870 research outputs found

    Development of mental health indicators at the district level in Madhya Pradesh, India: mixed methods study

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    Background: Strengthening routine information systems for mental health can augment scale up of community mental health services in India and other low- and middle-income countries. Currently little routine data is available in Indian settings. This study aimed to develop a core set of indicators for monitoring mental health care in primary health care settings Methods: By using a sequential exploratory mixed methods design, key mental health indicators measuring service delivery and system performance were developed for the context of Madhya Pradesh, India. The research design involved a situation analysis, and conducting a prioritisation exercise and consultation workshops with key stakeholders. Results: This study resulted in nine key mental health indicators covering both mental health service delivery indicators and mental health system indicators for Sehore district of Madhya Pradesh. Mean indicator priority scores ranging from 4.48 to 3.78 were reported. Conclusions: This study demonstrated a phased approach to strengthen routine information systems for mental health at a primary care level in India. We recommend that similar research methods can be applied across comparable settings and these indicators can be adopted as a part of national routine information systems

    Health systems context(s) for integrating mental health into primary health care in six Emerald countries:a situation analysis

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    Abstract Background Mental, neurological and substance use disorders contribute to a significant proportion of the world\u2019s disease burden, including in low and middle income countries (LMICs). In this study, we focused on the health systems required to support integration of mental health into primary health care (PHC) in Ethiopia, India, Nepal, Nigeria, South Africa and Uganda. Methods A checklist guided by the World Health Organization Assessment Instrument for Mental Health Systems (WHO-AIMS) was developed and was used for data collection in each of the six countries participating in the Emerging mental health systems in low and middle-income countries (Emerald) research consortium. The documents reviewed were from the following domains: mental health legislation, health policies/plans and relevant country health programs. Data were analyzed using thematic content analysis. Results Three of the study countries (Ethiopia, Nepal, Nigeria, and Uganda) were working towards developing mental health legislation. South Africa and India were ahead of other countries, having enacted recent Mental Health Care Act in 2004 and 2016, respectively. Among all the 6 study countries, only Nepal, Nigeria and South Africa had a standalone mental health policy. However, other countries had related health policies where mental health was mentioned. The lack of fully fledged policies is likely to limit opportunities for resource mobilization for the mental health sector and efforts to integrate mental health into PHC. Most countries were found to be allocating inadequate budgets from the health budget for mental health, with South Africa (5%) and Nepal (0.17%) were the countries with the highest and lowest proportions of health budgets spent on mental health, respectively. Other vital resources that support integration such as human resources and health facilities for mental health services were found to be in adequate in all the study countries. Monitoring and evaluation systems to support the integration of mental health into PHC in all the study countries were also inadequate. Conclusion Integration of mental health into PHC will require addressing the resource limitations that have been identified in this study. There is a need for up to date mental health legislation and policies to engender commitment in allocating resources to mental health services

    Experience of implementing new mental health indicators within information systems in six low- and middle-income countries

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    Background Successful scale up of integrated primary mental health care requires routine monitoring of key programme performance indicators. A consensus set of mental health indicators has been proposed but evidence on their use in routine settings is lacking. Aims To assess the acceptability, feasibility, perceived costs and sustainability of implementing indicators relating to integrated mental health service coverage in six South-Asian (India, Nepal) and sub-Saharan African countries (Ethiopia, Nigeria, South Africa, Uganda). Method A qualitative study using semi-structured key informant interviews (n=128) was conducted. The ‘Performance of Routine Information Systems’ framework for assessing the performance of the implementation of new forms to measure mental health indicators served as the basis of a coding framework covering three main categories: (1) technical; (2) organisation; and (3) behavioural determinants. Results Most mental health indicators were deemed relevant and potentially useful for improving care, and therefore acceptable to end users. Exceptions were indicators on functionality, cost and severity. The simplicity of the data capturing formats contributed to the feasibility of using forms to generate data on mental health indicators. Health workers reported increasing confidence in their capacity to record the mental health data and minimal additional cost to initiate mental health reporting. However, overstretched primary care staff and the time-consuming reporting process affected perceived sustainability. Conclusion Use of the newly developed, contextually-appropriate mental health indicators in health facilities providing primary care services was seen largely to be feasible in the six Emerald countries, mainly because of the simplicity of the forms and continued support in the design and implementation stage. However, approaches to implementation of new forms generating mental health indicators need to be customised to the specific health system context of different countries. Further work is needed to identify ways to utilise mental health data to monitor and improve the quality of mental health services

    Integrated care for people with long-term mental and physical conditions in low- and middle-income countries: narrative review

