Health Care Providers’ Utilization of and Perspectives on Mobile Health Technology for Diabetes and Pregnancy Support

2021 ◽  
pp. ds200040
Author(s):  
Jenise Jackson ◽  
Karolina Leziak ◽  
Charlotte M. Niznik ◽  
Lynn M. Yee
Keyword(s):  
Health Care ◽  
Health Care Providers ◽  
Mobile Health ◽  
Health Technology ◽  
Care Providers ◽  
Mobile Health Technology ◽  
Diabetes And Pregnancy

scholarly journals Characteristics of Adults Seeking Health Care Provider Support Facilitated by Mobile Technology: Secondary Data Analysis (Preprint)

2017 ◽  
Author(s):  
Kelly Bosak ◽  
Shin Hye Park
Keyword(s):  
Health Care ◽  
Health Care Providers ◽  
Mobile Technology ◽  
Mobile Health ◽  
Health Technology ◽  
Chronic Health Conditions ◽  
Health Conditions ◽  
Care Providers ◽  
Mobile Health Technology ◽  
Web Based

BACKGROUND Mobile health technology is rapidly evolving with the potential to transform health care. Self-management of health facilitated by mobile technology can maximize long-term health trajectories of adults. Little is known about the characteristics of adults seeking Web-based support from health care providers facilitated by mobile technology. OBJECTIVE This study aimed to examine the following: (1) the characteristics of adults who seek human support from health care providers for health concerns using mobile technology rather than from family members and friends or others with similar health conditions and (2) the use of mobile health technology among adults with chronic health conditions. Findings of this study were interpreted in the context of the Efficiency Model of Support. METHODS We first described characteristics of adults seeking Web-based support from health care providers. Using chi-square tests for categorical variables and t test for the continuous variable of age, we compared adults seeking Web-based and conventional support by demographics. The primary aim was analyzed using multivariate logistic regression to examine whether chronic health conditions and demographic factors (eg, sex, income, employment status, race, ethnicity, education, and age) were associated with seeking Web-based support from health care providers. RESULTS The sample included adults (N=1453), the majority of whom were female 57.60% (837/1453), white 75.02% (1090/1453), and non-Hispanic 89.13% (1295/1453). The age of the participants ranged from 18 to 92 years (mean 48.6, standard deviation [SD] 16.8). The majority 76.05% (1105/1453) of participants reported college or higher level of education. A disparity was found in access to health care providers via mobile technology based on socioeconomic status. Adults with annual income of US $30,000 to US $100,000 were 1.72 times more likely to use Web-based methods to contact a health care provider, and adults with an annual income above US $100,000 were 2.41 to 2.46 times more likely to access health care provider support on the Web, compared with those with an annual income below US $30,000. After adjusting for other demographic covariates and chronic conditions, age was not a significant factor in Web-based support seeking. CONCLUSIONS In this study, the likelihood of seeking Web-based support increased when adults had any or multiple chronic health conditions. A higher level of income and education than the general population was found to be related to the use of mobile health technology among adults in this survey. Future study is needed to better understand the disparity in Web-based support seeking for health issues and the clinicians’ role in promoting access to and use of mobile health technology.

OP162 Stakeholder Involvement In EUnetHTA Relative Effectiveness Assessments

2019 ◽  
Vol 35 (S1) ◽  
pp. 35-35
Author(s):  
María Sánchez González ◽  
Iñaki Imaz-Iglesia ◽  
Juan Pablo Chalco-Orrego
Keyword(s):  
Health Care ◽  
Focus Groups ◽  
Health Technology Assessment ◽  
Health Care Providers ◽  
Technology Assessment ◽  
Relative Effectiveness ◽  
Stakeholder Involvement ◽  
Health Technology ◽  
Care Providers ◽  
Project Plan

