Involvement of community health workers (CHWs) within task-sharing to bridge the mental health treatment gap has been proven to be efficacious in randomized controlled trials. The impact of mental health programs based on task-sharing paradigm greatly depends on the performance of CHWs which, in-turn, is influenced by their readiness for change. However, there is dearth of literature assessing the role of readiness for change as an important predicator of CHW performance. The aim of this study is to examine the applicability of the readiness for change model and investigate its cultural and contextual nuances among Accredited Social Health Activists (ASHAs), a cadre of CHWs in India, to understand their engagement in mental health task-sharing. We conducted in-depth, semi-structured interviews with a purposive sample of n?=?12 key informants including ASHAs and other healthcare professionals in Sehore district, India. The interview guide consisted of open-ended questions based on the readiness for change factors including ASHAs’ attitudes towards their role in mental health care, perception of capability to implement mental health task-sharing, of support from the public health system, etc. Framework analysis with a combined inductive-deductive approach was employed to code the data and generate themes. Participants endorsed three readiness for change themes relevant to task-sharing among ASHAs including change valence or value ascribed to task-sharing, change-efficacy or the perceived ability to implement task-sharing, and job valence or value ascribed to their regular job role. In addition, they provided insights into the culturally and contextually salient aspects of these factors. Themes of personal empowerment, gaining respect and trust from community, professional duty, relationship with supervisors, and lack of resources availability were majorly highlighted. This is the first study to qualitatively investigate the applicability of the readiness for change model and its culture- and context-specific nuances among a cadre of non-specialist health workers in India. Our findings posit that implementation science models should strongly consider the culture and context within which they are being applied to enhance fit and relevance. Further, our results should be taken into consideration to adapt and validate measurement tools and build readiness for change in this population.
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Delirium is one of the most commonly occurring postoperative complications in older adults. It occurs due to the vulnerability of cerebral functioning to pathophysiological stressors. Identification of those at increased risk of developing delirium early in the surgical pathway provides an opportunity for modification of predisposing and precipitating risk factors and effective shared decision-making. No single delirium prediction tool is used widely in surgical settings. Multi-component interventions to prevent delirium involve structured risk factor modification supported by geriatrician input; these are clinically efficacious and cost effective. Barriers to the widespread implementation of such complex interventions exist, resulting in an ‘implementation gap’. There is a lack of evidence for pharmacological prophylaxis for the prevention of delirium. Current evidence suggests that avoidance of peri-operative benzodiazepines, careful titration of anaesthetic depth guided by processed electroencephalogram monitoring and treatment of pain are the most effective strategies to minimise the risk of delirium. Addressing postoperative delirium requires a collaborative, whole pathway approach, beginning with the early identification of those patients who are at risk. The research agenda should continue to examine the potential for pharmacological prophylaxis to prevent delirium while also addressing how successful models of delirium prevention can be translated from one setting to another, underpinned by implementation science methodology. 相似文献
PurposeUnderstanding the value of genetic screening and testing for monogenic disorders requires high-quality, methodologically robust economic evaluations. This systematic review sought to assess the methodological quality among such studies and examined opportunities for improvement.MethodsWe searched PubMed, Cochrane, Embase, and Web of Science for economic evaluations of genetic screening/testing (2013-2019). Methodological rigor and adherence to best practices were systematically assessed using the British Medical Journal checklist.ResultsAcross the 47 identified studies, there were substantial variations in modeling approaches, reporting detail, and sophistication. Models ranged from simple decision trees to individual-level microsimulations that compared between 2 and >20 alternative interventions. Many studies failed to report sufficient detail to enable replication or did not justify modeling assumptions, especially for costing methods and utility values. Meta-analyses, systematic reviews, or calibration were rarely used to derive parameter estimates. Nearly all studies conducted some sensitivity analysis, and more sophisticated studies implemented probabilistic sensitivity/uncertainty analysis, threshold analysis, and value of information analysis.ConclusionWe describe a heterogeneous body of work and present recommendations and exemplar studies across the methodological domains of (1) perspective, scope, and parameter selection; (2) use of uncertainty/sensitivity analyses; and (3) reporting transparency for improvement in the economic evaluation of genetic screening/testing. 相似文献
