6 research outputs found
Predictors of Compliance to Hand Hygiene among Health Care Workers in Rwanda
BackgroundHand hygiene is critical to the prevention of Healthcare Acquired Infections. Compliance of health care workers to hand hygiene in developing countries is reportedly low.ObjectiveThe aim of this study was to assess predictors of hand hygiene compliance among healthcare workers in RwandaMethodsThis cross-sectional study was conducted in 26 selected hospitals. Trained hospital IPC focal points anonymously observed 1380 hand hygiene opportunities from 341 healthcare workers. Logistic regression analysis was used to identify predictors of compliance to hand hygiene among health care workers using Stata.ResultsThe overall compliance to HH was 72.4%. It was respectively 70%, 77% and 60% less likely in labor (AOR=0.30, 95% CI: 0.19-0.49), maternity (AOR= 0.27, 95% CI: 0.17-0.43), and neonatology (AOR= 0.40 95% CI: 0.25-0.65) departments than in theater. Other clinical staff than nurses/midwives were 35% less likely to comply than did medical doctors. The availability of water source and soap at hand washing station was associated with 2.5 times higher odds of compliance (AOR=2.46, 95% CI: 1.27-4.77).ConclusionThe compliance to HH is associated with the availability of hand hygiene facilities. Well-maintained water sources and soap at hand washing stations should be a priority in health care settings.
Rwanda J Med Health Sci 2022;5(2):170-17
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Using mobile health technology and community health workers to identify and refer caesarean-related surgical site infections in rural Rwanda: a randomised controlled trial protocol
Introduction: Surgical site infections (SSIs) are a significant cause of morbidity and mortality in low-income and middle-income countries, where rates of SSIs can reach 30%. Due to limited access, there is minimal follow-up postoperatively. Community health workers (CHWs) have not yet been used for surgical patients in most settings. Advancements in telecommunication create an opportunity for mobile health (mHealth) tools to support CHWs. We aim to evaluate the use of mHealth technology to aid CHWs in identification of SSIs and promote referral of patients back to healthcare facilities. Methods and analysis Prospective randomised controlled trial conducted at Kirehe District Hospital, Rwanda, from November 2017 to November 2018. Patients ≥18 years who undergo caesarean section are eligible. Non-residents of Kirehe District or patients who remain in hospital >10 days postoperatively will be excluded. Patients will be randomised to one of three arms. For arm 1, a CHW will visit the patient’s home on postoperative day 10 (±3 days) to administer an SSI screening protocol (fever, pain or purulent drainage) using an electronic tablet. For arm 2, the CHW will administer the screening protocol over the phone. For both arms 1 and 2, the CHW will refer patients who respond ‘yes’ to any of the questions to a health facility. For arm 3, patients will not receive follow-up care. Our primary outcome will be the impact of the mHealth-CHW intervention on the rate of return to care for patients with an SSI. Ethics and dissemination The study has received ethical approval from the Rwandan National Ethics Committee and Partners Healthcare. Results will be disseminated to Kirehe District Hospital, Rwanda Ministry of Health, Rwanda Surgical Society, Partners In Health, through conferences and peer-reviewed publications. Trial registration number NCT03311399
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Non-Obstetric Surgical Care at Three Rural District Hospitals in Rwanda: More Human Capacity and Surgical Equipment May Increase Operative Care
Background: Most mortality attributable to surgical emergencies occurs in low- and middle-income countries. District hospitals, which serve as the first-level surgical facility in rural sub-Saharan Africa, are often challenged with limited surgical capacity. This study describes the presentation, management, and outcomes of non-obstetric surgical patients at district hospitals in Rwanda. Methods: This study included patients seeking non-obstetric surgical care at three district hospitals in rural Rwanda in 2013. Demographics, surgical conditions, patient care, and outcomes are described; operative and non-operative management were stratified by hospitals and differences assessed using Fisher’s exact test. Results: Of the 2660 patients who sought surgical care at the three hospitals, most were males (60.7 %). Many (42.6 %) were injured and 34.7 % of injuries were through road traffic crashes. Of presenting patients, 25.3 % had an operation, with patients presenting to Butaro District Hospital significantly more likely to receive surgery (57.0 %, p < 0.001). General practitioners performed nearly all operations at Kirehe and Rwinkwavu District Hospitals (98.0 and 100.0 %, respectively), but surgeons performed 90.6 % of the operations at Butaro District Hospital. For outcomes, 39.5 % of all patients were discharged without an operation, 21.1 % received surgery and were discharged, and 21.1 % were referred to tertiary facilities for surgical care. Conclusion: Significantly more patients in Butaro, the only site with a surgeon on staff and stronger surgical infrastructure, received surgery. Availing more surgeons who can address the most common surgical needs and improving supplies and equipment may improve outcomes at other districts. Surgical task sharing is recommended as a temporary solution
The Effect and Feasibility of mHealth-Supported Surgical Site Infection Diagnosis by Community Health Workers After Cesarean Section in Rural Rwanda: Randomized Controlled Trial
BackgroundThe development of a surgical site infection (SSI) after cesarean section (c-section) is a significant cause of morbidity and mortality in low- and middle-income countries, including Rwanda. Rwanda relies on a robust community health worker (CHW)–led, home-based paradigm for delivering follow-up care for women after childbirth. However, this program does not currently include postoperative care for women after c-section, such as SSI screenings.
ObjectiveThis trial assesses whether CHW’s use of a mobile health (mHealth)–facilitated checklist administered in person or via phone call improved rates of return to care among women who develop an SSI following c-section at a rural Rwandan district hospital. A secondary objective was to assess the feasibility of implementing the CHW-led mHealth intervention in this rural district.
MethodsA total of 1025 women aged ≥18 years who underwent a c-section between November 2017 and September 2018 at Kirehe District Hospital were randomized into the three following postoperative care arms: (1) home visit intervention (n=335, 32.7%), (2) phone call intervention (n=334, 32.6%), and (3) standard of care (n=356, 34.7%). A CHW-led, mHealth-supported SSI diagnostic protocol was delivered in the two intervention arms, while patients in the standard of care arm were instructed to adhere to routine health center follow-up. We assessed intervention completion in each intervention arm and used logistic regression to assess the odds of returning to care.
ResultsThe majority of women in Arm 1 (n=295, 88.1%) and Arm 2 (n=226, 67.7%) returned to care and were assessed for an SSI at their local health clinic. There were no significant differences in the rates of returning to clinic within 30 days (P=.21), with high rates found consistently across all three arms (Arm 1: 99.7%, Arm 2: 98.4%, and Arm 3: 99.7%, respectively).
ConclusionsHome-based post–c-section follow-up is feasible in rural Africa when performed by mHealth-supported CHWs. In this study, we found no difference in return to care rates between the intervention arms and standard of care. However, given our previous study findings describing the significant patient-incurred financial burden posed by traveling to a health center, we believe this intervention has the potential to reduce this burden by limiting patient travel to the health center when an SSI is ruled out at home. Further studies are needed (1) to determine the acceptability of this intervention by CHWs and patients as a new standard of care after c-section and (2) to assess whether an app supplementing the mHealth screening checklist with image-based machine learning could improve CHW diagnostic accuracy.
Trial RegistrationClinicalTrials.gov NCT03311399; https://clinicaltrials.gov/ct2/show/NCT0331139