IntroductionAppropriate involvement of stakeholders is one of the founding principles of the European Cooperation on Health Technology Assessment. The European Network for Health Technology Assessment (EUnetHTA) produces Rapid Relative Effectiveness Assessments (REAs) to assess pharmaceutical (PT) or other technologies (OT). Stakeholders essentially participate in the scoping, the draft assessment phase, or both.MethodsAll REAs published since 2013 were reviewed. Stakeholder participation in scoping (project plan) and draft assessment was evaluated. We aggregated categories of stakeholders in four groups (Health Care Providers and Academia, Patients and Consumers, Manufacturers, and Regulators and Payers). Means of collaboration (meetings, comments to project plan and draft assessment, questionnaires, focus groups) are also analyzed. Data is continuously updated with new REAs.ResultsMore than 20 REAs have been published at the moment, with a higher number of OT. Health Care Providers and Academia acted as experts in both phases, participating in all REA of OT, and less of PT. Manufacturers participated in all REA in the scoping phase. Regulators and Payers, less involved, participated mainly in the scoping phase. The main methods are providing comments in a standardized form and meetings. Patients' contribution, similar in OT and PT, has increased over the years. Questionnaires or interviews were the main method of involvement, followed by participation in meetings and focus groups. Visibility and transparency have also improved, with a clearer reporting of the stakeholder contribution in the last assessments.ConclusionsThe stakeholder involvement in EUnetHTA REAs is steadily growing, with the different nature of stakeholders’ categories reflected in their contribution to the assessments. EUnetHTA is standardizing stakeholder involvement procedures taking into account the particularities of each group when generating guidance for stakeholder involvement.

scholarly journals The Usability and Effectiveness of Mobile Health Technology–Based Lifestyle and Medical Intervention Apps Supporting Health Care During Pregnancy: Systematic Review

2018 ◽  
Vol 6 (4) ◽  
pp. e109 ◽  
Author(s):  
Sanne B Overdijkink ◽  
Adeline V Velu ◽  
Ageeth N Rosman ◽  
Monique DM van Beukering ◽  
Marjolein Kok ◽  
...  
Keyword(s):  
Systematic Review ◽  
Health Care ◽  
Mobile Health ◽  
Health Technology ◽  
Medical Intervention ◽  
Mobile Health Technology

scholarly journals Socio-cultural contextual factors that contribute to the uptake of a mobile health intervention to enhance maternal health care in rural Senegal

2019 ◽  
Vol 16 (1) ◽  
Author(s):  
Margaret E. MacDonald ◽  
Gorgui Sene Diallo
Keyword(s):  
Health Care ◽  
Maternal Health ◽  
Maternal Mortality ◽  
Community Health ◽  
Health Care Providers ◽  
Mobile Health ◽  
Maternal Health Care ◽  
Care Group ◽  
Care Providers ◽  
Mhealth Intervention

Abstract Background Although considerable progress has been made in reducing maternal mortality over the past 25 years in Senegal, the national maternal mortality ratio (MMR), at 315 deaths per 100,000 live births, is still unacceptably high. In recent years a mobile health (mHealth) intervention to enhance maternal health care has been introduced in rural and remote areas of the country. CommCare is an application that runs on cell phones distributed to community health workers known as matrones who enroll and track women throughout pregnancy, birth and the post-partum, offering health information, moral support, appointment reminders, and referrals to formal health care providers. Methods An ethnographic study of the CommCare intervention and the larger maternal health program into which it fits was conducted in order to identify key social and cultural contextual factors that contribute to the uptake and functioning of this mHealth intervention in Senegal. Ethnographic methods and semi-structured interviews were used with participants drawn from four categories: NGO field staff (n = 16), trained health care providers (including physicians, nurses, and midwives) (n = 19), community level health care providers (n = 13); and women belonging to a community intervention known as the Care Group (n = 14). Data were analyzed using interpretive analysis informed by critical medical anthropology theory. Results The study identified five socio-cultural factors that work in concert to encourage the uptake and use of CommCare: convening women in the community Care Group; a cultural mechanism for enabling pregnancy disclosure; constituting authoritative knowledge amongst women; harnessing the roles of older women; and adding value to community health worker roles. We argue that, while CommCare is a powerful tool of information, clinical support, surveillance, and data collection, it is also a social technology that connects and motivates people, transforming relationships in ways that can optimize its potential to improve maternal health care. Conclusions In Senegal, mHealth has the potential not only to bridge the gaps of distance and expertise, but to engage local people productively in the goal of enhancing maternal health care. Successful mHealth interventions do not work as ‘magic bullets’ but are part of ‘assemblages’ – people and things that are brought together to accomplish particular goals. Attention to the social and cultural elements of the global health assemblage within which CommCare functions is critically important to understand and develop this mHealth technology to its full potential.

