Ecological countermeasures to prevent pathogen spillover and subsequent pandemics.

Substantial global attention is focused on how to reduce the risk of future pandemics. Reducing this risk requires investment in prevention, preparedness, and response. Although preparedness and response have received significant focus, prevention, especially the prevention of zoonotic spillover, remains largely absent from global conversations. This oversight is due in part to the lack of a clear definition of prevention and lack of guidance on how to achieve it. To address this gap, we elucidate the mechanisms linking environmental change and zoonotic spillover using spillover of viruses from bats as a case study. We identify ecological interventions that can disrupt these spillover mechanisms and propose policy frameworks for their implementation. Recognizing that pandemics originate in ecological systems, we advocate for integrating ecological approaches alongside biomedical approaches in a comprehensive and balanced pandemic prevention strategy.

Social Determinants of Child Undernutrition in Adivasi Population in Northern Kerala: A Study Using Syndemic Framework.

OBJECTIVES: To understand the complex interaction of structural inequalities, co-occurring health conditions, and child undernutrition among the Adivasi population in North Kerala, India. METHODS: A mixed-method approach was employed in this study, which combined a cross-sectional survey and a case study design. A multistage cluster sampling method was used to select 167 children aged 24 to 60 mo from the study population. The mothers of these children were interviewed using a structured questionnaire to assess individual, parental, and household-level factors associated with child undernutrition. Two Paniya settlements, one with a high prevalence of child undernutrition (HPS) and the other with a low prevalence (LPS), were chosen as the primary units of the case study. RESULTS: The study found that the absence of a kitchen garden with fruits and vegetables [adjusted odds ratio (AOR) 2.85; 95% confidence interval (CI): 1.04-7.81] and a history of cough and fever (AOR 2.93; 95% CI: 1.24-6.93) were both associated with a higher risk of undernutrition in children. The case studies revealed that Adivasi children are undernourished due to a complex set of factors that persist throughout their lives, including unequal access to social capital, healthcare, and food security, as well as differences in hygiene practices due to the lack of access to clean water and sanitation. CONCLUSIONS: The findings underscore the need for social interventions to complement the current focus almost entirely on food supplementation programmes. Equitable action on Adivasi child malnutrition requires urgent policy and programmatic attention to social inequalities and access to basic amenities in Adivasi areas.

The role of social vulnerability in improving interventions for neglected zoonotic diseases: The example of Kyasanur Forest Disease in India.

Forest-based communities manage many risks to health and socio-economic welfare including the increasing threat of emerging zoonoses that are expected to disproportionately affect poor and marginalised groups, and further impair their precarious livelihoods, particularly in Low-and-Middle Income (LMIC) settings. Yet, there is a relative dearth of empirical research on the vulnerability and adaptation pathways of poor and marginalised groups facing emerging zoonoses. Drawing on a survey of 229 households and a series of key-informant interviews in the Western Ghats, we examine the factors affecting vulnerability of smallholder and tribal households to Kyasanur Forest Disease (KFD), an often-fatal tick-borne viral haemorrhagic fever endemic in south India. Specifically, we investigate how different socio-demographic and institutional factors interact to shape KFD vulnerability and the strategies employed by households to adapt to disease consequences. Although surveyed households generally perceived KFD as an important health issue in the study region, there was variability in concern about contracting the disease. Overall results showed that poor access to land (AOR = 0.373, 95% CI: 0.152-0.916), being at or below the poverty line (AOR = 0.253, 95% CI: 0.094-0.685) and being headed by an older person (AOR = 1.038, 95% CI: 1.006-1.071) were all significant determinants of perceived KFD vulnerability. Furthermore, KFD vulnerability is also modulated by important extra-household factors including proximity to private hospitals (AOR = 3.281, 95% CI: 1.220-8.820), main roads (AOR = 2.144, 95% CI: 1.215-3.783) and study location (AOR = 0.226, 95% CI: 0.690-0.743). Our findings highlight how homogenous characterisation of smallholder and tribal communities and the 'techno-oriented' approach of existing interventions may further marginalise the most vulnerable and exacerbate existing inequalities. These findings are important for designing context-specific and appropriate health interventions (including the prioritisation of awareness raising, knowledge networks, livelihood diversification) that enhances the resilience of at-risk social groups within the KFD context. More broadly, our findings highlight how a focus on social vulnerability can help national and international health planners improve health interventions and prioritise among diseases with respect to neglected endemic zoonoses.

