522 research outputs found

    The content and delivery of psychological interventions for perinatal depression by non-specialist health workers in low and middle income countries: a systematic review.

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    Psychological interventions delivered by non-specialist health workers are effective for the treatment of perinatal depression in low- and middle-income countries. In this systematic review, we describe the content and delivery of such interventions. Nine studies were identified. The interventions shared a number of key features, such as delivery provided within the context of routine maternal and child health care beginning in the antenatal period and extending postnatally; focus of the intervention beyond the mother to include the child and involving other family members; and attention to social problems and a focus on empowerment of women. All the interventions were adapted for contextual and cultural relevance; for example, in domains of language, metaphors and content. Although the competence and quality of non-specialist health workers delivered interventions was expected to be achieved through structured training and ongoing supervision, empirical evaluations of these were scarce. Scalability of these interventions also remains a challenge and needs further attention

    Job stress among community health workers: a multi-method study from Pakistan

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    <p>Abstract</p> <p>Background</p> <p>In low income countries, the task of providing primary health care is often the responsibility of community health workers. In Pakistan, community workers called Lady Health Workers (LHW) deliver basic health care at the doorstep in the rural areas and urban slums. Evaluations show that it is a successful programme but point out inconsistencies in the quality of service provided. In order achieve this, it would be important to obtain the workers' viewpoint on their job-description, the problems they face and the levels of stress they encounter.</p> <p>Methods</p> <p>We conducted a multi-method study to investigate the aforementioned issues. All LHWs from one typical rural sub-district in Rawalpindi were surveyed. Focus group discussions with a sub-set of these workers were also conducted.</p> <p>Results</p> <p>About a quarter of the LHWs were found to have significant occupational stress. Factors associated with stress included having low socio-economic status and having to travel long distances for work. Inconsistent medical supplies, inadequate stipends, lack of career structure and not being equipped to communicate effectively with families were the main factors for job dissatisfaction among these workers.</p> <p>Recommendations</p> <p>Improvement in remuneration, better administration of supplies and a structured career path should be ensured for better performance of community health workers. In addition, communication skills learning should be an essential part of their training programme.</p

    Barefoot therapists: barriers and facilitators to delivering maternal mental health care through peer volunteers in Pakistan: a qualitative study.

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    BACKGROUND: Perinatal depression is a public health problem in low and middle income countries. Although effective psychosocial interventions exist, a major limitation to their scale up is the scarcity of mental health professionals. The aim of this study was to explore the facilitators and barriers to the acceptability of peer volunteers (PVs)-volunteer lay women from the community with shared socio-demographic and life experiences with the target population-as delivery agents of a psychosocial intervention for perinatal depression in a rural area of Pakistan. METHODS: This qualitative study was embedded in the pilot phase of a larger peer-delivered mental health programme. Forty nine participants were included: depressed mothers (n = 21), PVs (n = 8), primary health care staff (n = 5), husbands (n = 5) and mothers-in-law (n = 10). Data were collected through in-depth interviews and focus groups and analysed using the Framework Analysis approach. RESULTS: The PVs were accepted as delivery agents by all key stakeholders. Facilitators included the PVs' personal attributes such as being local, trustworthy, empathetic, and having similar experiences of motherhood. The perceived usefulness and cultural appropriateness of the intervention and linkages with the primary health care (PHC) system was vital to their legitimacy and credibility. The PVs' motivation was important, and factors influencing this were: appropriate selection; effective training and supervision; community endorsement of their role, and appropriate incentivisation. Barriers included women's lack of autonomy, certain cultural beliefs, stigma associated with depression, lack of some mothers' engagement and resistance from some families. CONCLUSION: PVs are a potential human resource for the delivery of a psychosocial intervention for perinatal depression in this rural area of Pakistan. The use of such delivery agents could be considered for other under-resourced settings globally

    World Health Organization "School Mental Health Manual"-based training for school teachers in Urban Lahore, Pakistan: study protocol for a randomized controlled trial

