Efficacy of Osteoporosis Prevention Smartphone App

Ryan, Polly; Brown, Roger; Csuka, Mary Ellen; Papanek, Paula E.

doi:10.1097/nnr.0000000000000392

Cited by 15 publications

(16 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A total of 8 studies focused on improving lifestyle factors, including 2 (13%) on diet [ 48 , 63 ] and 6 (40%) on PA [ 64 - 69 ]—with 1 (7%) study on PA and diet [ 69 ] and 1 (7%) study on PA and sleep [ 68 ]. A total of 27% (4/15) of the studies focused on improving menopausal symptoms [ 70 - 73 ] such as vasomotor symptoms (eg, hot flushes and night sweats) and bone health [ 72 ]. The characteristics of two interventions (Activity and Technology [ACTIVATE] [ 67 , 68 ] and the Women’s Wellness Program [WWP] [ 69 , 73 ]) were each reported in 13% (2/15) of the studies and are described only once ( Table 1 ).…”

Section: Resultsmentioning

confidence: 99%

Behavior Change Techniques in Digital Health Interventions for Midlife Women: Systematic Review

Sediva¹,

Cartwright²,

Robertson³

et al. 2022

JMIR Mhealth Uhealth

View full text Add to dashboard Cite

Background Digital health interventions are efficacious in health-promoting behaviors (eg, healthy eating and regular physical activity) that mitigate health risks and menopausal symptoms in midlife. However, integrated evidence-based knowledge about the mechanisms of change in these interventions is unclear. Objective This systematic review aimed to evaluate studies on behavior change techniques (BCTs) and mechanisms of change in digital health interventions aimed at promoting health-enhancing behaviors in midlife women (aged 40-65 years). Methods A systematic literature search of the electronic databases PubMed, Web of Science, PsycINFO, and Cochrane Central Register of Controlled Trials in the Cochrane Library was conducted. In total, 2 independent reviewers selected the studies for inclusion, extracted data, and completed BCT mapping of eligible studies. The mechanism of action and intervention functions of eligible studies were evaluated using the behavior change wheel framework. Reporting of psychological theory use within these interventions was explored using the Theory Coding Scheme. Mode of delivery, psychological theory, and BCTs were presented as descriptive statistics. Results In total, 13 interventions (including 1315 women) reviewed used 13 (SD 4.30, range 6-21) BCTs per intervention on average. The “Shaping knowledge” and “Repetition and substitution” behavior change categories were used most frequently, with 92% (12/13) of the interventions implementing at least one of the BCTs from these 2 categories. Only 13.98% (169/1209) of the 93 available BCTs were used, with “Instructions on behaviour” most frequently used (12/13, 92%). The behavior change wheel mapping suggests that half of the intervention content aimed to increase “Capability” (49/98, 50% of the intervention strategies), “Motivation” (41/98, 42%), and “Opportunity” (8/98, 8%). “Behavioural Regulation” was the most frequently used mechanism of action (15/98, 15%), followed by increasing “Knowledge” (13/98, 13%) and “Cognitive and Interpersonal skills” (10/98, 10%). A total of 78% (7/9) of the intervention functions were used in the studies to change behavior, primarily through “Enablement” (60/169, 35.5%), whereas no study used “Restriction” or “Modelling” functions. Although 69% (9/13) of the interventions mentioned a psychological theory or model, most (10/13, 77%) stated or suggested rather than demonstrated the use of a theoretical base, and none reported explicit links between all BCTs within the intervention and the targeted theoretical constructs. Technological components were primarily based on web-based (9/13, 69%) modes of delivery, followed by phone or SMS text message (8/13, 62%) and wearables (7/13, 54%). Conclusions The findings of this review indicate an overall weak use of theory, low levels of treatment fidelity, insignificant outcomes, and insufficient description of several interventions to support the assessment of how specific BCTs were activated. Thus, the identified limitations in the current literature provide an opportunity to improve the design of lifestyle health-enhancing interventions for women in midlife. Trial Registration PROSPERO CRD42021259246; https://tinyurl.com/4ph74a9u

show abstract

Section: Resultsmentioning

confidence: 99%

Behavior Change Techniques in Digital Health Interventions for Midlife Women: Systematic Review

Sediva¹,

Cartwright²,

Robertson³

et al. 2022

JMIR Mhealth Uhealth

View full text Add to dashboard Cite

show abstract

“…Nowadays, mobile applications have gained more widespread usage to improve the quality of healthcare, including disease screening, preparation before treatment, self-care, and disease progression monitoring. Many diseases now have a dedicated mobile application for helping patients cope with their diseases, such as dementia, 4 osteoporosis, 5 diabetes mellitus, 6 burns, 7 heart disease, 8 hypertension, 9 and asthma. 10 For the successful treatment of hyperthyroidism by radioactive iodine, the important part is not only the administrative dose of radioactive iodine but also good knowledge regarding the disease and the well-planned preparation of patients.…”