Overcoming structural barriers to sharing power with communities in global health research priority-setting: Lessons from the Participation for Local Action project in Karnataka, India.

Community engagement is gaining prominence in global health research. But communities rarely have a say in the agendas or conduct of the very health research projects that aim to help them. This paper provides new evidence on how to share power in priority-setting in ways that seek to overcome structural constraints created by the funding environment. The five strategies were identified through case study research on the Participation for Local Action project in Karnataka, India. That project was carried out by researchers in partnership with the Zilla Budakattu Girijana Abhivrudhhi Sangha, an indigenous community development organisation representing the Solega people. The paper describes each identified strategy for sharing power in priority-setting, followed by a report of the pitfalls and challenges that arose when implementing it. Thus, the study also demonstrates that even where actions and strategies are used to address power imbalances, pitfalls will arise that need to be navigated. Given those challenges, considerations to reflect upon before employing the identified strategies are suggested. Ultimately, the paper aims to communicate strategies for sharing power during and after priority-setting and lessons on how to implement them effectively that can be used by global health researchers in the current funding environment.

How is inclusiveness in health systems research priority-setting affected when community organizations lead the process?

Community engagement is gaining prominence in health research. But communities rarely have a say in the agendas or conduct of the very health research projects that aim to help them. One way thought to achieve greater inclusion for communities throughout health research projects, including during priority-setting, is for researchers to partner with community organizations (COs). This paper provides initial empirical evidence as to the complexities such partnerships bring to priority-setting practice. Case study research was undertaken on a three-stage CO-led priority-setting process for health systems research. The CO was the Zilla Budakattu Girijana Abhivrudhhi Sangha, a district-level community development organization representing the Soliga people in Karnataka, India. Data on the priority-setting process were collected in 2018 and 2019 through in-depth interviews with researchers, Sangha leaders and field investigators from the Soliga community who collected data as part of the priority-setting process. Direct observation and document collection were also performed, and data from all three sources were thematically analysed. The case study demonstrates that, when COs lead health research priority-setting, their strengths and weaknesses in terms of representation and voice will affect inclusion at each stage of the priority-setting process. CO strengths can deepen inclusion by the CO and its wider community. CO weaknesses can create limitations for inclusion if not mitigated, exacerbating or reinforcing the very hierarchies that impede the achievement of improved health outcomes, e.g. exclusion of women in decision-making processes related to their health. Based on these findings, recommendations are made to support the achievement of inclusive CO-led health research priority-setting processes.

Co-production of knowledge as part of a OneHealth approach to better control zoonotic diseases.

There is increased global and national attention on the need for effective strategies to control zoonotic diseases. Quick, effective action is, however, hampered by poor evidence-bases and limited coordination between stakeholders from relevant sectors such as public and animal health, wildlife and forestry sectors at different scales, who may not usually work together. The OneHealth approach recognises the value of cross-sectoral evaluation of human, animal and environmental health questions in an integrated, holistic and transdisciplinary manner to reduce disease impacts and/or mitigate risks. Co-production of knowledge is also widely advocated to improve the quality and acceptability of decision-making across sectors and may be particularly important when it comes to zoonoses. This paper brings together OneHealth and knowledge co-production and reflects on lessons learned for future OneHealth co-production processes by describing a process implemented to understand spill-over and identify disease control and mitigation strategies for a zoonotic disease in Southern India (Kyasanur Forest Disease). The co-production process aimed to develop a joint decision-support tool with stakeholders, and we complemented our approach with a simple retrospective theory of change on researcher expectations of the system-level outcomes of the co-production process. Our results highlight that while co-production in OneHealth is a difficult and resource intensive process, requiring regular iterative adjustments and flexibility, the beneficial outcomes justify its adoption. A key future aim should be to improve and evaluate the degree of inter-sectoral collaboration required to achieve the aims of OneHealth. We conclude by providing guidelines based on our experience to help funders and decision-makers support future co-production processes.

Improving access to medicines for non-communicable diseases in rural primary care: results from a quasi-randomized cluster trial in a district in South India.

