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 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. 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. 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.

Background: Regular inspection of the oral cavity is required for prevention, early diagnosis and risk reduction of oral- and general health-related problems. Assessments to inspect the oral cavity have been designed for non-dental healthcare professionals, like nurses. The purpose of this systematic review was to evaluate the content and the measurement properties of oral health assessments for use by non-dental healthcare professionals in assessing older peoples’ oral health, in order to provide recommendations for practice, policy, and research. Methods: A systematic search in PubMed, EMBASE.com, and Cinahl (via Ebsco) has been performed. Search terms referring to ‘oral health assessments^’, ‘non-dental healthcare professionals’ and ‘older people (60+)’ were used. Two reviewers individually performed title/abstract, and full-text screening for eligibility. The included studies have investigated at least one measurement property (validity/reliability) and were evaluated on their methodological quality using “The Consensus-based Standards for the selection of health Measurement Instruments” (COSMIN) checklist. The measurement properties were then scored using quality criteria (positive/negative/indeterminate). Results: Out of 879 hits, 18 studies were included in this review. Five studies showed good methodological quality on at least one measurement property and 14 studies showed poor methodological quality on some of their measurement properties. None of the studies assessed all measurement properties of the COSMIN. In total eight oral health assessments were found: the Revised Oral Assessment Guide (ROAG); the Minimum Data Set (MDS), with oral health component; the Oral Health Assessment Tool (OHAT); The Holistic Reliable Oral Assessment Tool (THROAT); Dental Hygiene Registration (DHR); Mucosal Plaque Score (MPS); The Brief Oral Health Screening Examination (BOHSE) and the Oral Assessment Sheet (OAS). Most frequently assessed items were: lips, mucosa membrane, tongue, gums, teeth, denture, saliva, and oral hygiene. Conclusion: Taken into account the scarce evidence of the proposed assessments, the OHAT and ROAG are most complete in their included oral health items and are of best methodological quality in combination with positive quality criteria on their measurement properties. Non-dental healthcare professionals, policymakers and researchers should be aware of the methodological limitations of the available oral health assessments and realize that the quality of the measurement properties remains uncertain.

Shoulder pain is common in primary care, and has an unfavourable outcome in many patients. Information about predictors of shoulder pain related sick leave in workers is scarce and inconsistent. The objective was to develop a clinical prediction rule for calculating the risk of shoulder pain related sick leave for individual workers, during the 6 months following first consultation in general practice. A prospective cohort study with 6 months follow-up was conducted among 350 workers with a new episode of shoulder pain. Potential predictors included the results of a physical examination, sociodemographic variables, disease characteristics (duration of symptoms, sick leave in the 2 months prior to consultation, pain intensity, disability, comorbidity), physical activity, physical work load, psychological factors, and the psychosocial work environment. The main outcome measure was sick leave during 6 months following first consultation in general practice. Response rate to the follow-up questionnaire at 6 months was 85%. During the 6 months after first consultation 30% (89/298) of the workers reported sick leave. 16% (47) reported 10 days sick leave or more. Sick leave during this period was predicted in a multivariable model by a longer duration of sick leave prior to consultation, more shoulder pain, a perceived cause of strain or overuse during regular activities, and co-existing psychological complaints. The discriminative ability of the prediction model was satisfactory with an area under the curve of 0.70 (95% CI 0.64-0.76). Although 30% of all workers with shoulder pain reported sick leave during follow-up, the duration of sick leave was limited to a few days in most workers. We developed a prediction rule and a score chart that can be used by general practitioners and occupational health care providers to calculate the absolute risk of sick leave in individual workers with shoulder pain, which may help to identify workers who need additional attention. The performance and applicability of our model needs to be tested in other working populations with shoulder pain to enable valid and reliable use of the score chart in everyday practice.

To assess the predictive performance of caries risk assessment (CRA) models for prediction of caries increment for individuals based on a systematic review and meta-analyses. We included external validation studies assessing the predictive performance of CRA models for prediction of caries increment for individuals, using discrimination and calibration as the outcome parameters. PubMed, EMBASE, and CINAHL were searched electronically on 10th September 2020 to identify prediction modeling studies on external validation of CRA models. The risk of bias of the included studies was assessed using the Prediction model Risk Of Bias ASsessment Tool (PROBAST). A total of 22 studies with seven different CRA models were included. As for full Cariogram, the pooled area under the receiver operating characteristic curve (AUC) was 0.78 (95 %CI: 0.68; 0.85) based on eight studies regardless of the risk of bias levels, and 0.82 (95 %CI: 0.58; 0.93) based on four studies with low risk of bias only. The pooled observed: expected ratio (O:E ratio) of full Cariogram was 0.91 (95 %CI: 0.72; 1.14) based on 12 studies regardless of the risk of bias levels, and 0.89 (95 %CI: 0.71; 1.12) based on five studies with low risk of bias only. As for reduced Cariogram, the pooled AUC was 0.72 (95 %CI: 0.67; 0.77) based on six studies regardless of the risk of bias levels, and 0.74 (95 %CI: 0.45; 0.91) based on two studies with low risk of bias only. The pooled O:E ratio of reduced Cariogram was 0.84 (95 %CI: 0.59; 1.18) based on six studies regardless of the risk of bias levels, and 1.05 (95 %CI: 0.43; 2.59) based on two studies with low risk of bias only. Based on an insufficient number of studies for the other CRA models, the pooled AUCs ranged from 0.50 to 0.88, while the pooled O:E ratio ranged from 0.38 to 1.00. The average predictive performance of both full and reduced Cariogram seems to be acceptable. However, the evidence from research does not allow a firm conclusion on the performance of the other included CRA models, due to the insufficient number of high-quality studies. Both full and reduced Cariogram were found to be reliable CRA models for prediction of caries increment in clinical practices for dental patients and communities for general populations. The reduced Cariogram showed better predictive performance and less burden in terms of time and resources to individuals than the full Cariogram. Therefore, the reduced Cariogram could be more recommended than the full Cariogram.

To assess the degree of awareness, agreement, adoption and adherence of physicians in Indonesia to type 2 diabetes mellitus guidelines, and their association with characteristics of the responders.