Socio-technical Factors Impacting Patients’ Adoption of Mobile Health Tools: Systematic Literature Review (Preprint)

2022 ◽  
Author(s):  
CHRISTINE JACOB ◽  
Emre Sezgin ◽  
Antonio Sanchez-Vazquez ◽  
Chris Ivory
Keyword(s):  
Mobile Health ◽  
English Language ◽  
Treatment Plan ◽  
Personal Characteristics ◽  
Ease Of Use ◽  
Cochrane Library ◽  
Personal Factors ◽  
Related Factors ◽  
Patient Journey ◽  
Technical Factors

BACKGROUND Mobile Health (mHealth) tools have emerged as a promising healthcare technology that may contribute to cost savings, better access to care, and enhanced clinical outcomes; however, it is important to ensure their acceptance and adoption in order to harness this potential. Patient adoption has been recognized as key challenges that require further exploration. OBJECTIVE The aim of this review was to systematically investigate the literature to understand the factors impacting patients’ adoption of mHealth tools, by considering socio-technical factors (from technical, social and health perspectives). METHODS A structured search was completed following the participants, intervention, comparators, and outcomes (PICO framework. MEDLINE PubMed, the Cochrane Library, and SAGE database were searched for the studies published between January 2011 and July 2021 in the English language, yielding 5873 results, of which 147 studies met the inclusion criteria. The Preferred Reporting Items for Systematic Review and Meta-Analysis guidelines (PRISMA) and the Cochrane handbook were followed to ensure a systematic process. RESULTS The technical factors impacting patients’ adoption of mHealth tools were categorized into 6 key themes: usefulness, ease of use, data related, monetary factors, technical issues, and user experience; which were divided into 20 sub-themes. Health related factors were categorized into 6 key themes: the disease or health condition, the care team’s role, health consciousness and literacy, health behavior, relation to other therapies, integration into patient journey, and the patients’ insurance status. Social and personal factors were split into 3 key clusters: moderating factors, personal characteristics, and social and cultural aspects; these were divided into 19 subthemes, highlighting the importance of considering these factors when addressing potential barriers to mHealth adoption and how to overcome them. CONCLUSIONS This review builds on the growing body of research that investigates patients’ adoption of mHealth services, and highlights the complexity of the factors impacting adoption, including personal, social, technical, organizational and healthcare aspects. We recommend a more patient-centered approach, by ensuring the tools’ fit into the overall patient journey and treatment plan, emphasizing inclusive design, warranting comprehensive patient education and support, empowering and mobilizing clinicians and care teams, addressing ethical data management issues, and focusing on healthcare policies that may facilitate adoption. CLINICALTRIAL NA

scholarly journals Social, Organizational, and Technological Factors Impacting Clinicians’ Adoption of Mobile Health Tools: A Systematic Literature Review (Preprint)

2019 ◽  
Author(s):  
Christine Jacob ◽  
Antonio Sanchez-Vazquez ◽  
Chris Ivory
Keyword(s):  
Mobile Health ◽  
English Language ◽  
Organizational Factors ◽  
Evidence Base ◽  
Ease Of Use ◽  
Cochrane Library ◽  
User Engagement ◽  
Technological Factors ◽  
Study Results ◽  
Social Organizational