BACKGROUND: A large proportion of non-communicable diseases (NCDs) are treatable within primary health care (PHC) settings in a cost-effective manner. However, the utilization of PHCs for NCD care is comparatively low in India. The Access-to-Medicines (ATM) study examined whether (and how) interventions aimed at health service optimization alone or combined with community platform strengthening improve access to medicines at the primary health care level within the context of a local health system. METHOD: A quasi-randomized cluster trial was used to assess the effectiveness of the intervention (18 months) implemented across 39 rural PHCs (clusters) of three sub-districts of Tumkur in southern India. The intervention was allocated randomly in a 1:1:1 sequence across PHCs and consisted of three arms: Arm A with a package of interventions aimed at health service delivery optimization; B for strengthening community platforms in addition to A; and the control arm. Group allocation was not blinded to providers and those who assessed outcomes. A household survey was used to understand health-seeking behaviour, access and out-of-pocket expenditure (OOP) on key anti-diabetic and anti-hypertension medicines among patients; facility surveys were used to assess the availability of medicines at PHCs. Primary outcomes of the study are the mean number of days of availability of antidiabetic and antihypertensive medicines at PHCs, the mean number of patients obtaining medicines from PHC and OOP expenses. RESULT: The difference-in-difference estimate shows a statistically insignificant increase of 31.5 and 11.9 in mean days for diabetes and hypertension medicines availability respectively in the study arm A PHCs beyond the increase in the control arm. We further found that there was a statistically insignificant increase of 2.2 and 3.8 percentage points in the mean proportion of patients obtaining medicines from PHC in arm A and arm B respectively, beyond the increase in the control arm. CONCLUSION: There were improvements in NCD medicine availability across PHCs, the number of patients accessing PHCs and reduction in OOP expenditure among patients, across the study arms as compared to the control arm; however, these differences were not statistically significant. TRIAL REGISTRATION: Trial registration number CTRI/2015/03/005640 . This trial was registered on 17/03/2015 in the Clinical Trial Registry of India (CTRI) after PHCs were enrolled in the study (retrospectively registered). The CTRI is the nodal agency of the Indian Council of Medical Research for registration of all clinical, experimental, field intervention and observation studies.

An intersectional analysis of the composite index of anthropometric failures in India.

BACKGROUND: Nutritional inequality in India has been estimated typically using stunting, wasting and underweight separately which hide the overall magnitude and severity of undernutrition. We used the Composite Index of Anthropometric Failure (CIAF) that combines all three forms of anthropometric failures to assess the severity of undernutrition and identify the most vulnerable social groups and geographical hotspots. METHOD: CIAF was constructed using child anthropometric data from the fourth round of the National Family Health Survey (NFHS-4, 2015-16). We considered 24 intersecting sub-groups based on intersections across four main axes of inequality i.e., caste [Scheduled Tribe (ST), Scheduled Caste (SC) and Other], economic position (poor and non-poor), place of residence (rural and urban) and gender (male and female) (eg. ST-Poor-Rural-Female). Cross-tabulation and logistic regression were done to assess the odds of CIAF among intersecting groups and to identify the most vulnerable sub-groups. Concentration curve was plotted to visualise economic position inequality in child undernutrition across caste categories. Choropleth maps were constructed and descriptive analysis of the district-level prevalence of CIAF was performed to identify the geographic clustering of undernutrition. RESULTS: Overall 55.32% of children were undernourished by CIAF and 6.62% of children have simultaneous three anthropometric failure. In sub-group analysis, children from ST and SC caste have a higher risk of undernutrition irrespective of other axis of inequality. Compared with CIAF, economic position inequality was amplified for simultaneous-three-failures among all caste categories. Economic position inequalities within caste are more for other caste and SC categories than with ST. Economic position, caste and gender based inequality in all three failures is more consistent in rural areas than with urban areas. Based on the analysis of the high prevalence in the co-occurrence of two or three failures, 111 districts from 12 of 29 states in India were identified across four geographic clusters. CONCLUSIONS: The study shows social and eco-geographical clustering of multi-dimensional anthropometric failures and indicates the need for focused nutritional interventions among SC and ST community in general and ST children from the poor households. Furthermore, governance interventions that target entire regions across districts and states combined with decentralised planning are needed.

Multilevel governance framework on grievance redressal for patient rights violations in India.

