25; 1.07). On Bayesian model averaging, posterior probability effects were strong for TTD, lung cavitation and smoking and moderate for W-Beijing genotype. Conclusion: We found that baseline TTD, smoking, cavities and W-Beijing genotype were associated with delayed 2 month sputum culture. Larger studies are needed to confirm the relationship between the W-Beijing genotype and sputum culture conversion.Publisher's versio