BACKGROUND There is a growing body of evidence highlighting the potential of Mobile Health in reducing healthcare costs, enhancing access, and improving the quality of patient care. However, user acceptance and adoption are key prerequisites to harness this potential, hence, a deeper understanding of the factors impacting this adoption is crucial for its success. OBJECTIVE The aim of this review is to systematically explore relevant published literature in order to synthesize the current understanding of the factors impacting clinicians’ adoption of mHealth tools, not only from a technology perspective but also from social and organizational perspectives. METHODS A structured search was carried out of Medline PubMed, the Cochrane Library, and SAGE database for studies published between January 2008 and July 2018 in the English language; yielding 4993 results, of which 171 met the inclusion criteria. RESULTS The technological factors impacting clinicians’ adoption of mobile health were categorized into 8 key themes: Usefulness, Ease of use, Design, Compatibility, Technical issues, content, Personalization and convenience. These were in turn divided into 14 sub-themes altogether. Social and organizational factors were much more prevalent and were categorized into 8 key themes: Workflow related, Patient related, Policy and regulations, Culture or attitude or social influence, Monetary factors, Evidence base, Awareness, and User engagement. These were in turn divided into 41 sub-themes, highlighting the importance of considering these factors when addressing potential barriers to mHealth adoption and how to overcome them. CONCLUSIONS The study results can help inform mHealth providers and policy makers regarding the key factors impacting mHealth adoption, guiding them into making educated decisions to foster this adoption and harness the potential benefits. CLINICALTRIAL NA

scholarly journals Social, Organizational, and Technological Factors Impacting Clinicians’ Adoption of Mobile Health Tools: Systematic Literature Review

10.2196/15935 ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. e15935 ◽  
Author(s):  
Christine Jacob ◽  
Antonio Sanchez-Vazquez ◽  
Chris Ivory
Keyword(s):  
Mobile Health ◽  
English Language ◽  
Meta Analysis ◽  
Organizational Factors ◽  
Evidence Base ◽  
Ease Of Use ◽  
Cochrane Library ◽  
User Engagement ◽  
Technological Factors ◽  
Study Results

Background There is a growing body of evidence highlighting the potential of mobile health (mHealth) in reducing health care costs, enhancing access, and improving the quality of patient care. However, user acceptance and adoption are key prerequisites to harness this potential; hence, a deeper understanding of the factors impacting this adoption is crucial for its success. Objective The aim of this review was to systematically explore relevant published literature to synthesize the current understanding of the factors impacting clinicians’ adoption of mHealth tools, not only from a technological perspective but also from social and organizational perspectives. Methods A structured search was carried out of MEDLINE, PubMed, the Cochrane Library, and the SAGE database for studies published between January 2008 and July 2018 in the English language, yielding 4993 results, of which 171 met the inclusion criteria. The Preferred Reporting Items for Systematic Review and Meta-Analysis guidelines and the Cochrane handbook were followed to ensure a systematic process. Results The technological factors impacting clinicians’ adoption of mHealth tools were categorized into eight key themes: usefulness, ease of use, design, compatibility, technical issues, content, personalization, and convenience, which were in turn divided into 14 subthemes altogether. Social and organizational factors were much more prevalent and were categorized into eight key themes: workflow related, patient related, policy and regulations, culture or attitude or social influence, monetary factors, evidence base, awareness, and user engagement. These were divided into 41 subthemes, highlighting the importance of considering these factors when addressing potential barriers to mHealth adoption and how to overcome them. Conclusions The study results can help inform mHealth providers and policymakers regarding the key factors impacting mHealth adoption, guiding them into making educated decisions to foster this adoption and harness the potential benefits.

scholarly journals Turnover intention among primary health workers in China: a systematic review and meta-analysis

BMJ Open ◽  
2020 ◽  
Vol 10 (10) ◽  
pp. e037117
Author(s):  
Rongxin He ◽  
Jinlin Liu ◽  
Wei-Hong Zhang ◽  
Bin Zhu ◽  
Ning Zhang ◽  
...  
Keyword(s):  
Turnover Intention ◽  
English Language ◽  
Health Workers ◽  
Meta Analysis ◽  
Systemic Review ◽  
Cochrane Library ◽  
Eligibility Criteria ◽  
Related Factors ◽  
Cross Sectional ◽  
Primary Health

