scholarly journals Health interventions among mobile pastoralists: a systematic review to guide health service design

2020 ◽  
Vol 25 (11) ◽  
pp. 1332-1352
Author(s):  
Hannah Wild ◽  
Emily Mendonsa ◽  
Micah Trautwein ◽  
Jeffrey Edwards ◽  
Ashley Jowell ◽  
...  
Keyword(s):  
Systematic Review ◽  
Health Service ◽  
Service Design ◽  
Health Interventions ◽  
Mobile Pastoralists

scholarly journals Evaluating health service outcomes of public involvement in health service design in high-income countries: a systematic review

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Nicola Lloyd ◽  
Amanda Kenny ◽  
Nerida Hyett
Keyword(s):  
Systematic Review ◽  
Mixed Methods ◽  
Health Service ◽  
Health Services ◽  
Study Design ◽  
Public Involvement ◽  
Service Design ◽  
High Income ◽  
Cochrane Library ◽  
Service Outcomes

Abstract Background Internationally, it is expected that health services will involve the public in health service design. Evaluation of public involvement has typically focused on the process and experiences for participants. Less is known about outcomes for health services. The aim of this systematic review was to a) identify and synthesise what is known about health service outcomes of public involvement and b) document how outcomes were evaluated. Methods Searches were undertaken in MEDLINE, EMBASE, The Cochrane Library, PsycINFO, Web of Science, and CINAHL for studies that reported health service outcomes from public involvement in health service design. The review was limited to high-income countries and studies in English. Study quality was assessed using the Mixed Methods Appraisal Tool and critical appraisal guidelines for assessing the quality and impact of user involvement in health research. Content analysis was used to determine the outcomes of public involvement in health service design and how outcomes were evaluated. Results A total of 93 articles were included. The majority were published in the last 5 years, were qualitative, and were located in the United Kingdom. A range of health service outcomes (discrete products, improvements to health services and system/policy level changes) were reported at various levels (service level, across services, and across organisations). However, evaluations of outcomes were reported in less than half of studies. In studies where outcomes were evaluated, a range of methods were used; most frequent were mixed methods. The quality of study design and reporting was inconsistent. Conclusion When reporting public involvement in health service design authors outline a range of outcomes for health services, but it is challenging to determine the extent of outcomes due to inadequate descriptions of study design and poor reporting. There is an urgent need for evaluations, including longitudinal study designs and cost-benefit analyses, to fully understand outcomes from public involvement in health service design.

scholarly journals Effectiveness of web-based and mobile health interventions designed to enhance adherence to physical activity for people with inflammatory arthritis: a systematic review

2021 ◽  
Author(s):  
Mandeep Sekhon ◽  
Claire White ◽  
Emma Godfrey ◽  
Aliya Amirova ◽  
Åsa Revenäs ◽  
...  
Keyword(s):  
Physical Activity ◽  
Systematic Review ◽  
Inflammatory Arthritis ◽  
Risk Of Bias ◽  
Health Interventions ◽  
Behaviour Change Techniques ◽  
Post Intervention ◽  
Web Based ◽  
Intervention Content ◽  
Secondary Outcomes

Abstract Objective The aim of this systematic review was to assess the evidence from randomised controlled trials (RCT) and cohort studies for the effectiveness of digital interventions designed to enhance adherence to physical activity (PA) for people with inflammatory arthritis (IA) and describe the intervention content using established coding criteria. Methods Six electronic databases were searched for published and unpublished studies. Independent data extraction and quality assessment (Cochrane risk of bias II or ROBIN I) were conducted by two reviewers. The primary outcome was self-reported adherence to PA post-intervention. Secondary outcomes included self-reported adherence to PA at other timepoints, level of PA or engagement with intervention at any follow-up timepoint. Intervention content was assessed using the Consensus on Exercise Reporting Template and the Behaviour Change Techniques taxonomy version 1. Results From 11,136 reports, four moderate risk of bias studies (three RCTs, one cohort study) including 1,160 participants with rheumatoid arthritis or juvenile inflammatory arthritis were identified. Due to heterogeneity of outcomes, a narrative synthesis was conducted. Only one RCT reported a small between group difference in adherence to PA [mean difference (95% confidence intervals) -0.46 (-0.82. -0.09)] in favour of the intervention. There were no between group differences in any secondary outcomes. Interventions included between 3–11 behaviour change techniques but provided minimal exercise prescription information. Conclusion There is currently limited moderate quality evidence available to confidently evaluate the effect of web-based and mobile health interventions on adherence to PA or level of PA post intervention in people with IA.

A first‐hand experience of co‐design in mental health service design: Opportunities, challenges, and lessons

2021 ◽  
Author(s):  
Rachel Marie Tindall ◽  
Melissa Ferris ◽  
Meredith Townsend ◽  
Gayle Boschert ◽  
Steven Moylan
Keyword(s):  
Mental Health ◽  
Mental Health Service ◽  
Health Service ◽  
Service Design

scholarly journals Prediction Models for Public Health Containment Measures on COVID-19 Using Artificial Intelligence and Machine Learning: A Systematic Review

2021 ◽  
Vol 18 (9) ◽  
pp. 4499
Author(s):  
Anil Babu Payedimarri ◽  
Diego Concina ◽  
Luigi Portinale ◽  
Massimo Canonico ◽  
Deborah Seys ◽  
...  
Keyword(s):  
Public Health ◽  
Artificial Intelligence ◽  
Machine Learning ◽  
Systematic Review ◽  
Public Transportation ◽  
Prediction Models ◽  
Positive Impact ◽  
Health Interventions ◽  
Public Health Interventions ◽  
Commercial Activities

