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Expectations of survivors towards disaster nurses in Indonesia: A qualitative study.

ABSTRACT: Objective:This study aims to explore the expectations of survivors towards disaster nurses. Methods:The study used qualitative content analysis. Data were collected in 2017 through three focus group discussions with 21 survivors and in-depth interviews with three community leaders; the respondents had experienced one of the following events: a) an earthquake in Padang 2009, b) a volcanic eruption in Yogyakarta 2010, and c) flooding in Jakarta 2014. Results:Four themes represented survivors' expectations of what nurses can do in responding to a disaster, including: a) provision of direct nursing care, b) provision of information of health service access, c) provision of resources through cross-sector coordination, and d) disaster preparedness activities for the community. Conclusions:This study suggests the importance of disaster nurses having the competency to update information regarding healthcare access, particularly the utilization of health insurance and providing culturally competent care to the survivors. Disaster nurses are also expected to be able to train the community and families about preparedness-related activities. Besides, these disaster nurses should improve their competency in disaster risk reduction. More broadly, such nurses should have the ability to advocate and coordinate with the local government and other stakeholders regarding access to healthcare services and continuous rapid assessment, so that survivors receive immediate and appropriate treatment.

SUBMITTER: Susanti H

PROVIDER: S-EPMC6838808 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature

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Expectations of survivors towards disaster nurses in Indonesia: A qualitative study.

Susanti Herni H Hamid Achir Yani S AYS Mulyono Sigit S Putri Arcellia F AF Chandra Yudi A YA

International journal of nursing sciences 20190904 4

<h4>Objective</h4>This study aims to explore the expectations of survivors towards disaster nurses.<h4>Methods</h4>The study used qualitative content analysis. Data were collected in 2017 through three focus group discussions with 21 survivors and in-depth interviews with three community leaders; the respondents had experienced one of the following events: a) an earthquake in Padang 2009, b) a volcanic eruption in Yogyakarta 2010, and c) flooding in Jakarta 2014.<h4>Results</h4>Four themes repre ...[more]

PMID: 31728391

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Project description:BACKGROUND:People with chronic pain use a range of healthcare services, but they also report a high degree of dissatisfaction with treatments. One reason for dissatisfaction might be participants' expectations towards treatments. The aim of this study was to explore expectations of people with chronic pain towards participation in easily accessible pain management interventions delivered in public primary care. METHODS:A qualitative study using semi-structured individual face-to-face interviews with 21 informants. The informants were recruited among participants enrolled in a randomised controlled trial on the effect of an easily accessible self-management course for people with chronic pain. The data were analysed thematically using Systematic Text Condensation. RESULTS:Having experienced pain for a long time, there was no specific expectation of a cure or a significant alleviation of the pain. The informants' expectations mainly concerned a hope that participation could lead to a better everyday life. The informants said that hope was important as it motivated them to keep going and continue self-care activities. The hope acted as a driving force towards trying new interventions and maintaining motivation to do activities they experienced as beneficial. Both concrete aspects of the current intervention and an understanding of what interventions in general could offer contributed to the informants hope. The expectations centred about the interventions being something new, as they had not previously tried this service, an opportunity to gain and reinforce skills, to help them continue to grow as a person, to meet others in similar situations, and to access professional support in an easy manner. Participating in interventions provided by healthcare services was seen by some as an act of self-care, where they did something active to manage their health. CONCLUSIONS:Expectations towards the interventions were related to a hope for participation leading to a better everyday life. The role of hope for peoples' motivation to self-care implies that service providers should be aware of and help to maintain hope for a better everyday life. The importance of social support as part of self-care should be acknowledged when developing interventions targeting chronic pain. TRIAL REGISTRATION:ClinicalTrials.gov: NCT02531282 . Registered on August 21 2015.

Project description:IntroductionArtificial intelligence (AI) has the potential to transform clinical decision-making as we know it. Powered by sophisticated machine learning algorithms, clinical decision support systems (CDSS) can generate unprecedented amounts of predictive information about individuals' health. Yet, despite the potential of these systems to promote proactive decision-making and improve health outcomes, their utility and impact remain poorly understood due to their still rare application in clinical practice. Taking the example of AI-powered CDSS in stroke medicine as a case in point, this paper provides a nuanced account of stroke survivors', family members', and healthcare professionals' expectations and attitudes towards medical AI.MethodsWe followed a qualitative research design informed by the sociology of expectations, which recognizes the generative role of individuals' expectations in shaping scientific and technological change. Semi-structured interviews were conducted with stroke survivors, family members, and healthcare professionals specialized in stroke based in Germany and Switzerland. Data was analyzed using a combination of inductive and deductive thematic analysis.ResultsBased on the participants' deliberations, we identified four presumed roles that medical AI could play in stroke medicine, including an administrative, assistive, advisory, and autonomous role AI. While most participants held positive attitudes towards medical AI and its potential to increase accuracy, speed, and efficiency in medical decision making, they also cautioned that it is not a stand-alone solution and may even lead to new problems. Participants particularly emphasized the importance of relational aspects and raised questions regarding the impact of AI on roles and responsibilities and patients' rights to information and decision-making. These findings shed light on the potential impact of medical AI on professional identities, role perceptions, and the doctor-patient relationship.ConclusionOur findings highlight the need for a more differentiated approach to identifying and tackling pertinent ethical and legal issues in the context of medical AI. We advocate for stakeholder and public involvement in the development of AI and AI governance to ensure that medical AI offers solutions to the most pressing challenges patients and clinicians face in clinical care.

Project description:AimTo explore nurses' experiences in natural disaster response.BackgroundNurses are key to disaster response. There is a growing body of qualitative research exploring this emerging nursing issue. However, there is a need to synthesise and summarise this body of knowledge to identify the overarching elements of how nurses experience working in disaster situations to reflect on their experiences so that we may help shape future clinical practice, research and education.DesignQualitative meta-synthesis.MethodFollowing PROSPERO guidelines (Moher et al., 2015), an exhaustive and systematic literature search and quality appraisal was undertaken in December 2019 to reveal nurses' experiences during natural disaster response. Sandelowski and Barroso's systematic retrieval, analysis and interpretation of findings method was used to produce a meta-summary of findings from 10 papers evaluating experiences across 9 disasters. A meta-aggregation was used to synthesise the findings from the studies and was methodically quality assessed with PRISMA and CASP.ResultsOur findings aggregated data from 42 sub-themes, into the following four themes to capture nurses' experiences after responding to disasters. These included agile response; leadership and innovative problem solving; building resilience; positive communication and need for psychological/emotional support.DiscussionThis meta-synthesis provides evidence to illustrate nurses' resilience and leadership capabilities as means to manage and perceive their disaster relief response. Factors such as emotional intelligence, capacity to react to changing situations, to manage scant resources in extreme situations were highlighted in nurses practising in highly stressful environments. Managers can use these examples to support ways to improve disaster management policies, but also, to engage in support for their staff.Relevance to clinical practiceThe role of nursing staff in disaster rescue is receiving significant attention. Understanding nurses' experiences during disaster rescue can help future leaders to improve capacity to respond and nursing preparedness through education, training and management, but also for continuing emotional support after the event.

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Expectations of survivors towards disaster nurses in Indonesia: A qualitative study.

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Expectations of survivors towards disaster nurses in Indonesia: A qualitative study.

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