scholarly journals The Effectiveness of Digital Health Interventions in the Management of Musculoskeletal Conditions: Systematic Literature Review

10.2196/15617 ◽  
2020 ◽  
Vol 22 (6) ◽  
pp. e15617 ◽  
Author(s):  
Stephanie Hewitt ◽  
Ruth Sephton ◽  
Gillian Yeowell

Background Musculoskeletal conditions are the second greatest contributor to disability worldwide and have significant individual, societal, and economic implications. Due to the growing burden of musculoskeletal disability, an integrated and strategic response is urgently required. Digital health interventions provide high-reach, low-cost, readily accessible, and scalable interventions for large patient populations that address time and resource constraints. Objective This review aimed to investigate if digital health interventions are effective in reducing pain and functional disability in patients with musculoskeletal conditions. Methods A systematic review was undertaken to address the research objective. The review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. The review protocol was registered with the International Prospective Register of Systematic Reviews before commencement of the study. The following databases were searched: Medical Literature Analysis and Retrieval System Online (MEDLINE), Excerpta Medica database (EMBASE), Cumulative Index to Nursing and Allied Health Literature, and Scopus from January 1, 2000, to November 15, 2019, using search terms and database specific−medical subject headings terms in various combinations appropriate to the research objective. Results A total of 19 English language studies were eligible for inclusion. Of the 19 studies that assessed musculoskeletal pain, 9 reported statistically significant reductions following digital intervention. In all, 16 studies investigated functional disability; 10 studies showed a statistically significant improvement. Significant improvements were also found in a range of additional outcomes. Due to the heterogeneity of the results, a meta-analysis was not feasible. Conclusions This review has demonstrated that digital health interventions have some clinical benefits in the management of musculoskeletal conditions for pain and functional disability. Digital health interventions have the potential to contribute positively toward reducing the multifaceted burden of musculoskeletal conditions to the individual, economy, and society. Trial Registration PROSPERO CRD42018093343; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=93343

2019 ◽  
Author(s):  
Stephanie Hewitt ◽  
Ruth Sephton ◽  
Gillian Yeowell

BACKGROUND Musculoskeletal conditions are the second greatest contributor to disability worldwide and have significant individual, societal, and economic implications. Due to the growing burden of musculoskeletal disability, an integrated and strategic response is urgently required. Digital health interventions provide high-reach, low-cost, readily accessible, and scalable interventions for large patient populations that address time and resource constraints. OBJECTIVE This review aimed to investigate if digital health interventions are effective in reducing pain and functional disability in patients with musculoskeletal conditions. METHODS A systematic review was undertaken to address the research objective. The review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. The review protocol was registered with the International Prospective Register of Systematic Reviews before commencement of the study. The following databases were searched: Medical Literature Analysis and Retrieval System Online (MEDLINE), Excerpta Medica database (EMBASE), Cumulative Index to Nursing and Allied Health Literature, and Scopus from January 1, 2000, to November 15, 2019, using search terms and database specific−medical subject headings terms in various combinations appropriate to the research objective. RESULTS A total of 19 English language studies were eligible for inclusion. Of the 19 studies that assessed musculoskeletal pain, 9 reported statistically significant reductions following digital intervention. In all, 16 studies investigated functional disability; 10 studies showed a statistically significant improvement. Significant improvements were also found in a range of additional outcomes. Due to the heterogeneity of the results, a meta-analysis was not feasible. CONCLUSIONS This review has demonstrated that digital health interventions have some clinical benefits in the management of musculoskeletal conditions for pain and functional disability. Digital health interventions have the potential to contribute positively toward reducing the multifaceted burden of musculoskeletal conditions to the individual, economy, and society. CLINICALTRIAL PROSPERO CRD42018093343; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=93343


2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Anne M. Finucane ◽  
Hannah O’Donnell ◽  
Jean Lugton ◽  
Tilly Gibson-Watt ◽  
Connie Swenson ◽  
...  

AbstractDigital health interventions (DHIs) have the potential to improve the accessibility and effectiveness of palliative care but heterogeneity amongst existing systematic reviews presents a challenge for evidence synthesis. This meta-review applied a structured search of ten databases from 2006 to 2020, revealing 21 relevant systematic reviews, encompassing 332 publications. Interventions delivered via videoconferencing (17%), electronic healthcare records (16%) and phone (13%) were most frequently described in studies within reviews. DHIs were typically used in palliative care for education (20%), symptom management (15%), decision-making (13%), information provision or management (13%) and communication (9%). Across all reviews, mostly positive impacts were reported on education, information sharing, decision-making, communication and costs. Impacts on quality of life and physical and psychological symptoms were inconclusive. Applying AMSTAR 2 criteria, most reviews were judged as low quality as they lacked a protocol or did not consider risk of bias, so findings need to be interpreted with caution.