ObjectivesTo analyse the prevalence and determinants of turnover intention (TI) among primary health workers (PHWs) in China to provide evidence for improving retention measures.DesignSystemic review and meta-analysis.Data sourcesFour English-language databases (PubMed, EMBASE, Cochrane Library, PsycINFO) and three Chinese databases (CNKI, CSPD, CBM) were searched up to October 2019.Eligibility criteriaEligible studies were observational or descriptive studies conducted in mainland China. The prevalence of TI among health workers and related factors had to be explicitly reported in each included study.Data extraction and synthesisData were extracted by one author and reviewed independently by two other authors. For each factor analysed by a meta-analysis, the factor was required to be the same across different studies, and at least three studies had to include it. The quality of studies was assessed using the Newcastle–Ottawa Scale and heterogeneity was evaluated using the I2 statistic.ResultsWe identified 16 cross-sectional studies investigating a total of 37 672 PHWs. The prevalence of TI was 30.4%. Subgroup analysis revealed that the highest prevalence was observed in the community primary healthcare institutions and the eastern provinces of China. Meta-analyses indicated that 21 factors were significantly associated with TI, including demographic factors (gender, age, education, marital status), job characteristic factors (title, work seniority, remuneration, social status, organisational affiliation, work stress) and job satisfaction factors (learning and training opportunity, interpersonal relationship, work condition and environment, and so on).ConclusionThis study highlights the problem of TI among PHWs in China. Efforts should be made to improve conditions in both work-related areas and areas outside of work. Policymakers should continue to improve reward systems, the construction of infrastructure and promotion systems, and pay more attention to PHWs’ lives outside of work and meet their living needs.

scholarly journals Online Donation Attitude and Satisfaction with Simple Mobile Payments: A Case of the Korean Red Cross

Societies ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 4
Author(s):  
Dong-Hyuk Kim ◽  
Bo-Young Kim
Keyword(s):  
Behavioral Control ◽  
Self Esteem ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Red Cross ◽  
Mobile Payment ◽  
Perceived Behavioral Control ◽  
Personal Factors ◽  
Online Donation ◽  
Technical Factors

COVID-19 and the fourth industrial revolution have rapidly changed our society into an overall contactless one. As smartphones become more popularized, donation methods are shifting to online activities that are beyond the traditional methods. In such a contactless society, mobile payment services are emerging as an innovative payment method. However, donation consolidation and persistence are lacking in online donation marketing and other online situations. This study empirically examines the effects of personal factors (unselfishness, self-esteem, and social norms) and technical factors (perceived usefulness, ease of use, and perceived behavioral control) on donation trust, attitude, and satisfaction if donations were made through a simple mobile payment system. To this end, an online questionnaire survey was carried out on donors using the Korean Red Cross’ simple mobile payment service. By collecting 250 data samples, this study verified hypotheses. As a result of the analysis, social norms under the personal factors were significant, but unselfishness and self-esteem did not affect donors. The perceived usefulness and ease of use, which are technical factors, positively affected trust in donation, but the perceived behavioral control was not significant. Consequently, intrinsic behavioral influence factors such as personal unselfishness, self-esteem, or behavioral control did not significantly affect donation behavior, in contrast with traditional donation methods.

scholarly journals What makes inequality in the area of dental and oral health in developing countries? A scoping review

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Peivand Bastani ◽  
Mohammadtaghi Mohammadpour ◽  
Gholamhossein Mehraliain ◽  
Sajad Delavari ◽  
Sisira Edirippulige
Keyword(s):  
Developing Countries ◽  
Thematic Analysis ◽  
Scoping Review ◽  
English Language ◽  
Dental Health ◽  
Personal Characteristics ◽  
Health Behaviours ◽  
Related Factors ◽  
Middle Income ◽  
Low And Middle Income