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    Integrated care is defined as health services that are managed and delivered so that people receive a continuum of health promotion, disease prevention, diagnosis, treatment, disease-management, rehabilitation and palliative care services, coordinated across the different levels and sites of care within and beyond the health sector and, according to their needs, throughout the life course. This narrative review paper aims to describe the most relevant concepts and models of integrated care for people with chronic (or recurring) mental illness and comorbid physical health conditions, to assess the strength of evidence base for these models in high income countries (HICs) and in low- and middle-income countries (LMICs) through a conceptual overview and a structured narrative review, and to identify opportunities to further test the feasibility and impact of such integrated care models. The results of the review are presented in terms of; (i) the rationale for integrating care for people with mental disorders into chronic care; (ii) models of integrated care; (iii) evidence of the effects of integrating care in HICs and in LMICs; (iv) the key organisational challenges in LMICs to implement integrated chronic care; and (v) practical steps to realise a vision of integrated care in the future

    Use of Feedback Data to Reduce Surgical Site Infections and Optimize Antibiotic Use in Surgery: A Systematic Scoping Review.

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    OBJECTIVE: Surgical site infection (SSI) prevention remains significant, particularly in the era of antimicrobial resistance. Feedback on practices and outcomes is known to be key to reduce SSI rates and optimize antibiotic usage. However, the optimal method, format and frequency of feedback for surgical teams remains unclear. The objective of the study is to understand how data from surveillance and audit are fed back in routine surgical practice. METHODS: A systematic scoping review was conducted, using well-established implementation science frameworks to code the data. Two electronic health-oriented databases (MEDLINE, EMBASE) were searched to September 2019. We included studies that assessed the use of feedback as a strategy either in the prevention and management of SSI and/or in the use of antibiotics perioperatively. RESULTS: We identified 21 studies: 17 focused on SSI rates and outcomes and 10 studies described antimicrobial stewardship for SSI (with some overlap in focus). Several interventions were reported, mostly multimodal with feedback as a component. Feedback was often provided in written format (62%), either individualized (38%) or in group (48%). Only 25% of the studies reported that feedback cascaded down to the frontline perioperative staff. In 65% of the studies, 1 to 5 implementation strategies were used while only 5% of the studies reported to have utilized more than 15 implementation strategies. Among studies reporting antibiotic usage in surgery, most (71%) discussed compliance with surgical antibiotic prophylaxis. CONCLUSIONS: Our findings highlight the need to provide feedback to all levels of perioperative care providers involved in patient care. Future research in this area should report implementation parameters in more detail

    An evaluation of the implementation of interventions to reduce postoperative infections and optimise antibiotic use across the surgical pathway in India: a mixed-methods exploratory study protocol

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    Abstract Introduction Postoperative infections represent a significant burden of disease, demanding antibiotic prescriptions, and are contributing to antimicrobial resistance. The burden of infection as a surgical complication is greater in low- and middle-income countries (LMICs). We report the protocol of a pilot study for the co-design, implementation and evaluation of two infection prevention and control (IPC) and antimicrobial stewardship (AMS) interventions across the surgical pathway in a teaching hospital in India. Methods and analysis The two interventions developed following in-depth qualitative enquiry are (i) surveillance and feedback of postoperative infections to optimise the use of antibiotics in two surgical departments (gastrointestinal and cardiovascular and thoracic surgery) and (ii) raising awareness amongst patients, carers and members of public about IPC and AMS. We will conduct a prospective study, formatively evaluating the implementation process of delivering the two co-designed interventions using implementation science frameworks. The study will systematically assess the context of intervention delivery, so that implementation support for the interventions may be adapted to the needs of stakeholders throughout the study. Analysis of implementation logs and interviews with stakeholders upon completion of the implementation period, will offer insights into the perceived acceptability, appropriateness, feasibility and sustainability of the interventions and their implementation support. Implementation costs will be captured descriptively. Feasibility of clinical data collection to investigate effectiveness of interventions will also be assessed for a future larger study. Thematic framework analysis and descriptive statistics will be used to report the qualitative and quantitative data, respectively. Strengths and limitations of this study • The paired interventions have been co-designed from their inception with involvement of stakeholders at different stages in the surgical pathway. • Simultaneous evaluation of implementation and clinical outcomes will inform the development of a future larger study to enable/assess the scalability of interventions • The study offers a novel combination of implementation theory-informed, stakeholder-driven and clinically relevant evaluation, carried out in the context of a middle-income country hospital. • The project may not be applicable to every low-resource setting and surgical context due to differences in healthcare systems and cultures. However, the application of implementation science concepts may facilitate transferability and adaptation to other settings. </jats:sec
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