Health Literacy Co-Design in a Low Resource Setting: Harnessing Local Wisdom to Inform Interventions across Fishing Villages in Egypt to Improve Health and Equity

Fishermen in low resource settings have limited access to health services and may have a range of health literacy-related difficulties that may lead to poor health outcomes. To provide solutions and interventions based on their needs, co-design is considered best practice in such settings. This study aimed to implement a co-design process as a step towards developing health literacy interventions to improve health and equity in the Borollos Lake region of northern Egypt, a low resource setting with a high prevalence of chronic diseases. This study was guided by the Ophelia (Optimising Health Literacy and Access) process, a widely used and flexible co-design process that seeks to create local and fit-for-purpose health literacy solutions through genuine engagement and participation of community members and relevant stakeholders. Following a health literacy survey using the Health Literacy Questionnaire (HLQ), cluster analysis was conducted to identify the diverse health literacy profiles among the fishing communities. Seven health literacy profiles were identified. Vignettes, representing these profiles, were presented and discussed in ideas generation/co-design workshops with fishermen and health workers to develop intervention ideas. Seventeen fishermen, 22 wives of fishermen, and 20 nurses participated in four workshops. Fifteen key strategies across five themes, including ‘Enhancing education among fishing communities’, ‘Provide good quality health services’, ‘Financial support for health’, ‘Social support for health’, and ‘Promote better health-related quality of life among fishermen’, were generated. The ideas did not only target the individuals but also required actions from the government, non-government organizations, and fishermen syndicates. By harnessing local wisdom, the Ophelia process has created meaningful engagement with the local communities, leading to a wide range of practical and feasible solutions that match the special needs and environment of a low resource setting

Health literacy strengths and limitations among rural fishing communities in Egypt using the Health Literacy Questionnaire (HLQ).

IntroductionHealth literacy is an important determinant of health. The aim of this study was to use a multi-dimensional measurement tool to describe the health literacy of people living in a fishing community in northern Egypt.Methods and analysisData were collected from 436 people (fisherman and their families), using the Health Literacy Questionnaire (HLQ), which includes 9 scales. Effect sizes (ES) for standardized mean differences estimated the magnitude of difference between demographic groups.ResultsThe mean age of participants was 42 years, 50% were male, 42% were working in the fishing sector, 17.9% had access to the Internet and 36.8% were illiterate. Male participants showed higher capabilities in scales 3. Actively managing my health and 4. Social support for health (ES = 0.21 and 0.27, respectively). In comparison to other occupations, fishing occupation had a negative impact on scale 7. Navigating the healthcare system (ES -0.23). Also, higher educational level was associated with higher HLQ indicators. Across all scales, scale 2. Having sufficient information to manage my health showed the lowest mean (SD) score; 2.23 (0.76) indicating that most people reported they didn't have enough information.ConclusionsThis study has revealed that fishermen and their families have a wide range of health literacy difficulties which are likely to have profound negative effects on health behavior and health outcomes

Hepatitis C virus infection and risk factors among patients and health-care workers of Ain Shams University hospitals, Cairo, Egypt

International audienceBackgroundHospitals are suspected of playing a key role in HCV epidemic dynamics in Egypt. This work aimed at assessing HCV prevalence and associated risk factors in patients and health-care workers (HCWs) of Ain Shams University (ASU) hospitals in Cairo.MethodsWe included 500 patients admitted to the internal medicine or surgery hospital from February to July, 2017, as well as 50 HCWs working in these same hospitals. Participants were screened for anti-HCV antibodies and HCV RNA. A questionnaire was administered to collect data on demographic characteristics and medical/surgical history. For HCWs, questions on occupational exposures and infection control practices were also included.ResultsThe overall prevalence of anti-HCV antibodies was 19.80% (95% CI: 16.54–23.52) among participating patients, and 8.00% (95% CI: 0.48–15.52) among participating HCWs. In HCWs, the only risk factors significantly associated with anti-HCV antibodies were age and profession, with higher prevalence in older HCWs and those working as cleaners or porters. In patients, in a multivariate logistic regression, age over 50 (aOR: 3.4 [1.9–5.8]), living outside Cairo (aOR: 2.1 [1.2–3.4]), admission for liver or gastro-intestinal complaints (aOR: 4.2 [1.8–9.9]), and history of receiving parenteral anti-schistosomiasis treatment (aOR: 2.7 [1.2–5.9]) were found associated with anti-HCV antibodies.ConclusionsWhile HCV prevalence among patients has decreased since the last survey performed within ASU hospitals in 2008, it is still significantly higher than in the general population. These results may help better control further HCV spread within healthcare settings in Egypt by identifying at-risk patient profiles upon admission

