Multimorbidity (presence of ≥2 long term conditions (LTCs)) is a growing global health challenge, yet we know little about the experiences of those living with multimorbidity in low- and middle-income countries (LMICs). We therefore explore: 1) experiences of men and women living with multimorbidity in urban and rural Malawi including their experiences of burden of treatment and 2) examine the utility of Normalization Process Theory (NPT) and Burden of Treatment Theory (BOTT) for structuring analytical accounts of these experiences. We conducted in depth, semi-structured interviews with 32 people in rural (n = 16) and urban settings (n = 16); 16 males, 16 females; 15 under 50 years; and 17 over 50 years. Data were analysed thematically and then conceptualised through the lens of NPT and BOTT. Key elements of burden of treatment identified included: coming to terms with and gaining an understanding of life with multimorbidity; dealing with resulting disruptions to family life; the work of seeking family and community support; navigating healthcare systems; coping with lack of continuity of care; enacting self-management advice; negotiating medical advice; appraising treatments; and importantly, dealing with the burden of lack of treatments/services. Poverty and inadequate healthcare provision constrained capacity to deal with treatment burden while supportive social and community networks were important enabling features. Greater access to health information/education would lessen treatment burden as would better resourced healthcare systems and improved standards of living. Our work demonstrates the utility of NPT and BOTT for aiding conceptualisation of treatment burden issues in LMICs but our findings highlight that ‘lack’ of access to treatments or services is an important additional burden which must be integrated in accounts of treatment burden in LMICs.

Background In sub-Saharan Africa (SSA), which experiences a disproportionately high cardiovascular disease (CVD) burden, population-based screening and prevention measures are hampered by low levels of knowledge about CVD and associated risk factors, and inaccurate perceptions of severity of risk. Methods This protocol describes the planned processes for implementing community-driven participatory research, using a citizen science method to explore CVD risk perceptions and to develop community-specific advocacy and prevention strategies in the rural and urban SSA settings. Multi-disciplinary research teams in four selected African countries will engage with and train community members living in rural and urban communities as citizen scientists to facilitate conceptualization, co-designing of research, data gathering, and co-creation of knowledge that can lead to a shared agenda to support collaborative participation in community-engaged science. The emphasis is on robust community engagement, using mobile technology to support data gathering, participatory learning, and co-creation of knowledge and disease prevention advocacy. Discussion Contextual processes applied and lessons learned in specific settings will support redefining or disassembling boundaries in participatory science to foster effective implementation of sustainable prevention intervention programmes in Low- and Middle-income countries.

ObjectiveIn most African countries, primary care is delivered through a district health system. Many factors, including staffing levels, staff experience, availability of equipment and facility management, affect the quality of primary care between and within countries. The purpose of this study was to assess the quality of primary care in different types of public health facilities in Southern Malawi.Study designThis was a cross-sectional quantitative study.SettingThe study was conducted in 12 public primary care facilities in Neno, Blantyre and Thyolo districts in July 2018.ParticipantsPatients aged ≥18 years, excluding the severely ill, were selected to participate in the study.Primary outcomesWe used the Malawian primary care assessment tool to conduct face-to-face interviews. Analysis of variance at 0.05 significance level was performed to compare primary care dimension means and total primary care scores. Linear regression models at 95% CI were used to assess associations between primary care dimension scores, patients’ characteristics and healthcare setting.ResultsThe final number of respondents was 962 representing 96.1% response rate. Patients in Neno hospitals scored 3.77 points higher than those in Thyolo health centres, and 2.87 higher than those in Blantyre health centres in total primary care performance. Primary care performance in health centres and in hospital clinics was similar in Neno (20.9 vs 19.0, p=0.608) while in Thyolo, it was higher at the hospital than at the health centres (19.9 vs 15.2, p<0.001). Urban and rural facilities showed a similar pattern of performance.ConclusionThese results showed considerable variation in experiences among primary care users in the public health facilities in Malawi. Factors such as funding, policy and clinic-level interventions influence patients’ reports of primary care performance. These factors should be further examined in longitudinal and experimental settings.

BackgroundThe high global prevalence of mental disorders justifies the need to quantify their burden in the sub-Saharan Africa where there is a dearth of information. These mental disorders are linked to different socio-demographic factors.ObjectiveTo determine the prevalence of, and factors associated with mental disorders among children and adolescents in Blantyre City, Malawi.Methods Children and adolescents aged 6 to 17 years were interviewed to determine their socio-demographic characteristics and assess their mental health status using the Strengths and Difficulties Questionnaire (SDQ) and Kiddie Schedule for Affective Disorders and Schizophrenia (K-SADS). Associations between mental disorders and socio-demographic characteristics were tested using Chi-square and logistic regression analysis.ResultsThe prevalence of symptoms of psychopathology on the SDQ was 7.3% (95%CI 4.8-10.5%) while for the K-SADS was 5.9% (95% CI 3.7%-8.9%). The prevalence of mental disorders across the age ranges of 6 to 12 years and 13 to 17 years was 5.4% and 7.9 % respectively. Males had a higher prevalence (7.1%) compared to females (4.7%). Conduct disorder was most prevalent (3.4%), followed by either type of ADHD- Attention Deficit Hyperactive Disorders (2.0%). Having a single parent (p<0.001), staying with a non-biological guardian (p<0.030), engaging in paid work (p<0.039), not attending school (p<0.019) and having teacher difficulties(p<0.028) were positively associated with a mental disorder.ConclusionThe socio-demographic factors associated with the risk of developing mental disorders may be important targets for mental health intervention programs.

Background: In sub-Saharan Africa (SSA), which experiences a disproportionately high cardiovascular disease (CVD) burden, population-based screening and prevention measures are hampered by low levels of knowledge about CVD and associated risk factors, and inaccurate perceptions of severity of risk. Methods: This protocol describes the planned processes for implementing community-driven participatory research, using a citizen science method to explore CVD risk perceptions and to develop community-specific advocacy and prevention strategies in rural and urban SSA settings. Research teams in four selected African countries will engage with and train community members living in rural and urban communities as citizen scientists to facilitate conceptualization, co-designing of research, data gathering, and co-creation of knowledge that can lead to a shared agenda to support collaborative participation in community-engaged science. The emphasis is on robust community engagement, using mobile technology to support data gathering, participatory learning, and co-creation of knowledge and disease prevention advocacy. Discussion: Contextual processes applied and lessons learned in specific settings will support redefining or disassembling boundaries in participatory science to foster effective implementation of sustainable prevention intervention programmes in Low- and Middle-income countries.