The notion of patient rights encompasses the obligations of the state and healthcare providers to respect the dignity, autonomy and equality of care-seeking individuals in healthcare processes. Functional patient grievance redressal systems are key to ensuring that the rights of individuals seeking healthcare are protected. We critically examined the published literature from high-income and upper-middle-income countries to establish an analytical framework on grievance redressal for patient rights violations in health facilities. We then used lawsuits on patient rights violations from the Supreme Court of India to analyse the relevance of the developed framework to the Indian context. With market perspectives pervading the health sector, there is an increasing trend of adopting a consumerist approach to protecting patient rights. In this line, avenues for grievance redressal for patient rights violations are gaining traction. Some of the methods and instruments for patient rights implementation include charters, ombudsmen, tribunals, health professional councils, separating rules for redressal and professional liability in patient rights violations, blame-free reporting systems, direct community monitoring and the court system. The grievance redressal mechanisms for patient rights violations in health facilities showcase multilevel governance arrangements with overlapping decision-making units at the national and subnational levels. The privileged position of medical professionals in multilevel governance arrangements for grievance redressal puts care-seeking individuals at a disadvantaged position during dispute resolution processes. Inclusion of external structures in health services and the healthcare profession and laypersons in the grievance redressal processes is heavily contested. Normatively speaking, a patient grievance redressal system should be accessible, impartial and independent in its function, possess the required competence, have adequate authority, seek continuous quality improvement, offer feedback to the health system and be comprehensive and integrated within the larger healthcare regulatory architecture.

Reviewing the ecological evidence base for management of emerging tropical zoonoses: Kyasanur Forest Disease in India as a case study.

Zoonoses disproportionately affect tropical communities and are associated with human modification and use of ecosystems. Effective management is hampered by poor ecological understanding of disease transmission and often focuses on human vaccination or treatment. Better ecological understanding of multi-vector and multi-host transmission, social and environmental factors altering human exposure, might enable a broader suite of management options. Options may include "ecological interventions" that target vectors or hosts and require good knowledge of underlying transmission processes, which may be more effective, economical, and long lasting than conventional approaches. New frameworks identify the hierarchical series of barriers that a pathogen needs to overcome before human spillover occurs and demonstrate how ecological interventions may strengthen these barriers and complement human-focused disease control. We extend these frameworks for vector-borne zoonoses, focusing on Kyasanur Forest Disease Virus (KFDV), a tick-borne, neglected zoonosis affecting poor forest communities in India, involving complex communities of tick and host species. We identify the hierarchical barriers to pathogen transmission targeted by existing management. We show that existing interventions mainly focus on human barriers (via personal protection and vaccination) or at barriers relating to Kyasanur Forest Disease (KFD) vectors (tick control on cattle and at the sites of host (monkey) deaths). We review the validity of existing management guidance for KFD through literature review and interviews with disease managers. Efficacy of interventions was difficult to quantify due to poor empirical understanding of KFDV-vector-host ecology, particularly the role of cattle and monkeys in the disease transmission cycle. Cattle are hypothesised to amplify tick populations. Monkeys may act as sentinels of human infection or are hypothesised to act as amplifying hosts for KFDV, but the spatial scale of risk arising from ticks infected via monkeys versus small mammal reservoirs is unclear. We identified 19 urgent research priorities for refinement of current management strategies or development of ecological interventions targeting vectors and host barriers to prevent disease spillover in the future.

'None of my ancestors ever discussed this disease before!' How disease information shapes adaptive capacity of marginalised rural populations in India.

Smallholder farmer and tribal communities are often characterised as marginalised and highly vulnerable to emerging zoonotic diseases due to their relatively poor access to healthcare, worse-off health outcomes, proximity to sources of disease risks, and their social and livelihood organisation. Yet, access to relevant and timely disease information that could strengthen their adaptive capacity remain challenging and poorly characterised in the empirical literature. This paper addresses this gap by exploring the role of disease information in shaping the adaptive capacity of smallholder farmer and tribal groups to Kyasanur Forest Disease (KFD), a tick-borne viral haemorrhagic fever. We carried out household surveys (n = 229) and in-depth interviews (n = 25) in two affected districts-Shimoga and Wayanad-in the Western Ghats region. Our findings suggest that, despite the generally limited awareness about KFD, access to disease information improved households' propensity to implement adaptation strategies relative to households that had no access to it. Of the variety of adaptation strategies implemented, vaccination, avoiding forest visits, wearing of protective clothing and footwear, application of dimethyl phthalate (DMP) oil and income diversification were identified by respondents as important adaptive measures during the outbreak seasons. Even so, we identified significant differences between individuals in exposure to disease information and its contribution to substantive adaptive action. Households reported several barriers to implement adaptation strategies including, lack of disease information, low efficacy of existing vaccine, distrust, religio-cultural sentiments, and livelihood concerns. We also found that informal information sharing presented a promising avenue from a health extension perspective albeit with trade-offs with potential distortion of the messages through misinformation and/or reporting bias. Altogether, our findings stress the importance of contextualising disease information and implementing interventions in a participatory way that sufficiently addresses the social determinants of health in order to bolster households' adaptive capacity to KFD and other neglected endemic zoonoses.

