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The Covid-19 pandemic had a tremendous impact on healthcare but uncertainty remains about the extent to which primary care provision was affected. Therefore, this paper aims to assess the impact on primary care provision and the evolution of the incidence of disease during the first year of the Covid-19 pandemic in Flanders (Belgium). Care provision was defined as the number of new entries added to a patient's medical history. Pre-pandemic care provision (February 1, 2018-January 31, 2020) was compared with care provision during the pandemic (February 1, 2020-January 31, 2021). A large morbidity registry (Intego) was used. Regression models compared the effect of demographic characteristics on care provision and on acute and chronic diagnoses incidence both prior and during the pandemic. During the first year of the Covid-19 pandemic, overall care provision increased with 9.1% (95%CI 8.5%;9.6%). There was an increase in acute diagnoses of 5.1% (95%CI 4.2%;6.0%) and a decrease in the selected chronic diagnoses of 12.8% (95% CI 7.0%;18.4%). Obesity was an exception with an overall incidence increase. The pandemic led to strong fluctuations in care provision that were not the same for all types of care and all demographic groups in Flanders. Relative to other groups in the population, the pandemic caused a reduction in care provision for children aged 0-17 year and patients from a lower socio-economic situation. This paper strengthened the claim that Covid-19 should be considered as a syndemic instead of a pandemic. During the first Covid-19 year, overall care provision and the incidence of acute diagnoses increased, whereas chronic diseases' incidence decreased, except for obesity diagnoses which increased. More granular, care provision and chronic diseases' incidence decreased during the lockdowns, especially for people with a lower socio-economic status. After the lockdowns they both returned to baseline.

Background: Multi-morbidity and polypharmacy of the elderly population enhances the probability of elderly in residential long-term care facilities experiencing inappropriate medication use. Objectives: The aim is to systematically review literature to assess the prevalence of inappropriate medication use in residential long-term care facilities for the elderly. Methods: Databases (MEDLINE, EMBASE) were searched for literature from 2004 to 2016 to identify studies examining inappropriate medication use in residential long-term care facilities for the elderly. Studies were eligible when relying on Beers criteria, STOPP, START, PRISCUS list, ACOVE, BEDNURS or MAI instruments. Inappropriate medication use was defined by the criteria of these seven instruments. Results: Twenty-one studies met inclusion criteria. Seventeen studies relied on a version of Beers criteria with prevalence ranging between 18.5% and 82.6% (median 46.5%) residents experiencing inappropriate medication use. A smaller range, from 21.3% to 63.0% (median 35.1%), was reported when considering solely the 10 studies that used Beers criteria updated in 2003. Prevalence varied from 23.7% to 79.8% (median 61.1%) in seven studies relying on STOPP. START and ACOVE were relied on in respectively four (prevalence: 30.5-74.0%) and two studies (prevalence: 28.9-58.0%); PRISCUS, BEDNURS and MAI were all used in one study each. Conclusions: Beers criteria of 2003 and STOPP were most frequently used to determine inappropriate medication use in residential long-term care facilities. Prevalence of inappropriate medication use strongly varied, despite similarities in research design and assessment with identical instrument(s).

Background Health literacy (HL) is defined as necessary competencies to make well-informed decisions. As patients’ decision making is a key element of patient-centered health care, insight in patients’ HL might help healthcare professionals to organize their care accordingly. This is particularly true for people in a vulnerable situation, potentially with limited HL, who are, for instance, at greater risk of having limited access to care [ 1 , 2 ]. As HL correlates with education, instruments should allow inclusion of low literate people. To that end, the relatively new instrument, HLS-EU-Q47, was subjected to a comprehensibility test, its shorter version, HLS-EU-Q16, was not. Therefore, the goal of this study was to examine feasibility of HLS-EU-Q16 (in Dutch) for use in a population of people with low literacy. Methods Purposive sampling of adults with low (yearly) income (< €16,965.47) and limited education (maximum high school), with Dutch language proficiency. Exclusion criteria were: psychiatric, neurodegenerative diseases or impairments. To determine suitability (length, comprehension and layout) participants were randomly distributed either HLS-EU-Q16 or a modified version and were interviewed directly afterwards by one researcher. To determine feasibility a qualitative approach was chosen: cognitive interviews were carried out using the verbal probing technique. Results Thirteen participants completed HLS-EU-Q16 ( n  = 7) or the modified version ( n  = 6). Questions about ‘disease prevention’ or ‘appraisal’ of information are frequently reported to be incomprehensible. Difficulties are attributed to vocabulary, sentence structure and the decision process (abstraction, distinguishing ‘appraising’ from ‘applying’ information, indecisive on the appropriate response). Conclusions HLS-EU-Q16 is a suitable instrument to determine HL in people with limited literacy. However, to facilitate the use and interpretation, some questions would benefit from minor adjustments: by simplifying wording or providing explanatory, contextual information.

