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Background: During the cluster randomised TRIAGE-trial, a nurse advised 13% of low-risk patients presenting at an emergency department in Belgium to visit the adjacent general practitioner cooperative. Patients had the right to refuse this advice. This exploratory study examines the characteristics of refusers by uncovering the determinants of non-compliance and its impact on costs, as charged on the patient's invoice.Methods: Bivariate analyses with logistic regressions and T-tests were used to test the differences in patient characteristics, patient status, timing characteristics, and costs between refusers and non-refusers. A chi-square automatic interaction detection analysis was used to find the predictors of non-compliance.Results: 23.50% of the patients refused the advice to visit the general practitioner cooperative. This proportion was mainly influenced by the nurse on duty (non-compliance rates per nurse ranging from 2.9% to 52.8%) and the patients' socio-economic status (receiving increased reimbursement versus not OR 1.37, 95%CI: 0.96 to 1.95). Additionally, non-compliance was associated (at the 0.10 significance level) with being male, not living nearby and certain reasons for encounter. Fewer patients refused when the nurse perceived crowding level as quiet relative to normal, and more patients refused during the evening. The mean cost was significantly higher for patients who refused, which was a result of more extensive examination and higher out-of-pocket expenses at the ED.Conclusions: The nurse providing the advice to visit the general practitioner cooperative has a central role in the likelihood of patients' refusal. Interventions to reduce non-compliance should aim at improving nurse-patient communication. Special attention may be required when managing patients with a lower socio-economic status. The overall mean cost was higher for refusers, illustrating the importance of compliance.Trial Registration: The trial was registered on registration number NCT03793972 on 04/01/2019. [ABSTRACT FROM AUTHOR]

Background: This study aimed to achieve expert consensus regarding key items to be addressed by non-clinical operators using computer-software integrated medical dispatch protocols to manage out-of-hours telephone triage (OOH-TT) services for calls involving older adults seeking non-urgent unplanned care across Belgium., Methods: A three-part classic e-Delphi study was conducted. A purposive sample of experts specialized in out-of-hours unplanned care and/or older persons across Belgium were recruited as panelists. Eligibility criteria included experts with at least 2 years of relevant experience. Level of consensus was defined to be reached when at least 70% of the panelists agreed or disagreed regarding the value of each item proposed within a survey for the top 10 most frequently used protocols for triaging older adults. Responses were analyzed over several rounds until expert consensus was found. Descriptive and thematic analyses were used to aggregate responses., Results: N = 12 panelists agreed that several important missing protocol topics were not covered by the existing OOH-TT service. They also agreed about the nature of use (for the top 10 most frequently used protocols) but justified that some modifications should be made to keywords, interrogation questions, degree of urgency and/or flowcharts used for the algorithms to help operators gain better comprehensive understanding patient profiles, medical habits and history, level of support from informal caregivers, known comorbidities and frailty status. Furthermore, panelists also stressed the importance of considering feasibility in implementing protocols within the real-world setting and prioritizing the right type of training for operators which can facilitate the delivery of high-quality triage. Overall, consensus was found for nine of the top 10 most frequently used protocols for triaging older adults with no consensus found for the protocol on triaging patients unwell for no apparent reason., Conclusion: Our findings show that overall, a combination of patient related factors must be addressed to provide high quality triage for adults seeking non-urgent unplanned care over the telephone (in addition to age). However, further elements such as appropriate operator training and feasibility of implementing more population-specific protocols must also be considered. This study presents a useful step towards identifying key items which must be targeted within the larger scope of providing non-urgent out-of-hours telephone triage services for older adults seeking non-urgent unplanned care., (© 2024. The Author(s).)

Background: This study seeks to examine if and how the COVID-19 pandemic has prompted changes in the use and uptake of a national out-of-hours (OOH) telephone triage service by younger and older patients seeking non-urgent unplanned care in Flanders (Belgium)., Methods: A descriptive study was conducted using registry data obtained from the 1733 OOH telephone triage service in a Flemish region of Belgium. All calls received between 1 January 2019 and 31 December 2020 were analyzed., Results: A significant association was found between patient age and period of call (χ 2  = 594.54, p < .001). Calls made to the 1733 OOH telephone triage service were significantly less likely to be dispatched to a higher level of urgency by operators compared to calls made before the COVID-19 period (OR = 0.80, 95% CI [0.74-0.85]). While calls concerning older adults were significantly more likely to be dispatched to a higher level of urgency by operators compared to younger adults (regardless of period of call) (65 to 74 yrs: OR = 5.75, 95% CI [4.86-6.80]; 75 to 84 yrs: OR = 15.21, 95% CI [13.18-17.56]; ≥ 85 yrs: OR = 28.77, 95% CI [25.01-33.09]), only 6.7% of all COVID-19 related calls involved older adults over 65 years of age., Conclusion: Findings showed that there was a general decline in the number of calls dispatched to a higher level of urgency by operators during the COVID-19 period but that there were differences in the use and uptake of these services by younger and older age segments.

