A dashboard was developed with and for Irish general practitioners (GPs) to improve their understanding of practice data. The aim of this study was to design and develop interactive CARA dashboards to enable Irish GPs to visualise patient data and compare their data with other practices.
An interpretivist qualitative approach was taken to create a deeper understanding of how GPs view and engage with data. It included four stages: (a) problem formulation, (b) building, intervention and evaluation, (c) reflection and learning and (d) formalisation of learning. The process included interviews to explore what type of information GPs need, as well as iterative testing of the CARA dashboard prototype.
General practice.
GPs, design experts and domain experts (antibiotic prescribing and stewardship).
Key challenges identified from the interviews (context, sense-making, audits, relevance, action, engagement and ease of use) formed the basis for developing the CARA dashboard prototype. The first exemplar dashboard focused on antibiotic prescribing to develop and showcase the proposed platform, including automated audit reports, filters (within-practice) and between-practice comparisons, as well as a visual overview of practice demographics. The design thinking approach helped to capture and build an understanding of the GPs’ perspectives and identify unmet needs. This approach benefits the quality improvement methodology commonly adopted across healthcare, which aims to understand the process, not the users.
The development of a useful dashboard is based on two key elements: users’ requirements and their continued involvement in the development of content and overall design decisions. The next step will be an incremental inclusion of GPs using the dashboard and an exploratory study on dashboard engagement. Additional dashboards, such as for chronic disease, will be developed.
Injury is a major cause of death in Rwanda, with many deaths occurring before hospital admission. Timely transport of injured patients to appropriate hospitals is crucial, ideally within an hour for severely injured patients. However, delays in reaching treatment facilities are common, with ambulance services using inefficient mobile phone communication. This project aims to evaluate the effectiveness and implementation of an innovative electronic communication platform (912Rwanda).
The study will be conducted through the public ambulance service, Service d’Aide Médicale d’Urgence (SAMU), and receiving health facilities in Kigali city and Musanze district in Rwanda. The 912Rwanda intervention will be rolled out in the two locations at different times. The primary effectiveness outcome is the time from ambulance deployment to patient arrival at the health facility. Secondary effectiveness outcomes include disaggregated times of the primary outcome and clinical outcomes, such as length of stay and requirement for intensive care. These outcomes will be evaluated using an interrupted time series analysis, accounting for non-homogeneous variances, auto-regressive errors and non-linear trends where appropriate. Implementation outcomes will be evaluated using the Reach, Effectiveness, Adoption, Implementation, Maintenance (RE-AIM) Qualitative Evaluation for Systematic Translation (QuEST) framework. Cost-effectiveness will be evaluated using a cost-consequence analysis with consequences as determined by the interrupted time series analysis.
Ethical approval was obtained from the Rwanda National Research Ethics Committee (Ref No: 99/RNEC/2023). Dissemination will occur through open-access peer-reviewed publications, relevant national and international conferences.
This study aimed to estimate the prevalence of depression and anxiety and associated risk factors among non-communicable diseases (NCD) clinic attendees in rural Rwanda.
Cross-sectional.
44 health centres in three rural districts in Rwanda.
Adults aged 18 years and older with a clinical diagnosis of diabetes, hypertension and/or asthma, who were attending a follow-up appointment during the study period (n=595).
Primary outcome measures were depression (measured by Patient Health Questionnaire-9) and anxiety (measured by Generalised Anxiety Disorder-7). Explanatory measures included sociodemographic and behavioural risk factors associated with depression and anxiety.
Of 595 participants, 265 (44.5%) had depression (95% CI: 40.5% to 48.6%) and 202 (33.9%) had anxiety (95% CI: 30.1% to 37.9%). Comorbidity of depression and anxiety was found in 137 participants (23%). Participants with no formal education had significantly higher odds of reporting depression and anxiety compared with those with primary and secondary/higher education (adjusted OR (aOR)=2.08; 95% CI=1.27 to 3.33, p=0.004, aOR=5.00; 95% CI=1.12 to 25.00, p=0.035, respectively). In addition, participants who were unemployed were more likely to report depression and anxiety (aOR=3.03; 95% CI=1.62 to 5.67, p
The overall prevalence of depression and anxiety was found to be significantly high among the study participants. The risk factors that were associated with depression and anxiety included level of education, district of residence, employment status and past trauma exposure. The findings emphasise the need for integrating mental health screening into NCD care, district-specific interventions, employment support services and trauma-focused care.
Integrating evidence-based interventions in services by midwives and public health nurses (PHNs) has the potential to improve public health. Attitudes and individual readiness to change can influence the implementation of evidence-based interventions, but there is limited research in community nursing and maternity and child health care services (MCHCs).
To examine attitudes toward evidence-based practice and readiness to change in midwives and PHNs in MCHCs before implementing the “Mamma Mia” intervention (an evidence-based intervention to improve maternal mental health).