Examining tribal health inequalities around three forested sites in India: Results of a cross-sectional survey.

BACKGROUND: The data available for the health of Scheduled Tribes (ST) in India are often coarse-scale snapshots at district and state levels and fine-scale comparison within and across site is often not possible. In this paper, we examine the health inequalities between the ST and non-ST populations in two forested sites and compare the healthcare parameters for ST populations across three forested sites. METHODS: We conducted a cross-sectional household survey in three sites in and around three tiger reserves in Karnataka, Madhya Pradesh (MP) and Arunachal Pradesh (AP). In each site, multi-stage sampling and cluster analysis provided a representative sample of households across villages of 859 ST and non-ST households. We examined the sociodemographic and health-related information including self-reported illnesses and healthcare utilisation; from these, we explored the within-site health inequality patterns for the two sites and intersite differences among the ST households of the three sites. RESULTS: In Karnataka, the ST and non-ST differences favoured the latter with regard to socio-economic characteristics with no difference in self-reported illness/injuries or healthcare utilisation. In MP, both groups were similar with regard to socio-economic characteristics and healthcare utilisation. AP ST households reported the highest healthcare utilisation, while MP ST households reported the lowest care seeking at hospitals and relied on home networks and health workers. High tobacco consumption was noted among ST groups in all the sites. CONCLUSIONS: The ST and non-ST inequality patterns at a fine-scale were different between Karnataka and MP. The absence of health inequalities in MP indicates a uniform socio-geographical disadvantage while poor healthcare utilisation by ST people in Karnataka indicates health inequities. The ST households of AP reported the highest utilisation while those of MP reported the lowest. Programmes addressing the health inequalities of STs need to consider site-specific assessments of socio-geographical and health system factors.

What should community organisations consider when deciding to partner with researchers? A critical reflection on the Zilla Budakattu Girijana Abhivrudhhi Sangha experience in Karnataka, India.

BACKGROUND: Community organisations and community members are increasingly being involved in health research projects worldwide as part of the engagement movement. Achieving deeper forms of community engagement like partnership demands that decision-making power be shared with community partners. However, how can community partners assess if meaningful engagement and shared decision-making will be possible when approached by prospective research partners? In this paper, we explore how community organisations decide to join health research projects when approached by health researchers. METHODS: Case study research was undertaken on a health systems research project in Karnataka, India called Participation for Local Action, which was carried out by local researchers in partnership with the Zilla Budakattu Girijana Abhivrudhhi Sangha, a community development organisation. In-depth interviews were conducted with the researchers, Sangha leaders and field investigators from their community. RESULTS: Thematic analysis identified two main themes - 'context' and 'deciding to engage'. The Sangha's experience offers lessons to other community organisations that can help them when deciding to engage with researchers in terms of what features to look for in research partners and in proposed research projects, what requests to make of prospective research partners, and what sorts of outcomes or partnership agreements to accept. These lessons may be especially applicable in contexts where relationships of trust already exist between partners and where they have the skills to lead data collection and analysis. CONCLUSIONS: We hope that this guidance will help empower community organisations to select good research partners and promote more equitable partnerships between community partners and academic researchers.

Predicting disease risk areas through co-production of spatial models: The example of Kyasanur Forest Disease in India's forest landscapes.