Preventing iatrogenic HCV infection: A quantitative risk assessment based on observational data in an Egyptian hospital

International audienceWhen compliance with infection control recommendations is non-optimal, hospitals may play an important role in hepatitis C (HCV) transmission. However, few studies have analyzed the nosocomial HCV acquisition risk based on detailed empirical data. Here, we used data from a prospective cohort study conducted on 500 patients in the Ain Shams hospital (Cairo, Egypt) in 2017 with the objective of identifying (i) high-risk patient profiles and (ii) transmission hotspots within the hospital. Data included information on patient HCV status upon admission, their trajectories between wards and the invasive procedures they underwent. We first performed a sequence analysis to identify different hospitalization profiles. Second, we estimated each patient’s individual risk of HCV acquisition based on ward-specific prevalence and procedures undergone, and risk hotspots by computing ward-level risks. Then, using a beta regression model, we evaluated upon-admission factors linked to HCV acquisition risk and built a score estimating the risk of HCV infection during hospitalization based on these factors. Finally, we assessed and compared ward-focused and patient-focused HCV control strategies. The sequence analysis based on patient trajectories allowed us to identify four distinct patient trajectory profiles. The risk of HCV infection was greater in the internal medicine department, compared to the surgery department (0·188% [0·142%-0·235%] vs. 0·043%, CI 95%: [0·036%-0·050%]), with risk hotspots in the geriatric, tropical medicine and intensive-care wards. Upon-admission risk predictors included source of admission, age, reason for hospitalization, and medical history. Interventions focused on the most at-risk patients were most effective to reduce HCV infection risk. Our results might help reduce the risk of HCV acquisition during hospitalization in Egypt by targeting enhanced control measures to ward-level transmission hotspots and to at-risk patients identified upon admission

Point Biserial Correlation (PBC) for 1 to 20 clusters.

PBC was very similar for 3, 4 and 5 partitions. Therefore, we chose to build 4 clusters of patients (vertical dashed line). (PNG)</p

Distributions of the procedure–specific risks of HCV infection in case of contaminated equipment.

Distributions of the procedure–specific risks of HCV infection in case of contaminated equipment.</p

Panel of ward characteristics for each ward in the surgery hospital.

(A) HCV prevalence in each ward with their associated 95% confidence intervals. (B) Average number of procedures per patient. Procedure types are represented from the high-risk ones to the low-risk ones (from left to right). (C) Boxplots of average ward-specific risk of HCV infection, coloured according to the number of patients visiting these wards. Mean values are represented by purple diamond dots. Three wards are not represented because no patients underwent invasive procedures within them.</p

Sensitivity analysis for the cut-off value of the risk considered in the logistic regression.

Sensitivity analysis for the cut-off value of the risk considered in the logistic regression.</p

Panel of ward characteristics for each ward in the internal medicine hospital.

(A) HCV prevalence in each ward with their associated 95% confidence intervals. (B) Average number of procedures per patient. Procedure types are represented from the high-risk ones to the low-risk ones (from left to right). (C) Boxplots of average ward-specific risk of HCV infection, coloured according to the number of patients visiting these wards. Mean values are represented by purple diamond dots.</p