A survey-based, multisite cross-sectional study following the STrengthening the Reporting of OBservational studies in Epidemiology (STROBE) guideline. Data were collected from 190 midwives and PHNs from 42 MCHCs across 33 municipalities in Norway (2021–2022). Six subscales of the Evidence-Based Practice Attitude Scale (EBPAS) assessed attitudes toward evidence-based practice, and the Brief Individual Readiness for Change Scale (BIRCS) measured individual readiness. Descriptive and inferential statistics using frequency tables, Pearson correlation coefficient, and linear regression were used for data analysis. Open-ended responses were analyzed using content analysis.
Sixty-five midwives and 125 PHNs completed the baseline survey (mean age 46.8, all female). Mean EBPAS subscales scores were 2.99 to 3.58 (SD = 0.46–0.77) mean BIRCS score was 3.16 (SD = 0.49) (possible range 0–4). Scores were slightly higher than typically reported in clinical settings, with no significant differences based on demographics (all p-values ≥ 0.166). EBPAS subscores and the BIRCS score showed a moderate positive association. The most frequently reported positive factors influencing readiness were “enhanced care and positive gain” (42.6%), “organizational support” (26.3%), and “receiving training and implementation support” (23.2%). Negative factors included “time constraints and workload” (58.4%), and “research participation and implementation demands” (27.9%).
Midwives and PHNs showed positive attitudes toward EBP and a high degree of individual readiness. Our findings align with previous research highlighting barriers such as time constraints and workload, offering insights to inform strategies for more effective EBP adoption and implementation. These results can guide nurse managers, administrators, policymakers, professional associations, implementers, and intervention developers in enhancing EBP integration into practice.
Delays in getting injured patients to the hospital in a timely manner can increase avoidable death and disability. Like many low-income or middle-income countries, Rwanda experiences delays related to a lack of efficient prehospital communication and formal guidelines to triage patients for hospital care. This study describes the protocol to develop, roll-out and evaluate the effectiveness of a destination decision support algorithm (DDSA) integrated in an electronic communication platform, ‘912Rwanda’. The DDSA will facilitate the linkage of patients to health facilities able to treat their condition(s).
Work will be conducted in the prehospital emergency service ‘Service d'Aide Médicale Urgente’ and health facilities in Kigali city and Musanze district, which serve predominantly urban and rural populations, respectively. We will develop interfaces to capture facility and patient-relevant data, which feed into a guideline-based electronic DDSA to match patients to hospitals. We will assess existing trauma care processes using qualitative and quantitative methodologies. This will be followed by a series of consensus workshops to develop at-scene triage guidelines and agree on variables to capture in the interfaces. The DDSA will be developed based on outputs from these workshops and will be tested against historical ambulance data and expert opinion until acceptable thresholds of performance are achieved. User interfaces will be developed and tested using human–computer interface design principles.
The combined collaborative approach of bringing together experts and software developers, and with deep engagement of Rwandan stakeholders, including leadership of Rwanda Ministry of Health through its technical arm, Rwanda Biomedical Center, should lead to an ambulance communication system which is used, sustained and effective.
The project was approved by the Rwanda National Research Ethics Committee. Annual reports will be disseminated to relevant stakeholders, followed by the public. Publications will be open access as per the funding policy.
ISRCTN97674565. Registered on 29 July 2024.
To compare outcome data of hemicolectomy patients before and after the establishment of a preoperative anaesthesia assessment clinic (PAC).
This observational study was conducted retrospectively through an electronic health record review covering periods before (2014–2017) and after (2017–2022) the PAC was established.
An acute care hospital in Norway.
A total of 612 patients undergoing elective open or laparoscopic hemicolectomy were included, of whom 338 (55.2%) had attended the PAC.
The primary outcome was the rate of cancellation of planned surgeries, and the secondary outcomes were length of hospital stay (LOS), unanticipated intraoperative anaesthesia-related events and the presence of documentation relevant to the planning of anaesthesia in the patient’s medical records preoperatively.
Compared with the after-PAC cohort, the before-PAC cohort was numerically more likely to have their planned surgery cancelled (OR=1.97, 95% CI (0.84 to 4.61); p=0.12). The before-PAC cohort also had a numerically lower rate of unanticipated intraoperative anaesthesia-related events (18.6%) than the after-PAC cohort (22.5%; p=0.240). However, neither of these differences was statistically significant. Median LOS was significantly shorter in the after-PAC cohort (4.79 days, IQR (3.80–6.12)) than in the before-PAC cohort (5.16 days (4.09–7.18); p=0.001). Moreover, the presence of documentation relevant to the planned anaesthesia in the medical records was significantly more common for after-PAC patients.
The establishment of the PAC reduced the rate of planned surgery cancellations but increased the rate of recorded intraoperative anaesthesia events. Patients who attended the PAC had a significantly shorter LOS and more anaesthesia-related information in their medical records.