Integration of immunization services with other health interventions in the developing world: what works and why? Systematic literature review

In Europe, there were almost twice as many patents granted for medical technology (13,795) compared to pharmaceuticals (7441) in 2018. It is important to ask how to integrate such an amount of innovations into routine clinical practice and how to measure the value it brings to the healthcare system. Given the novelty of digital health interventions (DHI), one can even question whether the quality-adjusted life years (QALY) approach developed for pharmaceuticals can be used or whether we need to develop a new DHI’s value assessment framework. We conducted a systematic literature review of published DHIs’ assessment guidelines. Each publication was analyzed with a 12-items checklist based on a EUnetHTA core model enriched with additional criteria such as usability, interoperability, and data security. In total, 11 value assessment guidelines were identified. The review revealed that safety, clinical effectiveness, usability, economic aspects, and interoperability were most often discussed (seven out of 11). More than half of the guidelines addressed organizational impact, data security, choice of comparator, and technical considerations (six out of 11). The unmet medical needs (three out of 11), along with the ethical (two out of 11) and legal aspects (one out of 11), were given the least attention. No author provided an analytical framework for the calculation of clinical and economic outcomes. We elicited five recommendations for the choice of DHI’s value criteria and a methodological suggestion for the pricing and reimbursement framework. Our conclusions lead to the need for a new DHI’s value assessment framework instead of a QALY approach.

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Biofeedback-Based Connected Mental Health Interventions for Anxiety: Systematic Literature Review

JMIR mhealth and uhealth ◽

10.2196/26038 ◽

2021 ◽

Vol 9 (4) ◽

pp. e26038

Author(s):

Mahra Alneyadi ◽

Nidal Drissi ◽

Mariam Almeqbaali ◽

Sofia Ouhbi

Keyword(s):

Mental Health ◽

Literature Review ◽

Physical Health ◽

Systematic Literature Review ◽

Health Interventions ◽

Psychological State ◽

Physiological Data ◽

Health Issues ◽

Mental Health Interventions ◽

Final Selection

Background Connected mental health, which refers to the use of technology for mental health care and technology-based therapeutic solutions, has become an established field of research. Biofeedback is one of the approaches used in connected mental health solutions, which is mainly based on the analysis of physiological indicators for the assessment and management of the psychological state. Biofeedback is recommended by many therapists and has been used for conditions including depression, insomnia, and anxiety. Anxiety is associated with several physiological symptoms, including muscle tension and breathing issues, which makes the inclusion of biofeedback useful for anxiety detection and management. Objective The aim of this study was to identify interventions using biofeedback as a part of their process for anxiety management and investigate their perceived effectiveness. Methods A systematic literature review of publications presenting empirically evaluated biofeedback-based interventions for anxiety was conducted. The systematic literature review was based on publications retrieved from IEEE Digital Library, PubMed, ScienceDirect, and Scopus. A preliminary selection of papers was identified, examined, and filtered to include only relevant publications. Studies in the final selection were classified and analyzed to extract the modalities of use of biofeedback in the identified interventions, the types of physiological data that were collected and analyzed and the sensors used to collect them. Processes and outcomes of the empirical evaluations were also extracted. Results After final selection, 13 publications presenting different interventions were investigated. The interventions addressed either primarily anxiety disorders or anxiety associated with health issues such as migraine, Parkinson disease, and rheumatology. Solutions combined biofeedback with other techniques including virtual reality, music therapy, games, and relaxation practices and used different sensors including cardiovascular belts, wrist sensors, or stretch sensors to collect physiological data such as heart rate, respiration indicators, and movement information. The interventions targeted different cohorts including children, students, and patients. Overall, outcomes from the empirical evaluations yielded positive results and emphasized the effectiveness of connected mental health solutions using biofeedback for anxiety; however, certain unfavorable outcomes, such as interventions not having an effect on anxiety and patients’ preferring traditional therapy, were reported in studies addressing patients with specific physical health issues. Conclusions The use of biofeedback in connected mental health interventions for the treatment and management of anxiety allows better screening and understanding of both psychological and physiological patient information, as well as of the association between the two. The inclusion of biofeedback could improve the outcome of interventions and boost their effectiveness; however, when used with patients suffering from certain physical health issues, suitability investigations are needed.