scholarly journals Feasibility and Acceptability of Using Smartphone Apps in Diabetes Self-Management in an Underserved Population: Qualitative Study (Preprint)

2018 ◽  
Author(s):  
Jenny Luo ◽  
Shelley White-Means
Keyword(s):  
Health Care ◽  
Health Care Providers ◽  
Mobile Health ◽  
Low Income ◽  
Underserved Populations ◽  
Low Cost ◽  
Self Management ◽  
Care Providers ◽  
Health Apps ◽  
Patients With Diabetes

BACKGROUND The successful management of diabetes is a chronic endeavor. It involves a whole host of factors ranging from a consistent patient-provider relationship to regular physical activity. Not all patients with diabetes, however, have access to the resources needed for effective disease management. Health disparities contribute to a higher frequency of diabetes development in poor and minority populations. Moreover, health care disparities limit the care these patient populations receive. Because underserved populations have little to no access to traditional means of health care, providers must explore other avenues to reach this patient group. Mobile health (mHealth) has grown significantly in the last decade. With the fast-paced adoption of cell phones across all socioeconomic groups, mobile health presents the opportunity to offer patients a low-cost way to receive health information, to communicate with providers, and to self-manage chronic conditions. It has been well established that low-income, minority populations experience several barriers to receiving basic health care including uninsurance, limited transportation, and high out-of-pocket costs. The provision of health care via mobile devices may have the potential to address such health disparities. Little is known about the effectiveness of using mobile health and smartphone applications (apps) in underserved populations to help with diabetes management. Knowledge of these patients’ interest in using mobile apps to augment their home self-management may have use in future implementations. OBJECTIVE The objective of this study is to examine the perception of and willingness to use diabetes mobile health apps on smartphones in patients with limited access to primary care providers. METHODS This study used purposive sampling to select patients for personal interviews. The study was conducted at a general hospital located in a part of town with predominate minority and low-income residency, as well as the highest diabetes prevalence rates. Semi-structured interviews were conducted according to McNamara’s interview staging. A total of 15 interviews were collected and coded by the researcher according to the interpretative phenomenological analysis framework. An independent committee reviewed all interview transcripts and coding to verify trustworthiness of collection and analysis. RESULTS The data produced 7 clusters related to smartphone app use and mHealth, each highlighting a component of the patient experience, which supported 3 overarching themes. The themes are as follows: despite limited knowledge about health apps and varying phone use patterns, patients were all willing to try at least one diabetes-related app; apps functions should be individualized to meet each patient’s needs for maximum benefit; and barriers to app use were varied but commonly included knowledge and technological challenges and security issues. CONCLUSIONS Personal interviews of this underserved patient population demonstrated an interest in and willingness to try mobile health apps, despite limited knowledge about the technology. Responses indicate that tailoring app choices to individual needs, instead of choosing a multi-functional one-size-fits-all app, would provide the most benefit for at-home diabetes self-management. Smartphone apps may serve as a viable low-cost resource for patients with diabetes who have limited access to traditional health care providers.

scholarly journals Mobile Health Adoption in Mental Health: User Experience of a Mobile Health App for Patients With an Eating Disorder (Preprint)

2018 ◽  
Author(s):  
Dimitra Anastasiadou ◽  
Frans Folkvord ◽  
Eduardo Serrano-Troncoso ◽  
Francisco Lupiañez-Villanueva
Keyword(s):  
Health Care ◽  
Eating Disorder ◽  
Focus Group ◽  
Health Care Providers ◽  
Mobile Health ◽  
Health Professionals ◽  
Health Care Professionals ◽  
Daily Practice ◽  
Care Providers ◽  
The Web