Abstract Background Equity in health is an important consideration for policy makers particularly in low and middle income developing country. The area of oral and dental health is not an exception. This study is conducted to explore the main determinants that make inequality in oral and dental health area in developing countries. Methods This was a scoping review applying the framework enhanced by Levac et al. Four databases of Scopus, PubMed, WOS and ProQuest were systematically searched applying to related keywords up to 27.11.2020. There restriction was placed in the English language but not on the study design. All the related studies conducted in the low or middle income developing countries were included. A qualitative thematic analysis was applied for data analysis and a thematic map was presented. Results Among 436 articles after excluding duplications, 73 articles were included that the number of publications from Brazil was greater than other developing countries (33.33%). Thematic analysis of the evidence has led to 11 determinants that may result in inequality in oral and dental health services in developing countries including personal characteristics, health status, health needs and health behaviours, social, economic, cultural and environmental factors, as well as insurance, policies and practices and provided related factors. Conclusion The policymakers in the low and middle income developing countries should be both aware of the role of inequality determinants and also try to shift the resources to the policies and practises that can improve the condition of population access to oral and dental services the same as comprehensive insurance packages, national surveillance system and fair distribution of dentistry facilities. It is also important to improve the population’s health literacy and health behaviour through social media and other suitable mechanisms according to the countries’ local contexts.

scholarly journals Relationship of Nasal Morphology With Different Dentoskeletal Patterns: A Systematic Review

2021 ◽  
Vol 55 (2) ◽  
pp. 122-137
Author(s):  
Rojalin Sahoo ◽  
Ajit Vikram Parihar ◽  
TP Chaturvedi ◽  
Shivam Verma
Keyword(s):  
Soft Tissue ◽  
English Language ◽  
Treatment Plan ◽  
Cochrane Library ◽  
Class Iii ◽  
Facial Aesthetics ◽  
Skeletal Class ◽  
Skeletal Class Ii ◽  
Online Library ◽  
Relationship Of

Introduction: The nose is considered by some clinicians as the keystone of facial aesthetics. A treatment plan can be customized to intensify the facial aesthetics of a patient through careful evaluation of the soft tissue drape. Hence, for getting a better outcome of the treatment plan, orthodontists are supposed to have in-depth knowledge and awareness of soft tissue changes, taking into notice the ethnic and racial variation in discrete cohorts. The objective of this study is to enlist the relationship of nasal morphology with different dentoskeletal (sagittal and vertical) patterns. Materials and Methods: A comprehensive electronic database search was performed till July 2020, of Cochrane Library, Embase, PubMed, Scopus, Google Scholar, Web of Science, Wiley Online Library, and ScienceDirect. Only articles published in the English language were included. After excluding all the irrelevant data through careful screening, a total of 15 articles were selected which discussed the nose–dentoskeletal pattern relation. Results and Conclusion: The nose is found to be convex in skeletal class II, straight in class I, and concave in class III. Those with increased vertical growth may have an increased tendency of a convex nasal dorsum. Maxillary and mandibular jaw length affect the nasal parameters more than the jaw position. Nasal length and nasal depth increase with the jaw length and mandibular and maxillary/palatal-plane inclination to the cranium. A long nose with increased nasal depth is expected in long faces and those with long upper and lower jaws. An upturned nose is found with an anticlockwise-rotated maxilla.

EFFECTIVNESS OF SPECIFIC MOBILE HEALTH APPLICATIONS (mHEALTH-APPS)in GESTATIONAL DIABTETES MELLITUS: A SYSTEMATIC REVIEW (Preprint)

2020 ◽  
Author(s):  
Claudia Eberle ◽  
Maxine Löhnert
Keyword(s):  
Mobile Health ◽  
Cochrane Library ◽  
Clinical Parameters ◽  
Control Groups ◽  
Manual Search ◽  
Mobile Health Applications ◽  
Short And Long Term ◽  
Mhealth Apps ◽  
Health Applications