Background Computerised clinical decision support (CDS) can potentially better inform decisions, and it can help with the management of information overload. It is perceived to be a key component of a learning health care system. Despite its increasing implementation worldwide, it remains uncertain why the effect of CDS varies and which factors make CDS more effective. Objective To examine which factors make CDS strategies more effective on a number of outcomes, including adherence to recommended practice, patient outcome measures, economic measures, provider or patient satisfaction, and medical decision quality. Methods We identified randomised controlled trials, non-randomised trials, and controlled before-and-after studies that directly compared CDS implementation with a given factor to CDS without that factor by searching CENTRAL, MEDLINE, EMBASE, and CINAHL and checking reference lists of relevant studies. We considered CDS with any objective for any condition in any healthcare setting. We included CDS interventions that were either displayed on screen or provided on paper and that were directed at healthcare professionals or targeted at both professionals and patients. The reviewers screened the potentially relevant studies in duplicate. They extracted data and assessed risk of bias in independent pairs or individually followed by a double check by another reviewer. We summarised results using medians and interquartile ranges and rated our certainty in the evidence using the GRADE system. Results We identified 66 head-to-head trials that we synthesised across 14 comparisons of CDS intervention factors. Providing CDS automatically versus on demand led to large improvements in adherence. Displaying CDS on-screen versus on paper led to moderate improvements and making CDS more versus less patient-specific improved adherence modestly. When CDS interventions were combined with professional-oriented strategies, combined with patient-oriented strategies, or combined with staff-oriented strategies, then adherence improved slightly. Providing CDS to patients slightly increased adherence versus CDS aimed at the healthcare provider only. Making CDS advice more explicit and requiring users to respond to the advice made little or no difference. The CDS intervention factors made little or no difference to patient outcomes. The results for economic outcomes and satisfaction outcomes were sparse. Conclusion Multiple factors may affect the success of CDS interventions. CDS may be more effective when the advice is provided automatically and displayed on-screen and when the suggestions are more patient-specific. CDS interventions combined with other strategies probably also improves adherence. Providing CDS directly to patients may also positively affect adherence. The certainty of the evidence was low to moderate for all factors. Trial registration PROSPERO, CRD42016033738

Background The use of shared decision‐making (SDM) in mental healthcare has been viewed as at least as important as its use in non‐mental healthcare settings, but it still does not routinely take place in this setting. To further explore SDM processes with people with lived experience, we provide a qualitative meta‐summary on patient‐reported barriers and facilitators to participation in SDM within the context of mental healthcare. Methods Within the set of selected studies for a larger qualitative meta‐summary, using five databases, we selected the studies that had surveyed patients with mental illness for further analysis in this paper. Search terms were based on the concepts: ‘decision making’, ‘patient participation’, ‘patient perceptions’ and ‘study design’ of patient reporting, including patient surveys, interviews and focus groups. Results Out of the 90 studies that had been selected for the larger review, we selected 13 articles concerning mental illness for more detailed analysis in this review. In total, we identified 29 different influencing factors and we found 6 major barriers: ‘Lack of choice’, ‘Not being respected as a person’, ‘Feeling stigma from physician’, ‘Disease burden’, ‘Power imbalance’ and ‘Low self‐efficacy to participate’. ‘Clear information provision about options’, ‘Being respected as a person, being taken into account’, ‘Good physician‐patient relationship’ and ‘Belief in the importance of one's own role’ were the main facilitators. Conclusions Stigma and self‐stigma still seem to persist in mental healthcare and continue to suppress patients' self‐efficacy to participate in SDM in this setting. There is much discussion of inclusion and diversity worldwide, and these themes are just as topical for patients with mental health problems. Further work seems necessary to eradicate all stigma and self‐stigma in this setting when striving for care that could be ‘as shared as possible’. Patient and Public Contribution The authors wish to thank Mr. Walter Geuens, a person with lived experience in mental healthcare, for his careful reading and thorough feedback on the final paper.