BACKGROUND Despite the worldwide growth in mobile health (mHealth) tools and the possible benefits for both patients and health care providers, the overall adoption levels of mHealth tools by health professionals remain relatively low. OBJECTIVE This study aimed (1) to investigate attitudes of health care providers and mHealth experts toward mHealth tools in the health context in general, and this study aimed (2) to test the acceptability and feasibility of a specific mHealth tool for patients with an eating disorder (ED), called TCApp, among patients and ED specialists. METHODS To this purpose, we conducted an explorative qualitative study with 4 in-depth group discussions with several groups of stakeholders: our first focus group was conducted with 11 experts on mHealth from the Catalan Association of Health Entities; the second focus group included 10 health care professionals from the Spanish College of Doctors of Barcelona; the third focus group involved 9 patients with an ED who had used the TCApp over a 12-week period, and the fourth and last focus group involved 8 ED specialists who had monitored such ED patients on the Web. RESULTS The focus groups showed that health care providers and mHealth experts reported barriers for mHealth adoption more often than facilitators, indicating that mHealth techniques are difficult to obtain and use. Most barriers were attributed to external factors relating to the human or organizational environment (ie, lack of time because of workload, lack of direct interest on a legislative or political level) rather than being attributed to internal factors relating to individual obstacles. The results of the mHealth intervention study indicate that the TCApp was considered as easy to use and useful, although patients and the ED specialists monitoring them on the Web reported different adoption problems, such as the inability to personalize the app, a lack of motivational and interactive components, or difficulties in adhering to the study protocol. CONCLUSIONS In general, this paper indicates that both health professionals and patients foresee difficulties that need to be addressed before comprehensive adoption and usage of mHealth techniques can be effectively implemented. Such findings are in line with previous studies, suggesting that although they acknowledge their possible benefits and cost-effectiveness, health care providers are quite resistant and conservative about integrating mHealth technologies in their daily practice.

scholarly journals Perceptions of Health Care Providers Regarding a Mobile Health Intervention to Manage Chronic Obstructive Pulmonary Disease: Qualitative Study (Preprint)

2019 ◽  
Author(s):  
Meshari F Alwashmi ◽  
Beverly Fitzpatrick ◽  
Erin Davis ◽  
John-Michael Gamble ◽  
Jamie Farrell ◽  
...  
Keyword(s):  
Chronic Obstructive Pulmonary Disease ◽  
Health Care ◽  
Qualitative Study ◽  
Health Care Providers ◽  
Mobile Health ◽  
Chronic Obstructive ◽  
Care Providers ◽  
Obstructive Pulmonary Disease ◽  
Mhealth Intervention ◽  
Facilitators And Barriers

BACKGROUND Using a mobile health (mHealth) intervention, consisting of a smartphone and compatible medical device, has the potential to enhance chronic obstructive pulmonary disease (COPD) treatment outcomes while mitigating health care costs. OBJECTIVE The aim of this study was to explore the potential facilitators and barriers among health care providers (HCPs) regarding the use of mHealth interventions for COPD management. METHODS This was a qualitative study. Semistructured individual interviews were conducted with HCPs, including nurses, pharmacists, and physicians who work directly with patients with COPD. A flexible prompts guide was used to facilitate discussions. Interview topics included the following: demographics, mHealth usage, perceptions toward challenges of mHealth adoption, factors facilitating mHealth adoption, and preferences regarding features of the mHealth intervention for COPD management. Interviews were conversational in nature, and items were not asked verbatim or in the order presented. The interviews were transcribed verbatim and compared against the digital recordings to ensure the accuracy of the content. After creating a codebook for analysis, 2 researchers independently coded the remaining interview data using pattern coding. They discussed commonalities and differences in coding until a consensus was reached. RESULTS A total of 30 nurses, physicians, and pharmacists participated. The main facilitators to mHealth adoption are possible health benefits for patients, ease of use, educating patients and their HCPs, credibility, and reducing cost to the health care system. Alternatively, the barriers to adoption are technical issues, privacy and confidentiality issues, lack of awareness, potential limited uptake from the elderly, potential limited connection between patients and HCPs, and finances. CONCLUSIONS It is important to understand the perceptions of HCPs regarding the adoption of innovative mHealth interventions for COPD management. This study identifies some potential facilitators and barriers that may inform the successful development and implementation of mHealth interventions for COPD management.

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