mHealth technology supporting community health worker-led surgical site infection diagnosis after cesarean section in rural Rwanda: A randomized control trial (Preprint)

2021 ◽  
Author(s):  
Frederick Kateera ◽  
Robert Riviello ◽  
Andrea Goodman ◽  
Theoneste Nkurunziza ◽  
Teena Cherian ◽  
...  

BACKGROUND The 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 has 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 post-operative care for women after c-section, such as SSI checks. OBJECTIVE This trial assessed whether CHW/mobile health (mHealth) interventions improved rates of return to care among women developing an SSI following c-section at a rural Rwandan district hospital. METHODS 1,025 women aged ≥18 years who underwent a c-section between November 2017 and September 2018 at Kirehe District Hospital were randomized into three post-operative arms: 1) home visit, 2) phone call, and 3) routine health center follow-up. A CHW-led, mHealth-supported SSI diagnostic protocol was delivered in intervention arms. We assessed intervention completion in each intervention arm and used logistic regression to assess impact on return to care. RESULTS We randomized 335 women to Arm 1, 334 to Arm 2, and 356 to Arm 3. 88.1% of women in Arm 1 and 68.3% in Arm 2 were successfully assessed for an SSI. There were high rates of returning to clinic within 30-days across arms (Arm 1: 99.7%, Arm 2: 98.4%, Arm 3: 99.7%; P=.209). CONCLUSIONS Home-based post-c-section follow-up is feasible in rural Africa when performed by mHealth-supported CHWs. There was no difference in return to care rates but given the significant expense of traveling to a health center, this intervention could create substantial benefit. CLINICALTRIAL ClinicalTrials.gov NCT03311399

2020 ◽  
Vol 231 (4) ◽  
pp. S123-S124
Author(s):  
Elizabeth Miranda ◽  
Anne Niyigena ◽  
Laban Bikorimana ◽  
Lotta Velin ◽  
Bethany Hedt-Gauthier ◽  
...  

2018 ◽  
Vol 111 (12) ◽  
pp. 453-461 ◽  
Author(s):  
Benedict Hayhoe ◽  
Thomas E Cowling ◽  
Virimchi Pillutla ◽  
Priya Garg ◽  
Azeem Majeed ◽  
...  

Objective To model cost and benefit of a national community health worker workforce. Design Modelling exercise based on all general practices in England. Setting United Kingdom National Health Service Primary Care. Participants Not applicable. Data sources Publicly available data on general practice demographics, population density, household size, salary scales and screening and immunisation uptake. Main outcome measures We estimated numbers of community health workers needed, anticipated workload and likely benefits to patients. Results Conservative modelling suggests that 110,585 community health workers would be needed to cover the general practice registered population in England, costing £2.22bn annually. Assuming community health workerss could engage with and successfully refer 20% of eligible unscreened or unimmunised individuals, an additional 753,592 cervical cancer screenings, 365,166 breast cancer screenings and 482,924 bowel cancer screenings could be expected within respective review periods. A total of 16,398 additional children annually could receive their MMR1 at 12 months and 24,716 their MMR2 at five years of age. Community health workerss would also provide home-based health promotion and lifestyle support to patients with chronic disease. Conclusion A scaled community health worker workforce integrated into primary care may be a valuable policy alternative. Pilot studies are required to establish feasibility and impact in NHS primary care.


2014 ◽  
Vol 20 (8) ◽  
pp. 721-728 ◽  
Author(s):  
Linnaea Schuttner ◽  
Ntazana Sindano ◽  
Mathew Theis ◽  
Cory Zue ◽  
Jessica Joseph ◽  
...  

2015 ◽  
Vol 12 (9) ◽  
pp. 11209-11226 ◽  
Author(s):  
Denise Ramírez ◽  
Mónica Ramírez-Andreotta ◽  
Lourdes Vea ◽  
Rocío Estrella-Sánchez ◽  
Ann Wolf ◽  
...  

2019 ◽  
Vol 10 (2) ◽  
pp. 18
Author(s):  
Evode Uwamungu ◽  
William Rutagengwa ◽  
Jenae Logan ◽  
Pascal Nkubito ◽  
Rex Wong

Post-caesarean surgical site infection (PCSI) is one of the most common cesarean section-related complications. In low- and middle-income countries (LMIC), PCSI prevalence is often under-reported and inaccurate because LMIC surveillance systems are often unable to detect PCSIs developed after discharge; this can ultimately wrongly inform the decision-making related to reducing PCSIs.This paper describes the establishment of a post-discharge PCSI surveillance system for identification of PCSI rate in a district hospital in Rwanda.A total of 540 women underwent CS in the hospital from November 2017 to February 2018, and 536 (99.3%) consented to participate in the surveillance. Among those consented, 22 had no telephone and 174 could not be reached by telephone despite multiple attempts. At the end of this study, a total of 340 women completed the entire surveillance period. The total PCSI rate was 11.5%.Out of all PCSIs, 21% were detected during hospitalization period and 79% were detected during the post-discharge period.The PCSI surveillance system developed in this project covered the 30-day period after surgery and provided a more accurate estimate of PCSI rate.  The system was able to track PCSIs developed after a patient was discharged from the hospital. Long term sustainability of the project must be evaluated.


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