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Background Half of the global population is at risk for catastrophic health expenditure (CHE) in the event that they require surgery. Universal health coverage fundamentally requires protection from CHE, particularly in low- and middle-income countries (LMICs). Financial risk protection reports in LMICs covering surgical care are limited. We explored the relationship between financial risk protection and hospital admission among injured patients in Cameroon to understand the role of health insurance in addressing unmet need for surgery in LMICs. Methods The Cameroon National Trauma Registry, a database of all injured patients presenting to the emergency departments (ED) of three Cameroonian hospitals, was retrospectively reviewed between 2015 and 2017. Multivariate regression analysis identified predictors of hospital admission after injury and of patient report of cost inhibiting their care. Results Of the 7603 injured patients, 95.7% paid out-of-pocket to finance ED care. Less than two percent (1.42%) utilized private insurance, and more than half (54.7%) reported that cost inhibited their care. In multivariate analysis, private insurance coverage was a predictor of hospital admission (OR 2.17, 95% CI: 1.26, 3.74) and decreased likelihood of cost inhibiting care (OR 0.34, 95% CI: 0.20, 0.60) when compared to individuals paying out-of-pocket. Conclusion The prevalence of out-of-pocket spending among injured patients in Cameroon highlights the need for financial risk protection that encompasses surgical care. Patients with private insurance were more likely to be admitted to the hospital, and less likely to report that cost inhibited care, supporting private health insurance as a potential financing strategy.

Delivery delays of laboratory results can result in death and/or economic loss to both the patient and the health system. Data is limited regarding turnaround time for tuberculosis testing in Cameroon. We evaluated intra- turnaround time in tuberculosis diagnosis, identified root causes, and brainstormed solutions to improve patient satisfaction. In this cross-sectional descriptive study, turnaround time for the pre-analytic phase was set at 3 hours, the analytic phase at 11 hours, and the post-analytic phase at 10 hours. The overall turnaround time was 24 hours. We used the Fishbone method of problem analysis involving the personnel of the Tuberculosis Reference Laboratory-Douala, to identify root causes. We brainstormed using the \"Whys\" causes of turnaround time failure during the process of tuberculosis diagnosis by GeneXpert MTB/RIF. We analyzed samples from 526 clients. The median turnaround time was 45 (Range: 2-120) hours. A total of 216(41.1%) clients had a turnaround time failure. The turnaround time failures in the pre-analytic, analytic, and post-analytics phases were 64(29.6%), 128(59.3%), and 12(11.1%) respectively. Overall, 19 root causes of turnaround time failure were identified and grouped into six categories, namely: equipment, administration, technical-staff, environment, material, and method. Equipment maintenance (defective or non-calibrated modules) was the critical cause of turnaround time failures accounting for 86 (39.8%) of the overall turnaround time failure. turnaround time in tuberculosis diagnosis is longer than expected, retarding patient care management. Focusing on equipment maintenance enhances the intra-laboratory testing process, thus improving overall patient satisfaction. The need for further studies to incorporate the extra-laboratory turnaround time in assessing the overall turnaround time is imperative.

Respiratory syncytial virus (RSV) is one of the major pathogens frequently associated with severe respiratory tract infections in younger children and older adults globally. There is an unmet need with a lack of routine country-specific databases and/or RSV surveillance systems on RSV disease burden among adults in most low- and middle-income countries, including Cameroon. We aim to estimate the adult RSV burden needed to develop a framework for establishing an RSV surveillance database in Cameroon. A two-phase study approach will be implemented, including a literature review and a review of medical records. First, a systematic review of available literature will provide insights into the current burden of RSV in adults in Cameroon, searching the following databases: Global Health, PubMed, CINAHL, Embase, African Journal Online Library, Scopus, Global Index Medicus, Cochrane databases, and grey literature search. Identified studies will be included if they reported on the RSV burden of disease among Cameroonian adults aged ≥18 years from 1st January 1990 to 31st December 2023. A narrative synthesis of the evidence will be provided. A meta-analysis will be conducted using a random effect model, when feasible. Two co-authors will independently perform data screening, extraction, and synthesis and will be reported according to the PRISMA-P guidelines for writing systematic review protocols. Secondly, a retrospective cohort design will permit data analysis on RSV among adults in the laboratory registers at the National Influenza Center. Medical records will be reviewed to link patients' files from emanating hospitals to capture relevant demographic, laboratory, and clinical data. The International Classification of Diseases and Clinical Modifications 10th revision (ICD-10-CM) codes will be used to classify the different RSV outcomes retrospectively. The primary outcome is quantifying the RSV burden among the adult population, which can help inform policy on establishing an RSV surveillance database in Cameroon. The secondary outcomes include (i) estimates of RSV prevalence among Cameroonian adult age groups, (ii) RSV determinants, and (iii) clinical outcomes, including proportions of RSV-associated morbidity and/or death among age-stratified Cameroonian adults with medically attended acute respiratory tract infections. The evidence generated from the two projects will be used for further engagement with relevant stakeholders, including policymakers, clinicians, and researchers, to develop a framework for systematically establishing an RSV surveillance database in Cameroon. This study proposal has been registered (CRD42023460616) with the University of York Center for Reviews and Dissemination of the International Prospective Register of Systematic Reviews (PROSPERO).

