ABSTRACT
BACKGROUND: Complexity theory has been chosen by many authors as a suitable lens through which to examine health and social care. Despite its potential value, many empirical investigations apply the theory in a tokenistic manner without engaging with its underlying concepts and underpinnings. OBJECTIVES: The aim of this scoping review is to synthesise the literature on empirical studies that have centred on the application of complexity theory to understand health and social care provision. METHODS: This scoping review considered primary research using complexity theory-informed approaches, published in English between 2012 and 2021. Cochrane Database of Systematic Reviews, MEDLINE, CINAHL, EMBASE, Web of Science, PSYCHINFO, the NHS Economic Evaluation Database, and the Health Economic Evaluations Database were searched. In addition, a manual search of the reference lists of relevant articles was conducted. Data extraction was conducted using Covidence software and a data extraction form was created to produce a descriptive summary of the results, addressing the objectives and research question. The review used the revised Arksey and O'Malley framework and adhered to the Preferred Reporting Items for Systematic Reviews and Meta-analysis Extension for Scoping Reviews (PRISMA-ScR). RESULTS: 2021 studies were initially identified with a total of 61 articles included for extraction. Complexity theory in health and social care research is poorly defined and described and was most commonly applied as a theoretical and analytical framework. The full breadth of the health and social care continuum was not represented in the identified articles, with the majority being healthcare focused. DISCUSSION: Complexity theory is being increasingly embraced in health and care research. The heterogeneity of the literature regarding the application of complexity theory made synthesis challenging. However, this scoping review has synthesised the most recent evidence and contributes to translational systems research by providing guidance for future studies. CONCLUSION: The study of complex health and care systems necessitates methods of interpreting dynamic prcesses which requires qualitative and longitudinal studies with abductive reasoning. The authors provide guidance on conducting complexity-informed primary research that seeks to promote rigor and transparency in the area. REGISTRATION: The scoping review protocol was registered at Open Science Framework, and the review protocol was published at BMJ Open (https://bit.ly/3Ex1Inu).
Subject(s)
Delivery of Health Care , Social Support , Humans , Research DesignABSTRACT
Background: Digital health technology has been identified as a valuable tool to support older adults with frailty needs in their home setting. Despite the numerous technologies and evaluations of these innovations, a synthesis of the older person and family caregivers' experience using technology for support self-management has not been conducted to date. Methods and analysis: A systematic review and meta-ethnography will be conducted in accordance with the PRISMA and eMERGe reporting guidelines. Four peer-reviewed empirical evidence databases will be searched (Medline (Ovid), CINAHL, EMBASE, PsycINFO) using a defined search strategy. Studies containing qualitative data on the experiences of older people or family caregivers of using digital health technology to support frailty care will be included. Covidence software will be used to screen studies and extract data. The Critical Appraisal Skills Programme (CASP) checklist for qualitative research will be used by two independent reviewers to appraise all included papers. A meta-ethnography will be undertaken in accordance with the seven-phase method described by Noblit and Hare: (1) Getting started, (2) Deciding what is relevant to the initial interest, (3) Reading the studies, (4) Determining how the studies are related, (5) Translating the studies into one another, (6) Synthesizing translations and (7) Expressing the synthesis. Discussion: To the best of our knowledge, this will be the first systematic review to integrate and synthesize the findings of qualitative studies of older citizens' experience of digital health technology. The findings of this meta-ethnography will endeavour to inform future research, policy and clinical practice. In particular, the results will help to inform the design of future digital health technology to meet the needs of older adults. PROSPERO registration number: Submitted 05/04/2022 and currently under review.
ABSTRACT
OBJECTIVE: To evaluate effects of remote monitoring of adjuvant chemotherapy related side effects via the Advanced Symptom Management System (ASyMS) on symptom burden, quality of life, supportive care needs, anxiety, self-efficacy, and work limitations. DESIGN: Multicentre, repeated measures, parallel group, evaluator masked, stratified randomised controlled trial. SETTING: Twelve cancer centres in Austria, Greece, Norway, Republic of Ireland, and UK. PARTICIPANTS: 829 patients with non-metastatic breast cancer, colorectal cancer, Hodgkin's disease, or non-Hodgkin's lymphoma receiving first line adjuvant chemotherapy or chemotherapy for the first time in five years. INTERVENTION: Patients were randomised to ASyMS (intervention; n=415) or standard care (control; n=414) over six cycles of chemotherapy. MAIN OUTCOME MEASURES: The primary outcome was symptom burden (Memorial Symptom Assessment Scale; MSAS). Secondary outcomes were health related quality of life (Functional Assessment of Cancer Therapy-General; FACT-G), Supportive Care Needs Survey Short-Form (SCNS-SF34), State-Trait Anxiety Inventory-Revised (STAI-R), Communication and Attitudinal Self-Efficacy scale for cancer (CASE-Cancer), and work limitations questionnaire (WLQ). RESULTS: For the intervention group, symptom burden remained at pre-chemotherapy treatment levels, whereas controls reported an increase from cycle 1 onwards (least squares absolute mean difference -0.15, 95% confidence interval -0.19 to -0.12; P<0.001; Cohen's D effect size=0.5). Analysis of MSAS sub-domains indicated significant reductions in favour of ASyMS for global distress index (-0.21, -0.27 to -0.16; P<0.001), psychological symptoms (-0.16, -0.23 to -0.10; P<0.001), and physical symptoms (-0.21, -0.26 to -0.17; P<0.001). FACT-G scores were higher in the intervention group across all cycles (mean difference 4.06, 95% confidence interval 2.65 to 5.46; P<0.001), whereas mean scores for STAI-R trait (-1.15, -1.90 to -0.41; P=0.003) and STAI-R state anxiety (-1.13, -2.06 to -0.20; P=0.02) were lower. CASE-Cancer scores were higher in the intervention group (mean difference 0.81, 0.19 to 1.43; P=0.01), and most SCNS-SF34 domains were lower, including sexuality needs (-1.56, -3.11 to -0.01; P<0.05), patient care and support needs (-1.74, -3.31 to -0.16; P=0.03), and physical and daily living needs (-2.8, -5.0 to -0.6; P=0.01). Other SCNS-SF34 domains and WLQ were not significantly different. Safety of ASyMS was satisfactory. Neutropenic events were higher in the intervention group. CONCLUSIONS: Significant reduction in symptom burden supports the use of ASyMS for remote symptom monitoring in cancer care. A "medium" Cohen's effect size of 0.5 showed a sizable, positive clinical effect of ASyMS on patients' symptom experiences. Remote monitoring systems will be vital for future services, particularly with blended models of care delivery arising from the covid-19 pandemic. TRIAL REGISTRATION: Clinicaltrials.gov NCT02356081.