2021 ◽  
Author(s):  
Bonkana Maiga ◽  
Cheick O Bagayoko ◽  
Mohamed Ali Ag Ahmed ◽  
Abdrahamane Anne ◽  
Marie-Pierre Gagnon ◽  
...  

Abstract Background The use of digital health technologies to tackle diabetes has been particularly flourishing in recent years. Previous studies have shown to varying degrees that these technologies can have an impact on diabetes prevention and management. Objective The aim of this review is to summarize the best evidence regarding the effectiveness of digital health interventions to improve one or more diabetes indicators. Methods We included all types of interventions aimed at evaluating the effect of digital health on diabetes. We considered at all types of digital interventions (mobile health, teleconsultations, tele-expertise, electronic health records, decision support systems, e-learning, etc.). We included systematic reviews published in English or French over the last 29 years, from January 1991 to December 2019, that met the inclusion criteria. Two reviewers independently reviewed the titles and abstracts of the studies to assess their eligibility, and extracted relevant information according to a predetermined grid. Any disagreement was resolved by discussion and consensus between the two reviewers, or involved a third author as referee. Results In total in our review of journals, we included 10 reviews. The outcomes of interest were clinical indicators of diabetes that could be influenced by digital interventions. These outcomes had to be objectively measurable indicators related to diabetes surveillance and management that are generally accepted by diabetes experts. Six of the ten reviews showed moderate to large significant reductions in glycated hemoglobin (HBA1c) levels compared to controls. Most reviews reported overall positive results and found that digital health interventions improved health care utilization, behaviours, attitudes, knowledge and skills. Conclusion Based on a large corpus of scientific evidence on digital health interventions, this overview could help identify the most effective interventions to improve diabetes indicators.


2017 ◽  
Vol 24 (4) ◽  
pp. 867-879 ◽  
Author(s):  
Adrienne O’Neil ◽  
Fiona Cocker ◽  
Patricia Rarau ◽  
Shaira Baptista ◽  
Mandy Cassimatis ◽  
...  

Abstract Objectives. We conducted a meta-review to determine the reporting quality of user-centered digital interventions for the prevention and management of cardiometabolic conditions. Materials and Methods. Using predetermined inclusion criteria, systematic reviews published between 2010 and 2015 were identified from 3 databases. To assess whether current evidence is sufficient to inform wider uptake and implementation of digital health programs, we assessed the quality of reporting of research findings using (1) endorsement of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, (2) a quality assessment framework (eg, Cochrane risk of bias assessment tool), and (3) 8 parameters of the Consolidated Standards of Reporting Trials of Electronic and Mobile HEalth Applications and onLine TeleHealth (CONSORT-eHEALTH) guidelines (developed in 2010). Results. Of the 33 systematic reviews covering social media, Web-based programs, mobile health programs, and composite modalities, 6 reported using the recommended PRISMA guidelines. Seven did not report using a quality assessment framework. Applying the CONSORT-EHEALTH guidelines, reporting was of mild to moderate strength. Discussion. To our knowledge, this is the first meta-review to provide a comprehensive analysis of the quality of reporting of research findings for a range of digital health interventions. Our findings suggest that the evidence base and quality of reporting in this rapidly developing field needs significant improvement in order to inform wider implementation and uptake. Conclusion. The inconsistent quality of reporting of digital health interventions for cardiometabolic outcomes may be a critical impediment to real-world implementation.


2020 ◽  
Author(s):  
Anne Finucane ◽  
Hannah O'Donnell ◽  
Jean Lugton ◽  
Connie Swenson ◽  
Claudia Pagliari

Digital health interventions (DHIs) have the potential to improve the accessibility and effectiveness of palliative care but heterogeneity amongst existing systematic reviews presents a challenge for evidence synthesis. This rigorous meta-review applied a structured search of 10 databases from 2006 to 2020, revealing 21 relevant systematic reviews, encompassing 332 unique publications. Most reviews were moderate quality. Interventions delivered via videoconferencing (17%), electronic healthcare records (16%) and phone (13%) were most frequently described. DHIs were typically used in palliative care for education (20%), symptom management (15%), decision-making support (13%), information provision or management (13%), and communication (9%). Positive impacts were reported on education, decision-making, information-sharing, communication, and costs. Impacts on symptom management were either positive or showed no harmful effects. However often DHIs were described but not evaluated. Responsive pragmatic research designs are now needed to guide further evaluation, implementation and to inform future service innovation.


