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The aim of this review was to rapidly synthesize the available evidence regarding the expected impacts of piped water chlorination, drainage, and sewerage on individuals living in low- and middle-income urban settings. A systematic search was conducted in bibliographic databases and library catalogs. Impact evaluations that included a comparator and one of the three interventions of interest, attempted to control for confounding and selection bias, and took place in urban settings in a low- or middle-income country were considered. Outcomes related to health, well-being, economic growth, and the bacterial content of water were considered. A total of 1,483 articles were identified, with 18 included after final screening. Most studies were case-control and took place in Brazil, the Pacific Islands, or south-western Asia. Fifteen studies considered sewerage, five considered chlorination, and two studies considered drainage with some studies considering multiple interventions. All primary outcomes were related to health. When implemented alone, the sewerage and chlorination interventions were largely successful. The evidence regarding the effects of chlorination, drainage, and sewerage interventions is limited and generally has a high risk of bias. When properly implemented, sewerage and chlorination are likely to have positive health impacts. However, when implemented poorly, all three interventions can have negative health impacts. HIGHLIGHTS Most studies focused on sewerage interventions.; Chlorination and sewerage interventions were successful in reducing disease burden.; Contamination sources included lack of improved WaSH, sources in the nearby environment, and household hygiene practices.; Infrastructure maintenance issues affected the interventions’ impacts.; Proper household hygiene practices should be included for effective interventions.;

Abstract Background Given the paradigmatic shift represented by the Sustainable Development Goals (SDGs) as compared to the Millennium Development Goals - in particular their broad and interconnected nature - a new set of health policy and systems research (HPSR) priorities are needed to inform strategies to address these interconnected goals. Objectives To identify high priority HPSR questions linked to the achievement of the Sustainable Development Goals. Methods We focused on three themes that we considered to be central to achieving the health related SDGs: (i) Protecting and promoting access to health services through systems of social protection (ii) Strengthening multisectoral collaborations for health and (iii) Developing more participatory and accountable institutions. We conducted 54 semi-structured interviews and two focus group discussions to investigate policy-maker perspectives on evidence needs. We also conducted an overview of literature reviews in each theme. Information from these sub-studies was extracted into a matrix of possible research questions and developed into three domain-specific lists of 30–36 potential priority questions. Topic experts from the global research community then refined and ranked the proposed questions through an online platform. A final webinar on each theme sought feedback on findings. Results Policy-makers continue to demand HPSR for many well-established issues such as health financing, human resources for health, and service delivery. In terms of service delivery, policy-makers wanted to know how best to strengthen primary health care and community-based systems. In the themes of social protection and multisectoral collaboration, prioritized questions had a strong emphasis on issues of practical implementation. For participatory and accountable institutions, the two priority questions focused on political factors affecting the adoption of accountability measures, as well as health worker reactions to such measures. Conclusions To achieve the SDGs, there is a continuing need for research in some already well established areas of HPSR as well as key areas highlighted by decision-makers. Identifying appropriate conceptual frameworks as well as typologies of examples may be a prerequisite for answering some of the substantive policymaker questions. In addition, implementation research engaging non-traditional stakeholders outside of the health sector will be critical.

As health systems practitioners and researchers increasingly turn towards systems thinking approaches and work on building interorganisational networks, they have demonstrated increasing interest in network analysis for investigating relationships and interactions between system actors, both at the individual and organisational levels. Despite the potential of network-based approaches to improve health system efficiency, effectiveness and responsiveness, both the theoretical and practical guidance on designing and evaluating network-building strategies is underdeveloped within the field. While there are multiple tools and resources to help users collect, manage and analyse network data, there is much less guidance on the practical applications of this information. One apparent gap is the limited application of longitudinal organisational network analysis, in which data are collected from the same organisational actors repeatedly over multiple time points. This yields insights into the dynamic nature of networks, including how the network structure and interactions change over time. Given that networks are rarely static, the addition of the time dimension has the potential to substantially enhance the analytical value of network analysis and contribute to more nuanced guidance for interested practitioners and policymakers. In this article, the authors draw on their experiences in conducting longitudinal network analysis of interorganisational relationships in the USA and India to comment on the opportunities and challenges of the methodology within the field of health systems research. We also provide suggestions as to how some of these challenges may be addressed or mitigated.