Objectives: This study aims to compare trends in antibiotic prescribing behaviour for lower urinary tract infections among different out-of-hours primary care services., Methods: Cross-sectional study using routine prescription data extracted from electronic health records from six out-of-hours services. The study population included 5888 cases diagnosed with an uncomplicated lower urinary tract infection from 2016 to 2020. Prescriptions were assessed based on the national guidelines., Results: Considering the total study period, an antibiotic was prescribed in 98.9% of cases. Among these cases, 55.0% was prescribed a guideline recommended antibiotic, 21.0% was prescribed fosfomycin, 17.4% was prescribed a quinolone and 1.8% was prescribed more than one antibiotic. Guideline recommended prescribing improved substantially over time. However, there were significant differences among out-of-hours services in terms of proportion over the total study period (between 49.0% and 66.7%) as well as in terms of time-trend pattern., Conclusion: Substantial differences among out-of-hours services suggest a potential for further improvement in the quality of antibiotic prescribing. Monitoring prescribing behaviour per out-of-hours primary care service can guide focused interventions.

Purpose: To document and describe the use of a hospital-wide, 24-hour cardiorespiratory physiotherapy service run by an intensive care unit (ICU) team of physiotherapists. Methods: We prospectively collected data on all non-ICU hospital patients who used the 24-hours-per-day cardiorespiratory physio- therapy service over a 1-year period between July 2013 and June 2014. The ICU physiotherapists documented the reason, origin of referral, time of call, and type and frequency of treatment of each patient. Results: Over the 1-year period, the ICU physiotherapists administered 2,192 out-of-hours cardiorespiratory physiotherapy treatments (n ¼ 685 patients) outside the ICU. Most referrals originated from the emergency department (25%), the cardiopulmonary transplant unit (20%), and the pulmonology department (16%). Referrals were from a physiotherapist in 49% of cases, from a nurse in 32%, and from a physician in 19%. Of these, 89% were made between 4:00 p.m. and 8:00 a.m., and sputum retention was the most frequent reason (86%). Conclusion: Although proving its cost effectiveness is difficult, organizing a 24-hours-per-day, 7-days-per-week cardiorespiratory physiotherapy service in a large hospital is feasible. [ABSTRACT FROM AUTHOR]

Background: In Belgium, General Practitioner Cooperatives (GPC) aim to improve working conditions for unplanned care and to reduce the number of low acuity emergency visits. Although this system is well organized, the number of low acuity visits does not decrease., Methods: We explored the view of patients and physicians on the co-location of a GPC and an emergency service for unplanned care. The study was carried out in a cross section design in primary and emergency care services and included patients and physicians. Main outcome measure was the view of patients and physician on co-location of a GPC and an emergency service., Results: 404 patients and 488 physicians participated. 334 (82.7%) of all patients favoured a co-location. The major advantages were fast service (104, 25.7) and adequate referral (54, 13.4%). 237 (74%) of the GPs and 38 (95%) of the emergency physicians were in favour of a co-location. The major advantage was a more adequate referral of patients. 254 (79%) of the GPs and 23 (83%) of the emergency physicians believed that a co-location would lower the workload and waiting time and increase care quality (resp. 251 (78%), 224 (70%) and 37 (93%), 34 (85%)., Conclusions: To close the expectation gap between GP's, emergency physicians and to reach for high care quality, information campaigns and development of workflows are indispensable for a successful implementation of a co-location of primary and emergency care.

Background: Belgium has a problem with inappropriate use of emergency services. The government installed the number 1733 for out-of-hours care. Through a dry run test, we learned that 30% of all calls were allocated to the protocol 'unclear problem'. In only 11.9% of all cases, there was an unclear problem., Methods: The study aimed to determine whether the adjusted protocol 'unwell for no clear reason' led to a safer and more efficient referral and to evaluate the efficiency and safety of the primary care protocols (PCPs). The study ran in cross-sectional design involving patients, General Practitioner Cooperatives and telephone operators. A random sample of calls to 1733 and patient referrals were assessed on efficiency and safety., Results: During 6 months in 2018, 11 622 calls to 1733 were registered. Seven hundred fifty-six of them were allocated to 'unwell for no clear reason', and a random sample of 180 calls was audited. To evaluate the PCPs, 202 calls were audited. The efficiency and safety of the protocol 'unwell for no clear reason' improved, and safety levels for under- and over-triage were not exceeded. The GP's judged that 9/10 of all patient encounters were correctly referred., Conclusion: This study demonstrated that the 1733-telephone triage system for out-of-hours care is successful if protocols, flow charts and emergency levels are well defined, monitored and operators are trained.