Artificial Intelligence (AI) and Machine Learning (ML) have expanded their utilization in different fields of medicine. During the SARS-CoV-2 outbreak, AI and ML were also applied for the evaluation and/or implementation of public health interventions aimed to flatten the epidemiological curve. This systematic review aims to evaluate the effectiveness of the use of AI and ML when applied to public health interventions to contain the spread of SARS-CoV-2. Our findings showed that quarantine should be the best strategy for containing COVID-19. Nationwide lockdown also showed positive impact, whereas social distancing should be considered to be effective only in combination with other interventions including the closure of schools and commercial activities and the limitation of public transportation. Our findings also showed that all the interventions should be initiated early in the pandemic and continued for a sustained period. Despite the study limitation, we concluded that AI and ML could be of help for policy makers to define the strategies for containing the COVID-19 pandemic.

scholarly journals Mental health service users experiences of medication discontinuation: a systematic review of qualitative studies

2021 ◽  
pp. 1-12
Author(s):  
Brian Keogh ◽  
Esther Murphy ◽  
Louise Doyle ◽  
Greg Sheaf ◽  
Mike Watts ◽  
...  
Keyword(s):  
Mental Health ◽  
Systematic Review ◽  
Mental Health Service ◽  
Health Service ◽  
Qualitative Studies ◽  
Service Users ◽  
Medication Discontinuation

scholarly journals The use of social media as a tool for stakeholder engagement in health service design and quality improvement: A scoping review

2021 ◽  
Vol 7 ◽  
pp. 205520762199687
Author(s):  
Louisa Walsh ◽  
Nerida Hyett ◽  
Nicole Juniper ◽  
Chi Li ◽  
Sophie Rodier ◽  
...  
Keyword(s):  
Social Media ◽  
Quality Improvement ◽  
Health Service ◽  
First Nations ◽  
Scoping Review ◽  
Media Use ◽  
Qualitative Content Analysis ◽  
Service Design ◽  
Social Media Use ◽  
Communication Models

Background Health-related social media use is common but few health organisations have embraced its potential for engaging stakeholders in service design and quality improvement (QI). Social media may provide new ways to engage more diverse stakeholders and conduct health design and QI activities. Objective To map how social media is used by health services, providers and consumers to contribute to service design or QI activities. Methods The scoping review was undertaken using the Joanna Briggs Institute methodology. An advisory committee of stakeholders provided guidance throughout the review. Inclusion criteria were studies of any health service stakeholders, in any health setting, where social media was used as a tool for communications which influenced or advocated for changes to health service design or delivery. A descriptive numerical summary of the communication models, user populations and QI activities was created from the included studies, and the findings were further synthesised using deductive qualitative content analysis. Results 40 studies were included. User populations included organisations, clinical and non-clinical providers, young people, people with chronic illness/disability and First Nations people. Twitter was the most common platform for design and QI activities. Most activities were conducted using two-way communication models. A typology of social media use is presented, identifying nine major models of use. Conclusion This review identifies the ways in which social media is being used as a tool to engage stakeholders in health service design and QI, with different models of use appropriate for different activities, user populations and stages of the QI cycle.

A systematic review of mobile health interventions in China: Identifying gaps in care

2019 ◽  
pp. 1357633X1985674 ◽  
Author(s):  
Xiaoshi Yang ◽  
Carrie L Kovarik
Keyword(s):  
Systematic Review ◽  
Behaviour Change ◽  
Mobile Health ◽  
Urban Areas ◽  
Healthcare Services ◽  
Text Messages ◽  
Health Interventions ◽  
Health System Strengthening ◽  
World Health ◽  
Common Disease

Introduction Mobile health has a promising future in the healthcare system in most developed countries. China’s rapidly developing mobile technology infrastructure offers an unprecedented opportunity for wide adoption of mobile health interventions in the delivery of effective and timely healthcare services. However, there is little data on the current extent of the mobile health landscape in China. The aim of this study was to systematically review the existing mobile health initiatives in China, characterise the technology used, disease categories targeted, location of the end user (urban versus rural), and examine the potential effects of mobile health on health system strengthening in China. Furthermore, we identified gaps in development and evaluation of the effectiveness of mobile health interventions. Methods A systematic review of the literature published from 18 December 2015–3 April 2019 was conducted and yielded 2863 articles from English and Chinese retrieval database and trial registries, including PubMed, EMBASE, China National Knowledge of Infrastructure and World Health Organization International Clinical Trials Registry Platform. Studies were included if they used mobile health to support patient healthcare outcomes. Results A total of 1129 full-text articles were assessed and 338 were included in this study. The review found that most studies targeted client education and behaviour change via applications (apps) (65.4%), including WeChat, and text messaging (short text messages) (19.8%) to improve patient medical treatment outcomes such as compliance and appointment reminders. The most common disease-specific mobile health interventions focused primarily on chronic disease management and behaviour change in cardiology (13.3%), endocrinology/diabetes (12.1%), behavioural health (11.8%), oncology (11.2%) and neurology (6.8%). The mobile health interventions related to nutrition (0.6%) and chronic respiratory diseases (1.6%) are underrepresented in mobile health in comparison to the burden of disease in China. The majority (90.0%) of the mobile health interventions were conducted exclusively in urban areas, with few opportunities reaching rural populations. Conclusions Overall, mobile health has a promising future in China, with recent rapid growth in initiatives. The majority are focused on education and behaviour change in the realm of chronic diseases and target patients in urban areas. The imbalance in mobile health between the urban and rural areas, as well as between population disease spectrum and health service delivery, pose substantial dilemmas. However, mobile health may be redirected to correct this imbalance, possibly improving access to healthcare services, and filling the gaps in order to improve health equity for the underserved populations in China.

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