Zoonotic diseases affect resource-poor tropical communities disproportionately, and are linked to human use and modification of ecosystems. Disentangling the socio-ecological mechanisms by which ecosystem change precipitates impacts of pathogens is critical for predicting disease risk and designing effective intervention strategies. Despite the global "One Health" initiative, predictive models for tropical zoonotic diseases often focus on narrow ranges of risk factors and are rarely scaled to intervention programs and ecosystem use. This study uses a participatory, co-production approach to address this disconnect between science, policy and implementation, by developing more informative disease models for a fatal tick-borne viral haemorrhagic disease, Kyasanur Forest Disease (KFD), that is spreading across degraded forest ecosystems in India. We integrated knowledge across disciplines to identify key risk factors and needs with actors and beneficiaries across the relevant policy sectors, to understand disease patterns and develop decision support tools. Human case locations (2014-2018) and spatial machine learning quantified the relative role of risk factors, including forest cover and loss, host densities and public health access, in driving landscape-scale disease patterns in a long-affected district (Shivamogga, Karnataka State). Models combining forest metrics, livestock densities and elevation accurately predicted spatial patterns in human KFD cases (2014-2018). Consistent with suggestions that KFD is an "ecotonal" disease, landscapes at higher risk for human KFD contained diverse forest-plantation mosaics with high coverage of moist evergreen forest and plantation, high indigenous cattle density, and low coverage of dry deciduous forest. Models predicted new hotspots of outbreaks in 2019, indicating their value for spatial targeting of intervention. Co-production was vital for: gathering outbreak data that reflected locations of exposure in the landscape; better understanding contextual socio-ecological risk factors; and tailoring the spatial grain and outputs to the scale of forest use, and public health interventions. We argue this inter-disciplinary approach to risk prediction is applicable across zoonotic diseases in tropical settings.

Preparedness for delivering non-communicable disease services in primary care: access to medicines for diabetes and hypertension in a district in south India.

INTRODUCTION: Non-communicable diseases (NCDs) have become a major public health challenge worldwide; they account for 28 million deaths per year in low-and-middle-income countries (LMICs). Like many other LMICs, India is struggling to organise quality care for a large NCD-affected population especially at the primary healthcare level. The aim of this study was to assess local health system preparedness in a south Indian primary healthcare setting for addressing diabetes and hypertension. METHODS: This paper draws on a mixed-methods research study on access to medicines conducted in Tumkur, Karnataka, India. We used quantitative data from household and health facility surveys, and qualitative data from focus group discussions and in-depth interviews with health workers and patients. We identified systemic drivers that influence utilisation of services at government primary health centres (PHCs) using thematic analysis of qualitative data and a systems framework on access to medicines to assess supply and demand side factors. RESULTS: Majority of households depend on private facilities for diabetes and hypertension care because of the lack of laboratory facilities and frequent medicine stockouts at PHCs. Financial and managerial resource allocation for NCDs and prioritisation of care and processes related to NCDs was suboptimal compared to the prominence of this agenda at global and national levels. Primary healthcare has a limited role even in the activities under the national programme that addresses diabetes and hypertension. DISCUSSION: The study finds critical gaps in the preparedness of PHCs and district health systems in organising and managing care for diabetes and hypertension. Due to the lack of continuous care organised through PHCs, patients depend on expensive and often episodic care in the private sector. There is a need to improve managerial and financial resource allocation towards diabetes and hypertension (and other NCDs) at the district level. TRIAL REGISTRATION NUMBER: CTRI/2015/03/005640; Pre-results.

Perceptions of the quality of generic medicines: implications for trust in public services within the local health system in Tumkur, India.

INTRODUCTION: Generic medicines are an important policy option to reduce out-of-pocket expenditure on medicines. However, negative perceptions of their quality affect utilisation and raise issues of confidence and trust in medicines and health services. The aim of the study was to test the quality of generic and branded medicines and explain negative perceptions towards generic medicines. METHODS: The study was part of a larger study on access to medicines. Information on various quality parameters was collected for branded medicines and branded and unbranded generic versions of the same medicines from government and private pharmacies in Karnataka in Southern India. To assess perceptions related to quality and drivers of preferred point of care (public vs private), focus group discussions were conducted with diabetes and hypertension patients, health workers and private pharmacists. The results of the quality tests were assessed and thematic analysis was conducted on the qualitative data to develop a conceptual framework to explain perceptions of medicine and care quality in the local health system. RESULTS: The generic and branded variants of the medicines tested were of comparable quality. Contrary to the quality test results, patients' and health workers' perceptions of quality were largely in favour of branded medicines. Negative perceptions of medicine quality along with other drivers contribute towards choosing more expensive medicines in the private sector. Trust in the health system emerged as an underlying central theme that explained and drove choice of medicines and providers within the local health system. CONCLUSION: Negative perceptions of generic medicines and preferential promotion of branded medicines over generics by pharmaceutical companies could influence prescriber behaviour and affect trust in healthcare provided in public services. To succeed, access to medicines programmes need to systematically invest in information on quality of medicines and develop strategies to build trust in healthcare offered in government health services.