Introduction Tuberculosis(TB), currently has limited treatment options, and faces worldwide threat of drug-resistance(DR). In 2022, the DR-TB prevalence in Cameroon was 1.4% among new-cases and 8.3% among retreatment-cases. We analyzed the DR-TB database to descript the trends and DR-TB profile, treatment-outcome and associated risk-factors so-as-to propose measures to enhance program performance in Cameroon. Materials and methods We conducted a retrospective cohort study, analysed the DR-TB database of the Littoral region from 2013 to 2022. We appreciated the data-quality using zero-reporting, completeness, consistency, and validity indicators. We categorized DR-TB into Rifampicin-resistant-TB(RR-TB), multi-drug-resistant-TB(MDR-TB), pre-extensive-drug-resistant-TB(pre-XDR-TB), and XDR-TB and performed descriptive statistics. We assessed DR-TB treatment outcome targeting > 80% cure and/or completed treatment. Multiple logistic regression was used to determine risk factors related to poor treatment outcomes, and adjusted relative risk(RR) was considered significant at p  < 0.05. Results Overall database quality was 93.7% with uniqueness 100%, data-completeness 82.5%, consistency 97% and validity 95.1%. A total of 567 DR-TB cases were reported, with median age of 34 (1–80) years, male-to-female sex ratio (3:2). Cases were classified as 19(3.4%) RR-TB, 536(94.6%) MDR-TB, 7(1.3%) pre-XDR-TB, and 4(0.7%) XDR-TB. Case-reporting increased from 2013, reaching their peak in 2018. The overall treatment refusal rate was 123(11.9%) and treatment outcomes of 270(60.8%) cured, 116(26.4%) completed, 32(7.2%) deaths, 19(4.3%) lost-to-follow-up, and 6(1.4%) failure were recorded. We identified 84 dead (CFR:14.8%) amongst whom 52(62%) refused treatment, 17(20%) occurred during the first month of therapy and 13(15.5%) HIV-TB co-infected. Male gender [ p  = 0.006, RR = 2.5 (95% CI: 1.3–4.7)], HIV positive status [ p  = 0.012, RR = 2.1 (95% CI: 1.2–3.7)], and previous DR-TB status [ p  = 0.02, RR = 3.9 (95% CI: 1.3–12.0)] were statistically associated to poor treatment outcomes. Conclusion In the Littoral Region-Cameroon, cases of DR-TB increased from 2013, reaching their peak in 2018 befor dropping right up to 2022. RR-TB, MDR-TB, Pre-XDR-TB and XDR-TB represented 3.4%, 94.6%, 1.3% and 0.7% of all reported DR-TB cases. Overall, DR-TB treatment success rate was 87.2%. Male-gender, HIV-positive status, and previous DR-TB are associated with poor TB treatment outcomes. We recommend universal drug susceptibility testing to ensure early/maximum DR-TB case-detection and proper pre-treatment counselling to limit the high death rates and anti-TB treatment refusal rates which are setbacks from achieving end-TB strategies.