2017 ◽  
Author(s):  
Yunlong Wang ◽  
Ahmed Fadhil ◽  
Jan-Philipp Lange ◽  
Harald Reiterer

UNSTRUCTURED Digital health interventions (DHIs) have been emerging in the last decade. Due to their interdisciplinary nature, DHIs are guided and influenced by theories (eg, behavioral theories, behavior change technologies, and persuasive technology) from different research communities. However, DHIs are always coded using various taxonomies and reported in insufficient perspectives. This inconsistency and incomprehensiveness will cause difficulty in conducting systematic reviews and sharing contributions among communities. Therefore, based on existing related work, we propose a holistic framework that embeds behavioral theories, behavior change technique taxonomy, and persuasive system design principles. Including four development steps, two toolboxes, and one workflow, our framework aims to guide DHI developers to design, evaluate, and report their work in a formative and comprehensive way.


2021 ◽  
Author(s):  
David Villarreal-Zegarra ◽  
Christoper A. Alarcon-Ruiz ◽  
GJ Melendez-Torres ◽  
Roberto Torres-Puente ◽  
Alba Navarro-Flores ◽  
...  

BACKGROUND The use of technologies has served to reduce gaps in access to treatment and digital health interventions show promise in the care of mental health problems. However, to understand what and how these interventions work, it's imperative to document the aspects related to their challenging implementation. OBJECTIVE To determine what evidence is available for synchronous digital mental health implementation and develop a framework, informed by a realist review, to explain what makes digital mental health interventions work for people with mental health problems. METHODS The SPIDER framework was used to develop the following review question: What makes digital mental health interventions with a synchronous component work on people with mental health problems, including depression, anxiety, or stress, based on implementation, economic, quantitative, qualitative, and mixed methods studies? MEDLINE, EBM Reviews, PsycINFO, EMBASE, SCOPUS, CINAHL Complete, and Web of Science databases from 1st January 2015 to September 2020 were searched with no language restriction. AMSTAR-2 was used to assess the risk of bias, and CERQual was used to assess the confidence in cumulative evidence. Realist synthesis analysis allowed for developing a framework on the implementation of synchronous digital mental health using a grounded theory approach with an emergent approach. RESULTS 21 systematic reviews were included in the study. Ninety percent of the studies presented a critically low confidence level assessed with the AMSTAR-2. The realist synthesis allowed the development of three hypotheses to identify the context and mechanisms in which these interventions achieve these outcomes: Hypothesis 1: These interventions reach populations otherwise unable to have access because they do not require the physical presence of the therapist nor the patient, thereby tackling geographic barriers posed by in-person therapy. Hypothesis 2: These interventions reach populations otherwise unable to have access because they can be successfully delivered by non-specialists, which makes them more cost-effective to implement in health services. Hypothesis 3: These interventions are acceptable and show good results in satisfaction, because they require less need of disclosure and provide more privacy, comfortability, and participation, enabling the establishment of rapport with the therapist. CONCLUSIONS We developed a framework with three hypotheses that explain what makes digital mental health interventions with a synchronous component work on people with mental health problems. Each hypothesis represented essential outcomes in the implementation process. CLINICALTRIAL PROSPERO (CRD420203811). INTERNATIONAL REGISTERED REPORT RR2-10.12688/f1000research.27150.2


2021 ◽  
Author(s):  
David Villarreal-Zegarra ◽  
Christoper A. Alarcon-Ruiz ◽  
GJ Melendez-Torres ◽  
Roberto Torres-Puente ◽  
Alba Navarro-Flores ◽  
...  