Background Shared decision making (SDM) has been presented as the preferred approach for decisions where there is more than one acceptable option and has been identified a priority feature of high-quality patient-centered care. Considering the foundation of trust between general practitioners (GPs) and patients and the variety of diseases in primary care, the primary care context can be viewed as roots of SDM. GPs are requesting training programs to improve their SDM skills leading to a more patient-centered care approach. Because of the high number of training programs available, it is important to overview these training interventions specifically for primary care and to explore how these training programs are evaluated. Methods This review was reported in accordance with the PRISMA guideline. Eight different databases were used in December 2022 and updated in September 2023. Risk of bias was assessed using ICROMS. Training effectiveness was analyzed using the Kirkpatrick evaluation model and categorized according to training format (online, live or blended learning). Results We identified 29 different SDM training programs for GPs. SDM training has a moderate impact on patient (SMD 0.53 95% CI 0.15–0.90) and observer reported SDM skills (SMD 0.59 95%CI 0.21–0.97). For blended training programs, we found a high impact for quality of life (SMD 1.20 95% CI -0.38-2.78) and patient reported SDM skills (SMD 2.89 95%CI -0.55-6.32). Conclusion SDM training improves patient and observer reported SDM skills in GPs. Blended learning as learning format for SDM appears to show better effects on learning outcomes than online or live learning formats. This suggests that teaching facilities designing SDM training may want to prioritize blended learning formats. More homogeneity in SDM measurement scales and evaluation approaches and direct comparisons of different types of educational formats are needed to develop the most appropriate and effective SDM training format. Trial registration PROSPERO: A systematic review of shared-decision making training programs in a primary care setting. PROSPERO 2023 CRD42023393385 Available from: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42023393385 .

Background. The use of telemedicine in dermatology is becoming more popular in Belgium and other countries as a result of increasing waiting lists. The objective of this study was to analyze if tele‐dermatology is a valuable alternative for in‐person consultations with the dermatologist and to get insight into the content of the remote consultations, the use, the barriers, and the satisfaction with this system. Methods. This study was a 1‐year prospective pilot study in Belgium. The study implemented and evaluated a store‐and‐forward tele‐dermatology system in the routine practice of Belgian family physicians and dermatologists. Results. A total of 320 family physicians and 43 dermatologists participated in the study. Analysis of remote consultations revealed a median response time of 24 h; 21% of patients needed an additional in‐person consultation after the remote consultation. The majority of dermatologists (67.9%), family physicians (86.6%), and patients (81.4%) were generally satisfied with the service. A majority of the dermatologists agreed that there was sufficient clinical information in the electronic form (60.7%) and that the quality of the pictures was sufficient to allow correct decision making (57.1%). The family physicians had significantly higher percentages respectively, 84.5% and 71.8%. Dermatologists reported technical (73.9%) and organizational (43.5%) problems, whereas these percentages were statistically lower, respectively, 35.2% and 28.2% for the family physicians. Conclusions. The store‐and‐forward tele‐dermatology system had the potential to allow a smooth transfer of high‐quality dermatologic advice. Although there were differences between the dermatologists, the family physicians and the patients, general satisfaction with the system was high. There is a need for an extramural order management system in which the dermatologist could answer from his own electronic medical records.

Background Inappropriate laboratory test ordering poses an important burden for healthcare. Clinical decision support systems (CDSS) have been cited as promising tools to improve laboratory test ordering behavior. The objectives of this study were to evaluate the effects of an intervention that integrated a clinical decision support service into a computerized physician order entry (CPOE) on the appropriateness and volume of laboratory test ordering, and on diagnostic error in primary care. Methods This study was a pragmatic, cluster randomized, open-label, controlled clinical trial. Setting Two hundred eighty general practitioners (GPs) from 72 primary care practices in Belgium. Patients Patients aged ≥ 18 years with a laboratory test order for at least one of 17 indications: cardiovascular disease management, hypertension, check-up, chronic kidney disease (CKD), thyroid disease, type 2 diabetes mellitus, fatigue, anemia, liver disease, gout, suspicion of acute coronary syndrome (ACS), suspicion of lung embolism, rheumatoid arthritis, sexually transmitted infections (STI), acute diarrhea, chronic diarrhea, and follow-up of medication. Interventions The CDSS was integrated into a computerized physician order entry (CPOE) in the form of evidence-based order sets that suggested appropriate tests based on the indication provided by the general physician. Measurements The primary outcome of the ELMO study was the proportion of appropriate tests over the total number of ordered tests and inappropriately not-requested tests. Secondary outcomes of the ELMO study included diagnostic error, test volume, and cascade activities. Results CDSS increased the proportion of appropriate tests by 0.21 (95% CI 0.16–0.26, p < 0.0001) for all tests included in the study. GPs in the CDSS arm ordered 7 (7.15 (95% CI 3.37–10.93, p = 0.0002)) tests fewer per panel. CDSS did not increase diagnostic error. The absolute difference in proportions was a decrease of 0.66% (95% CI 1.4% decrease–0.05% increase) in possible diagnostic error. Conclusions A CDSS in the form of order sets, integrated within the CPOE improved appropriateness and decreased volume of laboratory test ordering without increasing diagnostic error. Trial registration ClinicalTrials.gov Identifier: NCT02950142 , registered on October 25, 2016