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Methods for Measuring Association between Intervention for Increasing Movement and Productivity

U Porto Journal of Engineering ◽

10.24840/2183-6493_004.001_0003 ◽

2018 ◽

Vol 4 (1) ◽

pp. 27-41

Author(s):

Sara Maheronnaghsh ◽

Joana Santos ◽

António Torres Marques ◽

Mário Vaz

Keyword(s):

Physical Activity ◽

Systematic Review ◽

Literature Review ◽

Systematic Literature Review ◽

English Language ◽

Health Interventions ◽

The Self ◽

Self Report ◽

Accuracy And Precision ◽

Prisma Statement

Aim: The purpose of this systematic literature review is to check papers to find the best method for measuring association between health interventions and productivity and find best intervention in workplace for increasing productivity.Method: This systematic review was performed based on PRISMA statement methodology and performed on all papers about association between productivity with intervention for increasing physical activity, published from 2007 until June 2017. The search was limited to English language items.Conclusion: The results of this systematic review demonstrate that providing interventions for workers in various workplaces have a low to high affecting on productivity, as measured by objective and organization specific metrics or subjective and self-report questionnaires. The Analyze of result showed that using different methods simultaneously can make more accuracy and precision. Also it’s better that before filling the self-report questionnaires researchers train all workers about the purpose of the study.

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Biofeedback-Based Connected Mental Health Interventions for Anxiety: Systematic Literature Review (Preprint)

10.2196/preprints.26038 ◽

2020 ◽

Author(s):

Mahra Alneyadi ◽

Nidal Drissi ◽

Mariam Almeqbaali ◽

Sofia Ouhbi

Keyword(s):

Mental Health ◽

Literature Review ◽

Physical Health ◽

Systematic Literature Review ◽

Health Interventions ◽

Psychological State ◽

Physiological Data ◽

Health Issues ◽

Mental Health Interventions ◽

Final Selection

BACKGROUND Connected mental health, which refers to the use of technology for mental health care and technology-based therapeutic solutions, has become an established field of research. Biofeedback is one of the approaches used in connected mental health solutions, which is mainly based on the analysis of physiological indicators for the assessment and management of the psychological state. Biofeedback is recommended by many therapists and has been used for conditions including depression, insomnia, and anxiety. Anxiety is associated with several physiological symptoms, including muscle tension and breathing issues, which makes the inclusion of biofeedback useful for anxiety detection and management. OBJECTIVE The aim of this study was to identify interventions using biofeedback as a part of their process for anxiety management and investigate their perceived effectiveness. METHODS A systematic literature review of publications presenting empirically evaluated biofeedback-based interventions for anxiety was conducted. The systematic literature review was based on publications retrieved from IEEE Digital Library, PubMed, ScienceDirect, and Scopus. A preliminary selection of papers was identified, examined, and filtered to include only relevant publications. Studies in the final selection were classified and analyzed to extract the modalities of use of biofeedback in the identified interventions, the types of physiological data that were collected and analyzed and the sensors used to collect them. Processes and outcomes of the empirical evaluations were also extracted. RESULTS After final selection, 13 publications presenting different interventions were investigated. The interventions addressed either primarily anxiety disorders or anxiety associated with health issues such as migraine, Parkinson disease, and rheumatology. Solutions combined biofeedback with other techniques including virtual reality, music therapy, games, and relaxation practices and used different sensors including cardiovascular belts, wrist sensors, or stretch sensors to collect physiological data such as heart rate, respiration indicators, and movement information. The interventions targeted different cohorts including children, students, and patients. Overall, outcomes from the empirical evaluations yielded positive results and emphasized the effectiveness of connected mental health solutions using biofeedback for anxiety; however, certain unfavorable outcomes, such as interventions not having an effect on anxiety and patients’ preferring traditional therapy, were reported in studies addressing patients with specific physical health issues. CONCLUSIONS The use of biofeedback in connected mental health interventions for the treatment and management of anxiety allows better screening and understanding of both psychological and physiological patient information, as well as of the association between the two. The inclusion of biofeedback could improve the outcome of interventions and boost their effectiveness; however, when used with patients suffering from certain physical health issues, suitability investigations are needed.

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