BACKGROUND Gestational diabetes mellitus (GDM) emerges worldwide and is closely associated with short- and long-term health issues in women and their offspring, such as pregnancy and birth complications respectively comorbidities, Type 2 Diabetes (T2D), Metabolic Syndrome (MetS) as well as cardiovascular disease (CD). Against this background mobile health applications (mHealth-Apps) do open up new possibilities to improve the management of GDM clearly. OBJECTIVE Since there is – to our knowledge – no systematic literature review published, which focusses on the effectiveness of specific mHealth-Apps on clinical health-related short and long-term outcomes of mother and child, we conducted these much-needed analyses. METHODS Data sources: A systematic literature search in Medline (Pubmed), Cochrane Library, Embase, CINAHL and Web of Science was performed including full text publications since 2008 up to date. An additional manual search in references and Google Scholar was conducted subsequently. Study Eligibility Criteria: Women diagnosed with GDM using specific mHealth-Apps during pregnancy compared to control groups, which met main clinical parameters and outcomes in GDM management as well as maternity and offspring care. Study appraisal and synthesis methods: Study quality was assessed and rated “strong”, “moderate” or “weak” by using the Effective Public Health Practice Project (EPHPP) tool. Study results were strongly categorized by outcomes; an additional qualitative summary was assessed. Study selection: Overall, n= 114 studies were analyzed, n= 46 duplicates were removed, n=5 studies met the eligible criteria and n=1 study was assessed by manual search subsequently. In total, n=6 publications, analyzing n=408 GDM patients in the interventional and n=405 women diagnosed with GDM in the control groups, were included. These studies were divided into n=5 two-arm randomized controlled trials (RCT) and n=1 controlled clinical trial (CCT). RESULTS Distinct improvements in clinical parameters and outcomes, such as fasting blood glucoses (FBG), 2-hour postprandial blood glucoses (PBG), off target blood glucose measurements (OTBG), delivery modes and patient compliance were analyzed in GDM patients using specific mHealth-Apps compared to matched control groups. CONCLUSIONS mHealth-Apps clearly improve clinical outcomes in management of GDM effectively. More studies need to be done more in detail.

scholarly journals Accuracy of Pulse Oximetry in the Presence of Fetal Hemoglobin—A Systematic Review

Children ◽  
2021 ◽  
Vol 8 (5) ◽  
pp. 361
Author(s):  
Ena Pritišanac ◽  
Berndt Urlesberger ◽  
Bernhard Schwaberger ◽  
Gerhard Pichler
Keyword(s):  
Pulse Oximetry ◽  
Neonatal Intensive Care ◽  
English Language ◽  
Arterial Oxygen Saturation ◽  
Fetal Hemoglobin ◽  
Arterial Oxygen ◽  
Cochrane Library ◽  
Preterm Neonates ◽  
Neonatal Blood ◽  
The Impact

Continuous monitoring of arterial oxygen saturation by pulse oximetry (SpO2) is the main method to guide respiratory and oxygen support in neonates during postnatal stabilization and after admission to neonatal intensive care unit. The accuracy of these devices is therefore crucial. The presence of fetal hemoglobin (HbF) in neonatal blood might affect SpO2 readings. We performed a systematic qualitative review to investigate the impact of HbF on SpO2 accuracy in neonates. PubMed/Medline, Embase, Cumulative Index to Nursing & Allied Health database (CINAHL) and Cochrane library databases were searched from inception to January 2021 for human studies in the English language, which compared arterial oxygen saturations (SaO2) from neonatal blood with SpO2 readings and included HbF measurements in their reports. Ten observational studies were included. Eight studies reported SpO2-SaO2 bias that ranged from −3.6%, standard deviation (SD) 2.3%, to +4.2% (SD 2.4). However, it remains unclear to what extent this depends on HbF. Five studies showed that an increase in HbF changes the relation of partial oxygen pressure (paO2) to SpO2, which is physiologically explained by the leftward shift in oxygen dissociation curve. It is important to be aware of this shift when treating a neonate, especially for the lower SpO2 limits in preterm neonates to avoid undetected hypoxia.

scholarly journals Development of a prognostic tool: based on risk factors for tooth loss after active periodontal therapy