Section: Discussionmentioning

confidence: 99%

Usability and Acceptability of Love Thyroid Application in Patients With Hyperthyroidism Receiving Radioactive Iodine Treatment

et al. 2022

View full text Add to dashboard Cite

Background: Telemedicine and e-health services are crucial tools to help patients undergo complex treatments, such as radioactive iodine treatment (RIT), during the COVID-19 pandemic. However, the efficacy of such tools in real-life practice in Thailand is unknown. Objective: To investigate the usability, acceptability, and user needs for the Love Thyroid application and book among patients with hyperthyroidism. Methods: A descriptive study, 120 patients with hyperthyroidism who received RIT were given the chance to use both the Love Thyroid application and book. Then, all patients completed the electronic questionnaire that gathers information, including the usability, acceptability and user needs for both media. Results: The Love Thyroid application was more helpful in following patients up after RIT and has a more attractive design than the book (P < .05). The book was easier to search for information than the application (P < .05). Furthermore, the application had higher acceptability than the book in terms of the confidence in data security, ease of handling, and satisfaction (P < .05). The usefulness of the educational contents was comparable for both media. The application was more likely to be recommended by the patients to others than the book (P < .05). Conclusions: Mobile applications, such as the Love Thyroid application, had good usability and acceptability as informative tools for patients with hyperthyroidism underwent RIT.

show abstract

“…The publications comprised feasibility studies [31][32][33][34][35][36][37][38][39], design and development articles [40][41][42][61][62][63], and case studies [43][44][45][46][47]. Among these studies, 41% (13/32) of articles were RCTs [36,37,[48][49][50][51][52][53][54][55][56][57][58]. Although most of the articles have a direct relation to osteoporosis [31,[40][41][42]49,52,57,[61][62][63], some of the selected articles refer to apps that are useful and indirectly related to osteoporosis; that is, they are not specifically designed for osteoporosis yet can be potentially useful in managing the disease [32,33,[35][36]…”

Section: Characteristics Of the Included Studiesmentioning

confidence: 99%

“…Approximately 6% (2/32) of studies measured BMD T score at baseline and after 20 weeks [52] and 12 months [48] of using the apps. After initiation, a slight decrease in the mean BMD T score was observed in one of the studies (Hedges g -0.084, 95% CI -0.461 to 0.293) [52], and a slight increase was reported in another study (Hedges g 0.108, 95% CI -0.106 to 0.322) [48]. The overall change in mean T score was not significant (Hedges g 0.06, 95% CI -1.00 to 1.12; Z=0.702; P=.48), with no heterogeneity (Q=0.810; p Q =0.368; I 2 =0; Figure 5A).…”

Section: Bmd T Scorementioning

confidence: 99%

Digital Health Technologies for Long-term Self-management of Osteoporosis: Systematic Review and Meta-analysis

Alhussein¹,

Hadjileontiadis²

2022

JMIR Mhealth Uhealth

View full text Add to dashboard Cite

Background Osteoporosis is the fourth most common chronic disease worldwide. The adoption of preventative measures and effective self-management interventions can help improve bone health. Mobile health (mHealth) technologies can play a key role in the care and self-management of patients with osteoporosis. Objective This study presents a systematic review and meta-analysis of the currently available mHealth apps targeting osteoporosis self-management, aiming to determine the current status, gaps, and challenges that future research could address, as well as propose appropriate recommendations. Methods A systematic review of all English articles was conducted, in addition to a survey of all apps available in iOS and Android app stores as of May 2021. A comprehensive literature search (2010 to May 2021) of PubMed, Scopus, EBSCO, Web of Science, and IEEE Xplore was conducted. Articles were included if they described apps dedicated to or useful for osteoporosis (targeting self-management, nutrition, physical activity, and risk assessment) delivered on smartphone devices for adults aged ≥18 years. Of the 32 articles, a random effects meta-analysis was performed on 13 (41%) studies of randomized controlled trials, whereas the 19 (59%) remaining studies were only included in the narrative synthesis as they did not provide enough data. Results In total, 3906 unique articles were identified. Of these 3906 articles, 32 (0.81%) articles met the inclusion criteria and were reviewed in depth. The 32 studies comprised 14,235 participants, of whom, on average, 69.5% (n=9893) were female, with a mean age of 49.8 (SD 17.8) years. The app search identified 23 relevant apps for osteoporosis self-management. The meta-analysis revealed that mHealth-supported interventions resulted in a significant reduction in pain (Hedges g −1.09, 95% CI −1.68 to −0.45) and disability (Hedges g −0.77, 95% CI −1.59 to 0.05). The posttreatment effect of the digital intervention was significant for physical function (Hedges g 2.54, 95% CI −4.08 to 4.08) but nonsignificant for well-being (Hedges g 0.17, 95% CI −1.84 to 2.17), physical activity (Hedges g 0.09, 95% CI −0.59 to 0.50), anxiety (Hedges g −0.29, 95% CI −6.11 to 5.53), fatigue (Hedges g −0.34, 95% CI −5.84 to 5.16), calcium (Hedges g −0.05, 95% CI −0.59 to 0.50), vitamin D intake (Hedges g 0.10, 95% CI −4.05 to 4.26), and trabecular score (Hedges g 0.06, 95% CI −1.00 to 1.12). Conclusions Osteoporosis apps have the potential to support and improve the management of the disease and its symptoms; they also appear to be valuable tools for patients and health professionals. However, most of the apps that are currently available lack clinically validated evidence of their efficacy and focus on a limited number of symptoms. A more holistic and personalized approach within a cocreation design ecosystem is needed. Trial Registration PROSPERO 2021 CRD42021269399; https://tinyurl.com/2sw454a9

show abstract

Efficacy of Osteoporosis Prevention Smartphone App

Cited by 15 publications

References 34 publications

Behavior Change Techniques in Digital Health Interventions for Midlife Women: Systematic Review

Behavior Change Techniques in Digital Health Interventions for Midlife Women: Systematic Review

Usability and Acceptability of Love Thyroid Application in Patients With Hyperthyroidism Receiving Radioactive Iodine Treatment

Digital Health Technologies for Long-term Self-management of Osteoporosis: Systematic Review and Meta-analysis

Contact Info

Product

Resources

About