Abstract Background: The use of technologies has served to reduce gaps in access to treatment and digital health interventions show promise in the care of mental health problems. However, to understand what and how these interventions work, it's imperative to document the aspects related to their challenging implementation. Methods: The SPIDER framework was used to develop the following review question: What makes digital mental health interventions with a synchronous component work on people with mental health problems, including depression, anxiety, or stress, based on implementation, economic, quantitative, qualitative, and mixed methods studies? MEDLINE, EBM Reviews, PsycINFO, EMBASE, SCOPUS, CINAHL Complete, and Web of Science databases from 1st January 2015 to September 2020 were searched with no language restriction. AMSTAR-2 was used to assess the risk of bias, and CERQual was used to assess the confidence in cumulative evidence. Realist synthesis analysis allowed for developing a framework on the implementation of synchronous digital mental health using a grounded theory approach with an emergent approach.Results: 21 systematic reviews were included in the study. Ninety percent of the studies presented a critically low confidence level assessed with the AMSTAR-2. The realist synthesis allowed the development of three hypotheses to identify the context and mechanisms in which these interventions achieve these outcomes: Hypothesis 1: These interventions reach populations otherwise unable to have access because they do not require the physical presence of the therapist nor the patient, thereby tackling geographic barriers posed by in-person therapy. Hypothesis 2: These interventions reach populations otherwise unable to have access because they can be successfully delivered by non-specialists, which makes them more cost-effective to implement in health services. Hypothesis 3: These interventions are acceptable and show good results in satisfaction, because they require less need of disclosure and provide more privacy, comfortability, and participation, enabling the establishment of rapport with the therapist.Conclusion: We developed a framework with three hypotheses that explain what makes digital mental health interventions with a synchronous component work on people with mental health problems. Each hypothesis represented essential outcomes in the implementation process.Registration: PROSPERO (CRD420203811).


2021 ◽  
Author(s):  
David Villarreal-Zegarra ◽  
Christoper A. Alarcon-Ruiz ◽  
GJ Melendez-Torres ◽  
Roberto Torres-Puente ◽  
Alba Navarro-Flores ◽  
...  

Abstract Background: The use of technologies has served to reduce gaps in access to treatment and digital health interventions show promise in the care of mental health problems. However, to understand what and how these interventions work, it's imperative to document the aspects related to their challenging implementation. Objective: To determine what evidence is available for synchronous digital mental health implementation and develop a framework, informed by a realist review, to explain what makes digital mental health interventions work for people with mental health problems.Methods: The SPIDER framework was used to develop the following review question: What makes digital mental health interventions with a synchronous component work on people with mental health problems, including depression, anxiety, or stress, based on implementation, economic, quantitative, qualitative, and mixed methods studies? MEDLINE, EBM Reviews, PsycINFO, EMBASE, SCOPUS, CINAHL Complete, and Web of Science databases from 1st January 2015 to September 2020 were searched. Realist synthesis analysis allowed for developing a framework on the implementation of synchronous digital mental health using a grounded theory approach with an emergent approach.Results: 21 systematic reviews were included in the study. The realist synthesis allowed the development of three hypotheses to identify the context and mechanisms in which these interventions achieve these outcomes: Hypothesis 1: These interventions reach populations otherwise unable to have access because they do not require the physical presence of the therapist nor the patient, thereby tackling geographic barriers posed by in-person therapy. Hypothesis 2: These interventions reach populations otherwise unable to have access because they can be successfully delivered by non-specialists, which makes them more cost-effective to implement in health services. Hypothesis 3: These interventions are acceptable and show good results in satisfaction, because they require less need of disclosure and provide more privacy, comfortability, and participation, enabling the establishment of rapport with the therapist.Conclusion: We developed a framework with three hypotheses that explain what makes digital mental health interventions with a synchronous component work on people with mental health problems. Each hypothesis represented essential outcomes in the implementation process.Systematic review registration: PROSPERO (CRD420203811).


2019 ◽  
Vol 25 (15) ◽  
pp. 1783-1790 ◽  
Author(s):  
Rosario Pastor ◽  
Josep A. Tur

Background: Several drugs have been currently approved for the treatment of obesity. The pharmacokinetic of liraglutide, as well as the treatment of type 2 diabetes mellitus, have been widely described. Objective: To analyze the published systematic reviews on the use of liraglutide for the treatment of obesity. Methods: Systematic reviews were found out through MEDLINE searches, through EBSCO host and the Cochrane Library based on the following terms: "liraglutide" as major term and using the following Medical Subject Headings (MesH) terms: "obesity", "overweight", "weight loss". A total of 3 systematic reviews were finally included to be analyzed. Results: From the three systematic reviews selected, only two included the randomized clinical trials, while the third study reviewed both randomized and non-randomized clinical trials. Only one review performed statistical tests of heterogeneity and a meta-analysis, combining the results of individual studies. Another review showed the results of individual studies with odds ratio and confidence interval, but a second one just showed the means and confidence intervals. In all studies, weight loss was registered in persons treated with liraglutide in a dose dependent form, reaching a plateau at 3.0 mg dose, which was reached just in men. Most usual adverse events were gastrointestinal. Conclusion: More powerful and prospective studies are needed to assess all aspects related to liraglutide in the overweight and obesity treatment.


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