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    Abstract Background The teacher’s role in school mental health initiatives cannot be overemphasized. Despite global evidence of educational interventions in improving teachers’ knowledge and attitudes regarding mental health, this area remains under researched in Pakistan. This paper presents a study protocol of a pilot randomized controlled trial to examine the effectiveness of a teacher training intervention for improving mental health literacy and self-efficacy among school teachers in urban Lahore, Pakistan. Methods The randomized controlled trial will follow the CONSORT guidelines. Participants will be allocated to the Intervention group (receiving the World Health Organization, Eastern Mediterranean Region (WHO-EMRO) School Mental Health Manual-based intervention in three 6-h, face-to-face sessions) or a waitlist control group (not receiving training during the study period). Participants will be teachers of private schools with similar broad demographic characteristics in an inner city area of Lahore. The primary outcome measures for the trial is teachers’ mental health literacy. It will be assessed by using the previously applied (during WHO training of Master Trainers) self-administered questionnaire in both groups pre and post training and at 3 months’ follow-up. Secondary outcomes include: for teachers: Teachers’ self-efficacy (assessed by the Teachers’ Sense of Self Efficacy Scale (TSES) short form.); for students (11–16 years): socio-emotional skills and psychological problems measured by the Strengths and Difficulties Questionnaire (assessed at baseline and 3 months post intervention); for schools: the WHO School Psychosocial Profile Questionnaire (baseline and 3 months post intervention). Discussion Given the high prevalence of child mental health problems, stigma and lack of services, it is important to consider alternate avenues for promoting positive mental health among youth. This pilot study should establish the effectiveness of the WHO-EMRO School Mental Health Manual-based Intervention improving teacher’s mental health literacy and helping them to learn practical steps that can be implemented at low cost in school settings. It will also provide information regarding intervention implementation and sustainability. Trial registration ClinicalTrials.gov, ID: NCT02937714. Registered on 18 October 2016

    Association mapping from sequencing reads using k-mers

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    Genome wide association studies (GWAS) rely on microarrays, or more recently mapping of sequencing reads, to genotype individuals. The reliance on prior sequencing of a reference genome limits the scope of association studies, and also precludes mapping associations outside of the reference. We present an alignment free method for association studies of categorical phenotypes based on counting k-mers in whole-genome sequencing reads, testing for associations directly between k-mers and the trait of interest, and local assembly of the statistically significant k-mers to identify sequence differences. An analysis of the 1000 genomes data show that sequences identified by our method largely agree with results obtained using the standard approach. However, unlike standard GWAS, our method identifies associations with structural variations and sites not present in the reference genome. We also demonstrate that population stratification can be inferred from k-mers. Finally, application to an E.coli dataset on ampicillin resistance validates the approach

    Data for Thinking Healthy Programme India trial (THPP-India)

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    An anonymised dataset of 280 women (one row per woman) who gave informed consent to participate in an individually-randomised, parallel, superiority, controlled trial in Goa, India in 2014-2016. The intervention was an adapted version of the Thinking Healthy Programme, delivered by peers; the control was enhanced usual care. Further details are available in the published protocol and paper. The dataset contains records of variables on stratified randomisation, socio-demographic information, depression and related outcomes, and therapy adherence. Visits occurred at baseline, and 3 and 6 months post-natal

    Data for Thinking Healthy Programme Pakistan trial (THPP-Pakistan)

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    An anonymised dataset of 570 women (one row per woman) who gave informed consent to participate in a cluster randomised, parallel, superiority, controlled trial in Rawalpindi, Pakistan in 2014-2017. The intervention was an adapted version of the Thinking Healthy Programme, delivered by peers; the control was enhanced usual care. Further details are available in the published protocol and paper. The dataset contains records of variables on stratified randomisation and clusters, socio-demographic information, depression and related outcomes, and therapy adherence. Visits occurred at baseline, and 3 and 6 months post-natal

    Bioinformatics: A Way Forward to Explore “Plant Omics”

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    Bioinformatics, a computer-assisted science aiming at managing a huge volume of genomic data, is an emerging discipline that combines the power of computers, mathematical algorithms, and statistical concepts to solve multiple genetic/biological puzzles. This science has progressed parallel to the evolution of genome-sequencing tools, for example, the next-generation sequencing technologies, that resulted in arranging and analyzing the genome-sequencing information of large genomes. Synergism of “plant omics” and bioinformatics set a firm foundation for deducing ancestral karyotype of multiple plant families, predicting genes, etc. Second, the huge genomic data can be assembled to acquire maximum information from a voluminous “omics” data. The science of bioinformatics is handicapped due to lack of appropriate computational procedures in assembling sequencing reads of the homologs occurring in complex genomes like cotton (2n = 4x = 52), wheat (2n = 6x = 42), etc., and shortage of multidisciplinary-oriented trained manpower. In addition, the rapid expansion of sequencing data restricts the potential of acquisitioning, storing, distributing, and analyzing the genomic information. In future, inventions of high-tech computational tools and skills together with improved biological expertise would provide better insight into the genomes, and this information would be helpful in sustaining crop productivities on this planet
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