ObjectivesIn Cameroon, long-term outcomes after discharge from trauma are largely unknown, limiting our ability to identify opportunities to reduce the burden of injury. In this study, we evaluated injury-related death and disability in Cameroonian trauma patients over a 6-month period after hospital discharge.DesignProspective cohort study.SettingFour hospitals in the Littoral and Southwest regions of Cameroon.ParticipantsA total of 1914 patients entered the study, 1304 were successfully contacted. Inclusion criteria were patients discharged after being treated for traumatic injury at each of four participating hospitals during a 20-month period. Those who did not possess a cellular phone or were unable to provide a phone number were excluded.Primary and secondary outcome measuresThe Glasgow Outcome Scale—Extended (GOSE) was administered to trauma patients at 2 weeks, 1 month, 3 months and 6 months post discharge. Median GOSE scores for each timepoint were compared and regression analyses were performed to determine associations with death and disability.ResultsOf 71 deaths recorded, 90% occurred by 2 weeks post discharge. At 6 months, 22% of patients still experienced severe disability. Median (IQR) GOSE scores at the four timepoints were 4 (3–7), 5 (4–8), 7 (4–8) and 7 (5–8), respectively, (p<0.01). Older age was associated with greater odds of postdischarge disability (OR: 1.23, 95% CI: 1.07 to 1.41) and mortality (OR: 2.15, 95% CI: 1.52 to 3.04), while higher education was associated with decreased odds of disability (OR: 0.65, 95% CI: 0.58 to 0.73) and mortality (OR: 0.38, 95% CI: 0.31 to 0.47). Open fractures (OR: 1.73, 95% CI: 1.38 to 2.18) and closed fractures (OR: 1.83, 95% CI: 1.42 to 2.36) were associated with greater postdischarge disability, while higher Injury Severity Score (OR: 2.44, 95% CI: 2.13 to 2.79) and neurological injuries (OR: 4.40, 95% CI: 3.25 to 5.96) were associated with greater odds of postdischarge mortality.ConclusionMobile follow-up data show significant morbidity and mortality, particularly for orthopaedic and neurologic injuries, up to 6 months following trauma discharge. These results highlight the need for reliable follow-up systems in Cameroon.

Global health is transitioning toward a focus on building strong and sustainable health systems in developing countries; however, resources, funding, and agendas continue to concentrate on “vertical” (disease-based) improvements in care. Surgical care in low- and middle-income countries (LMICs) requires the development of health systems infrastructure and can be considered an indicator of overall system readiness. Improving surgical care provides a scalable gateway to strengthen health systems in multiple domains. In this position paper by the Society of University Surgeons’ Committee on Global Academic Surgery, we propose that health systems development appropriately falls within the purview of the academic surgeon. Partnerships between academic surgical institutions and societies from high-income and resource-constrained settings are needed to strengthen advocacy and funding efforts and support development of training and research in LMICs.

Real-time PCR is recommended to detect SARS-CoV-2 infection. However, PCR availability is restricted in most countries. Rapid diagnostic tests are considered acceptable alternatives, but data are lacking on their performance. We assessed the performance of four antibody-based rapid diagnostic tests and one antigen-based rapid diagnostic test for detecting SARS-CoV-2 infection in the community in Cameroon. In this clinical, prospective, diagnostic accuracy study, we enrolled individuals aged at least 21 years who were either symptomatic and suspected of having COVID-19 or asymptomatic and presented for screening. We tested peripheral blood for SARS-CoV-2 antibodies using the Innovita (Biological Technology; Beijing, China), Wondfo (Guangzhou Wondfo Biotech; Guangzhou, China), SD Biosensor (SD Biosensor; Gyeonggi-do, South Korea), and Runkun tests (Runkun Pharmaceutical; Hunan, China), and nasopharyngeal swabs for SARS-CoV-2 antigen using the SD Biosensor test. Antigen rapid diagnostic tests were compared with Abbott PCR testing (Abbott; Abbott Park, IL, USA), and antibody rapid diagnostic tests were compared with Biomerieux immunoassays (Biomerieux; Marcy l'Etoile, France). We retrospectively tested two diagnostic algorithms that incorporated rapid diagnostic tests for symptomatic and asymptomatic patients using simulation modelling. 1195 participants were enrolled in the study. 347 (29%) tested SARS-CoV-2 PCR-positive, 223 (19%) rapid diagnostic test antigen-positive, and 478 (40%) rapid diagnostic test antibody-positive. Antigen-based rapid diagnostic test sensitivity was 80·0% (95% CI 71·0–88·0) in the first 7 days after symptom onset, but antibody-based rapid diagnostic tests had only 26·8% sensitivity (18·3–36·8). Antibody rapid diagnostic test sensitivity increased to 76·4% (70·1–82·0) 14 days after symptom onset. Among asymptomatic participants, the sensitivity of antigen-based and antibody-based rapid diagnostic tests were 37·0% (27·0–48·0) and 50·7% (42·2–59·1), respectively. Cohen's κ showed substantial agreement between Wondfo antibody rapid diagnostic test and gold-standard ELISA (κ=0·76; sensitivity 0·98) and between Biosensor and ELISA (κ=0·60; sensitivity 0·94). Innovita (κ=0·47; sensitivity 0·93) and Runkun (κ=0·43; sensitivity 0·76) showed moderate agreement. An antigen-based retrospective algorithm applied to symptomatic patients showed 94·0% sensitivity and 91·0% specificity in the first 7 days after symptom onset. For asymptomatic participants, the algorithm showed a sensitivity of 34% (95% CI 23·0–44·0) and a specificity of 92·0% (88·0–96·0). Rapid diagnostic tests had good overall sensitivity for diagnosing SARS-CoV-2 infection. Rapid diagnostic tests could be incorporated into efficient testing algorithms as an alternative to PCR to decrease diagnostic delays and onward viral transmission. Médecins Sans Frontières WACA and Médecins Sans Frontières OCG. For the French and Spanish translations of the abstract see Supplementary Materials section.