Background The EBMeDS system is the computerized clinical decision support (CCDS) system of EBPNet, a national computerized point-of-care information service in Belgium. There is no clear evidence of more complex CCDS systems to manage chronic diseases in primary care practices (PCPs). The objective of this study was to assess the effectiveness of EBMeDS use in improving diabetes care. Methods A cluster-randomized trial with before-and-after measurements was performed in Belgian PCPs over 1 year, from May 2017 to May 2018. We randomly assigned 51 practices to either the intervention group (IG), to receive the EBMeDS system, or to the control group (CG), to receive usual care. Primary and secondary outcomes were the 1-year pre- to post-implementation change in HbA1c, LDL cholesterol, and systolic and diastolic blood pressure. Composite patient and process scores were calculated. A process evaluation was added to the analysis. Results were analyzed at 6 and 12 months. Linear mixed models and logistic regression models based on generalized estimating equations were used where appropriate. Results Of the 51 PCPs that were enrolled and randomly assigned (26 PCPs in the CG and 25 in the IG), 29 practices (3815 patients) were analyzed in the study: 2464 patients in the CG and 1351 patients in the IG. No change differences existed between groups in primary or secondary outcomes. Change difference between CG and IG after 1-year follow-up was − 0.09 (95% CI − 0.18; 0.01, p -value = 0.06) for HbA1c; 1.76 (95% CI − 0.46; 3.98, p -value = 0.12) for LDL cholesterol; and 0.13 (95% CI − 0.91; 1.16, p -value = 0.81) and 0.12 (95% CI − 1.25;1.49, p -value = 0.86) for systolic and diastolic blood pressure respectively. The odds ratio of the IG versus the CG for the probability of no worsening and improvement was 1.09 (95% CI 0.73; 1.63, p -value = 0.67) for the process composite score and 0.74 (95% CI 0.49; 1.12, p -value = 0.16) for the composite patient score. All but one physician was satisfied with the EBMeDS system. Conclusions The CCDS system EBMeDS did not improve diabetes care in Belgian primary care. The lack of improvement was mainly caused by imperfections in the organizational context of Belgian primary care for chronic disease management and shortcomings in the system requirements for the correct use of the EBMeDS system (e.g., complete structured records). These shortcomings probably caused low-use rates of the system. Trial registration ClinicalTrials.gov, NCT01830569 , Registered 12 April 2013.

People with diabetes have a high risk of developing micro- and macrovascular complications associated with diminished life expectancy and elevated treatment costs. Patient education programs can improve diabetes control in the short term, but their cost-effectiveness is uncertain. Our study aimed to analyze the lifelong cost-effectiveness of a nurse-led telecoaching program compared to usual care in people with type 2 diabetes from the perspective of the Belgian healthcare system. The UKPDS Outcomes Model was populated with patient-level data from an 18-month randomized clinical trial in the Belgian primary care sector involving 574 participants; trial data were extrapolated to 40 years; Quality Adjusted Life Years (QALYs), treatment costs and Incremental Cost-Effectiveness Ratio (ICER) were calculated for the entire cohort and the subgroup with poor glycemic control at baseline (\"elevated HbA1c subgroup\") and the associated uncertainty was explored. The cumulative mean QALY (95% CI) gain was 0.21 (0.13; 0.28) overall and 0.56 (0.43; 0.68) in elevated HbA1c subgroup; the respective incremental costs were €1,147 (188; 2,107) and €2,565 (654; 4,474) and the respective ICERs €5,569 (€677; €15,679) and €4,615 (1,207; 9,969) per QALY. In the scenario analysis, repeating the intervention for lifetime had the greatest impact on the cost-effectiveness and resulted in the mean ICERs of €13,034 in the entire cohort and €7,858 in the elevated HbA1c subgroup. Taking into account reimbursement thresholds applied in West-European countries, nurse-led telecoaching of people with type 2 diabetes may be considered highly cost-effective within the Belgian healthcare system. NCT01612520.