Objectives Multisectoral collaboration (MSC) is widely recognised as a critical aspect of policies, programmes and interventions addressing complex public health issues, yet it is undertheorised and difficult to measure. Limited understanding of the intermediate steps linking MSC formation to intended health outcomes leaves a substantial knowledge gap about the types of strategies that may be most effective in making such collaborations successful. This paper, which reports the quantitative strand of a broader mixed-methods study, takes a step toward filling in this ‘missing middle’ of MSC evaluation by developing and testing the FLW-MSC scale, an instrument to assess collaboration among the frontline workers of one of India’s largest and most widely known MSCs: the Integrated Child Development Services (ICDS) scheme.Design This study involved development, field-testing and psychometric testing of an 18-item, Likert-type frontline worker collaboration scale, including internal consistency, construct validity and criterion validity.Setting Village-level primary healthcare in rural Uttar Pradesh, India.Participants 281 anganwadi workers, 266 accredited social health activists and 124 auxiliary nurse midwives selected based on random sampling of anganwadi catchment areas from 346 gram panchayats (GPs), including 173 intervention GPs and 173 pair-matched control GPs from a parent evaluation study.Results Results support the scale’s internal consistency (ordinal α=0.92–0.95), construct validity (reasonable exploratory factor analysis model fit for five of the six dyadic relationships Tucker-Lewis Index=0.84–0.88; Root Mean Squared Error of Approximation=0.09–0.11), and criterion validity (regression of collaboration score on an information-sharing indicator β=3.528; p=0.006).Conclusions The scale may be useful for ICDS managers to detect and address poor collaboration as the Indian government redoubles its efforts to strengthen and monitor MSC, or ‘convergence’, with important implications for the critical priority of child development. Further, the FLW-MSC scale may be adapted for measuring frontline worker collaboration across sectors in many other scenarios and low/middle-income country contexts.

BackgroundAs population health and well-being are influenced by multiple factors that cut across sectoral boundaries, an intersectoral approach that acknowledges and leverages the multiple determinants, actors and sectors at play is increasingly seen as critical for achieving meaningful and lasting improvements. In this study, we utilize social network analysis (SNA) to characterize the intersectoral collaboration between the organizations working on maternal & child health (MCH) and water & sanitation (WASH) before and immediately after the implementation of HCL Foundation (HCLF)-funded HCL Samuday Project (2015-2017) in a rural block of Uttar Pradesh state, India. While SNA has been used to examine public health issues, few have used it monitor stakeholder relationships, intervene, improve and facilitate project implementation involving intersectoral partnerships, particularly in the context of a low-and middle-income countries.MethodAn organization-level SNA was conducted with 31 key informants from 24 organizations working on MCH and/or WASH in Kachhauna, Uttar Pradesh, India. Data were collected using face-to-face, semi-structured interviews between June and September 2017. Density, centrality and homophily were calculated to describe the network and a qualitative analysis was also conducted to identify the strengths and weaknesses of collaboration between organizations working on MCH and WASH.ResultsOverall, our findings showed that the network of organizations working on MCH and WASH in Kachhauna grew in number since the implementation of Samuday. HCLF rapidly achieved centrality, thus positioning the organization to serve as a gatekeeper of information and enabling it to play a coordinator role within the network. Direct collaboration between other organizations working on MCH and WASH was low at both time points. Interviews with key informants indicated widespread interest in increasing interorganizational interactions and engagement throughout the network.ConclusionThis study demonstrates the feasibility and practical application of SNA for projects like Samuday that involve intersectoral collaboration. It also provides lessons about the use of SNA with organizations as the unit of analysis and in the context of rural India, including challenges, practical considerations, and limitations.

Kumanan Rasanathan and colleagues argue that the potential of multisectoral collaboration for improving health remains untapped in many low- and middle-income countries.