IntroductionAbout 54% of deaths in low- and middle-income countries (LMICs) are attributable to lack of prehospital care. The single largest contributor to the disability-adjusted life years due to poor prehospital care is injury. Despite having disproportionately high injury burdens, most LMIC trauma systems have little prehospital organization. An understanding of existing prehospital care patterns in LMICs is warranted as a precursor to strengthening prehospital systems.MethodsIn this retrospective pilot study, we collected demographic and injury characteristics, therapeutic itinerary, and transport data of patients that were captured by the trauma registry at the Central Hospital of Yaoundé (CHY) from April 15, 2009 to October 15, 2009. Bivariate and multivariate regression analyses were used to explore relationships between care-seeking behavior, method of transport, and predictor variables.ResultsThe mean age was 30.2 years (95% CI [29.7, 30.7]) and 73% were male. Therapeutic itinerary was available for 97.5% of patients (N = 2855). Nearly 18.7% of patients sought care elsewhere before CHY and 82% of such visits were at district hospitals or health clinics. Moderately (OR 1.336, p = 0.009) and severely (OR 1.605, p = 0.007) injured patients were more likely to seek care elsewhere before CHY and were less likely to be discharged home after their emergency ward visit as opposed to being admitted to the hospital for further treatment (OR 0.462, p < 0.001). Commercial vehicles provided most prehospital transport (65%), while police or ambulance transported few injured patients (7%).ConclusionsPossible areas for prehospital trauma care strengthening include training lay commercial vehicle drivers in trauma care and formalizing triage, referral, and communication protocols for prehospital care to optimize timely transfer and care while minimizing secondary injury to patients.

Background Cameroon has faced frequent and severe cholera outbreaks since 1971, with case-fatality rates (CFRs) ranging from 12% in 1991, to 5.3% in 2014, all higher than the less than 1% cholera CFR target set by WHO. However, not many studies providing insight on context-specific risk factors have been published. The purpose of this study was to describe the recent cholera outbreaks in Cameroon and to determine factors associated with mortality. Methods This was an analytical cross-sectional study that employed a retrospective design exploiting Ministry of Public Health cholera line-lists from 2018–2023. These line lists were obtained from the Public Health Emergency Operations Coordination and Control Center, compiled into a single Microsoft Excel Sheet, cleaned and analyzed using Microsoft Excel 2016 and SPSS version 20. Cholera cases were defined as those confirmed in reference laboratories via stool culture and suspected cases with proven epidemiological link to laboratory-confirmed cases (suspected cases in health districts with active laboratory-confirmed cases). Factors associated with cholera mortality were identified using binary logistic regression (adjusted odds ratios), after socio-demographic, clinical, and geographical distribution of cholera cases were described. Maps were generated using QGIS version 3.28.14. Results Between May 2018 and March 2023, Cameroon experienced four cholera epidemics resulting in 18,986 reported cases and affecting 8 out of 10 administrative regions. The three coastal regions (Littoral, South and South-West Region) reported 83.4% (15,839/18,986) of all the cases while the remaining five affected regions jointly reported 16.6% (3,147/18,986) cases. The most represented age group were those aged 25–35 years (21.9%; 4,163/1,876) and the male: female sex ratio was 1.27. The overall CFR was 2.7% (478 deaths/17,967 cases with known outcome) and was highest among persons > 65 years (6.8%; 59/869). Urban areas notified more cases than rural areas (13,267 vs 5,484). Factors associated with increased mortality were male sex (aOR 1.61, 95% CI: 1.30—2.04 ), dry season (aOR 1.67, 95% CI: 1.28—2.22 ), age above 45 years (aOR 1.79, 95% CI: 1.45—2.22 ) and severe dehydration at consultation (aOR 12.76, 95% CI: 7.66–21.25 ). Conclusions Cholera outbreaks occurred in eight out of the ten administrative regions in Cameroon during the study period and mortality appeared to be driven by multiple factors notably severe dehydration at time of consultation, advanced age, male sex and the dry season. The high caseloads and case-fatality rates reiterate the need for further strengthening of existing cholera surveillance and outbreak response mechanisms.