Background: Patients in Belgium needing out-of-hours care have two options: the emergency department or the general practitioner on call often organised in a general practitioner cooperative. Currently, there is no triage system in Belgium so patients do not know where to go., Methods: Our primary objective was to examine the ability of a newly developed telephone guideline, called 1733, to adequately estimate the urgency of health problems presented by simulated patients. Ten clinical vignettes were presented to 12 operators in a simulated phone call. The operators had to assign a protocol, urgency level and resource to dispatch (ambulance, general practitioner house visit, etc.) to each case., Results: A total of 120 phone calls were analysed. The operators chose the right protocol in 69% and the correct urgency level in 35% of the cases. The proportion of under- and over-triage was 26% and 39%, respectively. There was important variation in between the operators. The sensitivity for detecting highly urgent cases was 0.42, the specificity 0.92., Conclusion: Using the new Belgian 1733 guideline for telephone triage, operators mostly chose the appropriate protocol but only chose the correct urgency in one out of three cases. In this phase of development, the studied telephone guideline is not ready for implementation.

Rationale: Antibiotics (ABs) are one of the most prescribed medications in out-of-hours (OOH) care in Belgium. Developing a better understanding of why ABs are prescribed in this setting is essential to improve prescribing habits., Objectives: To assess AB prescribing and dispensing challenges for general practitioners (GPs) and pharmacists in OOH primary care, and to identify context-specific elements that can help the implementation of behaviour change interventions to improve AB prescribing in this setting., Design: This is an exploratory qualitative study using semistructured interviews. This study is part of a participatory action research project., Setting and Participants: Participants include 17 GPs and 1 manager, who work in a Belgian OOH general practitioners cooperative (GPC), and 5 pharmacists of the area covered by the GPC. The GPC serves a population of more than 187 000 people., Results: GPs feel the threshold to prescribe AB in OOH care is lower in comparion to office hours. GPs and pharmacists talk about the difference in their professional identity in OOH (they define their task differently, they feel more isolated, insecure, have the need to please and so on), type of patients (unknown patients, vulnerable patients, other ethnicities, demanding patients and so on), workload (they feel time-pressured) and lack of diagnostic tools or follow-up. They are aware of the problem of AB overprescribing, but they do not feel ownership of the problem., Conclusion: The implementation of behaviour change interventions to improve AB prescribing in OOH primary care has to take these context specifics into account and could involve interprofessional collaboration between GPs and pharmacists., Trial Registration Number: NCT03082521; Pre-results., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2018. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Background: Annual influenza epidemics significantly burden health care. Anticipating them allows for timely preparation. The Scientific Institute of Public Health in Belgium (WIV-ISP) monitors the incidence of influenza and influenza-like illnesses (ILIs) and reports on a weekly basis. General practitioners working in out-of-hour cooperatives (OOH GPCs) register diagnoses of ILIs in an instantly accessible electronic health record (EHR) system. This article has two objectives: to explore the possibility of modelling seasonal influenza epidemics using EHR ILI data from the OOH GPC Deurne-Borgerhout, Belgium, and to attempt to develop a model accurately predicting new epidemics to complement the national influenza surveillance by WIV-ISP., Method: Validity of the OOH GPC data was assessed by comparing OOH GPC ILI data with WIV-ISP ILI data for the period 2003-2012 and using Pearson's correlation. The best fitting prediction model based on OOH GPC data was developed on 2003-2012 data and validated on 2012-2015 data. A comparison of this model with other well-established surveillance methods was performed. A 1-week and one-season ahead prediction was formulated., Results: In the OOH GPC, 72,792 contacts were recorded from 2003 to 2012 and 31,844 from 2012 to 2015. The mean ILI diagnosis/week was 4.77 (IQR 3.00) and 3.44 (IQR 3.00) for the two periods respectively. Correlation between OOHs and WIV-ISP ILI incidence is high ranging from 0.83 up to 0.97. Adding a secular trend (5 year cycle) and using a first-order autoregressive modelling for the epidemic component together with the use of Poisson likelihood produced the best prediction results. The selected model had the best 1-week ahead prediction performance compared to existing surveillance methods. The prediction of the starting week was less accurate (±3 weeks) than the predicted duration of the next season., Conclusion: OOH GPC data can be used to predict influenza epidemics both accurately and fast 1-week and one-season ahead. It can also be used to complement the national influenza surveillance to anticipate optimal preparation.

Background: In some European countries telephone triage (TT) during out-of-hours primary care showed to be safe and effective. Other countries, such as Belgium, may not have trained auxiliary personnel while their national health services want to establish TT., Objectives: To compare urgency levels assessed by secretaries and general practitioners in one general practice cooperative in Belgium., Methods: Percentage of correct-, under-, and over-triage were calculated in total and per reason for encounter. Inter-rater agreement was investigated., Results: The secretaries correctly triaged (same urgency level) 77% of the telephone calls, under-triaged 10% and over-triaged 13%.'Shortness of breath', 'skin cuts', 'chest pain', 'feeling unwell' and 'syncope' were often under-triaged., Conclusion: Before introducing TT, auxiliary staff should be trained and protocols should be used.