2021 ◽  
Author(s):  
Sonja Rahim-Wöstefeld ◽  
Dorothea Kronsteiner ◽  
Shirin ElSayed ◽  
Nihad ElSayed ◽  
Peter Eickholz ◽  
...  
Keyword(s):  
Risk Factors ◽  
Decision Making ◽  
Tooth Loss ◽  
Treatment Plan ◽  
Periodontal Therapy ◽  
Outcome Variable ◽  
Individual Treatment ◽  
Risk Indicator ◽  
Related Factors ◽  
Prognostic Tool

Abstract Objectives The aim of this study was to develop a prognostic tool to estimate long-term tooth retention in periodontitis patients at the beginning of active periodontal therapy (APT). Material and methods Tooth-related factors (type, location, bone loss (BL), infrabony defects, furcation involvement (FI), abutment status), and patient-related factors (age, gender, smoking, diabetes, plaque control record) were investigated in patients who had completed APT 10 years before. Descriptive analysis was performed, and a generalized linear-mixed model-tree was used to identify predictors for the main outcome variable tooth loss. To evaluate goodness-of-fit, the area under the curve (AUC) was calculated using cross-validation. A bootstrap approach was used to robustly identify risk factors while avoiding overfitting. Results Only a small percentage of teeth was lost during 10 years of supportive periodontal therapy (SPT; 0.15/year/patient). The risk factors abutment function, diabetes, and the risk indicator BL, FI, and age (≤ 61 vs. > 61) were identified to predict tooth loss. The prediction model reached an AUC of 0.77. Conclusion This quantitative prognostic model supports data-driven decision-making while establishing a treatment plan in periodontitis patients. In light of this, the presented prognostic tool may be of supporting value. Clinical relevance In daily clinical practice, a quantitative prognostic tool may support dentists with data-based decision-making. However, it should be stressed that treatment planning is strongly associated with the patient’s wishes and adherence. The tool described here may support establishment of an individual treatment plan for periodontally compromised patients.

scholarly journals The Rheumatology Drugs for COVID-19 Management: Which and When?

2021 ◽  
Vol 10 (4) ◽  
pp. 783
Author(s):  
Fabiola Atzeni ◽  
Ignazio Francesco Masala ◽  
Javier Rodríguez-Carrio ◽  
Roberto Ríos-Garcés ◽  
Elisabetta Gerratana ◽  
...  
Keyword(s):  
English Language ◽  
Multidisciplinary Approach ◽  
Intravenous Immunoglobulins ◽  
Cochrane Library ◽  
Immunomodulatory Drugs ◽  
Antiviral Therapies ◽  
Tnf Α ◽  
Large Heterogeneity ◽  
Necrosis Factor ◽  
Game Changer

Introduction: While waiting for the development of specific antiviral therapies and vaccines to effectively neutralize the SARS-CoV2, a relevant therapeutic strategy is to counteract the hyperinflammatory status, characterized by an increase mainly of interleukin (IL)-1β, IL-2, IL-6, IL-7, IL-8, and tumor necrosis factor (TNF)-α, which hallmarks the most severe clinical cases. ‘Repurposing’ immunomodulatory drugs and applying clinical management approved for rheumatic diseases represents a game-changer option. In this article, we will review the drugs that have indication in patients with COVID-19, including corticosteroids, antimalarials, anti-TNF, anti-IL-1, anti-IL-6, baricitinib, intravenous immunoglobulins, and colchicine. The PubMed, Medline, and Cochrane Library databases were searched for English-language papers concerning COVID-19 treatment published between January 2020 and October 2020. Results were summarized as a narrative review due to large heterogeneity among studies. In the absence of specific treatments, the use of immunomodulatory drugs could be advisable in severe COVID-19 patients, but clinical outcomes are still suboptimal. An early detection and treatment of the complications combined with a multidisciplinary approach could allow a better recovery of these patients.

Sign in / Sign up

Export Citation Format

Share Document