Modelling the Predictors of Mobile Health (mHealth) Adoption among Healthcare Professionals in Low-Resource Environments

This study was conducted with objectives to measure and validate the unified theory of the acceptance and use of technology (UTAUT) model as well as to identify the predictors of mobile health (mHealth) technology adoption among healthcare professionals in limited-resource settings. A cross-sectional survey was conducted at the six public and private hospitals in the two districts (Lodhran and Multan) of Punjab, Pakistan. The participants of the study comprised healthcare professionals (registered doctors and nurses) working in the participating hospitals. The findings of the seven-factor measurement model showed that behavioral intention (BI) to mHealth adoption is significantly influenced by performance expectancy (β = 0.504, CR = 5.064, p < 0.05) and self-concept (β = 0.860, CR = 5.968, p < 0.05) about mHealth technologies. The findings of the structural equation model (SEM) showed that the model is acceptable (χ2 (df = 259) = 3.207; p = 0.000; CFI = 0.891, IFI = 0.892, TLI = 0.874, RMSEA = 0.084). This study suggests that the adoption of mHealth can significantly help in improving people's access to quality healthcare resources and services as well as help in reducing costs and improving healthcare services. This study is significant in terms of identifying the predictors that play a determining role in the adoption of mHealth among healthcare professionals. This study presents an evidence-based model that provides an insight to policymakers, health organizations, governments, and political leaders in terms of facilitating, promoting, and implementing mHealth adoption plans in low-resource settings, which can significantly reduce health disparities and have a direct impact on health promotion.

The influence of mobile phone-based health reminders on patient adherence to medications and healthy lifestyle recommendations for effective management of diabetes type 2: a randomized control trial in Dhaka, Bangladesh

BACKGROUND

In 2017, 80% of 425 million adults with diabetes worldwide were living in low and middle-income countries. Diabetes affected 6.9 million adults in Bangladesh and accounted for 3% of the country's total mortality. Proper management of diabetes is the key to positive health outcomes. This study investigated how mobile phone-based health intervention could increase patient adherence and thereby improve the disease outcomes for diabetes type 2 in Bangladesh.

METHODS

A mobile phone-based health project (including mobile phone reminders and 24/7 call center) was implemented in Dhaka District, Bangladesh from January to December 2014. A randomized control trial was carried out, recruiting randomly in intervention and control groups among the patients receiving treatment for type 2 diabetes at the Bangladesh Institute of Health Sciences Hospital, Dhaka, Bangladesh. A total of 320 patients from both groups at baseline and 273 at endline were interviewed.

RESULTS

A significant improvement in patient adherence to diet, physical exercise, the cessation of use of tobacco and betel nut, and blood glycaemic control was found in the intervention group, whereas no such significant improvement was found in the control group. Cost and other co-morbidities were found to be the main reasons for non-adherence.

CONCLUSION

A mobile-health intervention should be considered as an additional option for non-communicable disease programs.

Doctor Consultation through Mobile Applications in India: An Overview, Challenges and the Way Forward

Objectives

To layout mHealth (mobile health) applications operating in India with the facility of either online doctor consultation or offline doctor appointment booking.

Methods

A cross-sectional, observational and web-based study was conducted. We searched the Google Play Store with the search strategy “health apps in India”. In the results, 250 applications (apps) appeared. Out of 250 apps, finally, 22 apps were found to be providing online doctor consultation and/or doctor appointment booking-related services.

Results

Among the selected mHealth apps operating in India and providing doctor consultation-related services online/offline, Practo, mfine, DocsApp, 1mg, Netmeds, Lybrate, MediBuddy, and Medlife were found to be the eight most popular ones with over a million downloads and on average four-plus user rating out of five. Practo, mfine, and Lybrate offer doctor consultation through chat, audio, and video calling. Netmeds and DocsApp offer doctor consultation through both chat and audio call. 1mg offers free chat consultation, while MediBuddy and Medlife offer audio call consultation only. Considering booking doctor appointments for offline consultation, Practo, mfine, 1mg, and Lybrate only offer this facility among the eight most popular selected mHealth apps.

Conclusions

mHealth apps providing doctor consultation are gaining popularity in India, and they have enormous potential in the country. The government should make enabling policies to facilitate and popularise mHealth apps.

Tools for App- and Web-Based Self-Testing of Cognitive Impairment: Systematic Search and Evaluation

BACKGROUND

Tools for app- and Web-based self-testing for identification of cognitive impairment are widely available but are of uncertain quality.

OBJECTIVE

The objective of this study was to undertake a scoping review of app- and Web-based self-tests for cognitive impairment and determine the validity of these tests.

METHODS

We conducted systematic searches in electronic databases, including Google search, Google Play Store, and iPhone Operating System App Store, using the search terms "Online OR Internet-based AND Memory OR Brain OR Dementia OR mild cognitive impairment OR MCI AND Test OR Screen OR Check."

RESULTS

We identified 3057 tools, of which 25 were included in the review. Most tools meeting the inclusion criteria assessed multiple cognitive domains. The most frequently assessed domains were memory, attention, and executive function. We then conducted an electronic survey with the developers of the tools to identify data relating to development and validation of each tool. If no response to the survey was received, Google (to identify gray literature), Google Scholar, and Medical Literature Analysis and Retrieval System Online were searched using key terms "(name of developer, if available)" AND "(the name of the tool)" to identify any additional data. Only 7 tools had any information concerning psychometric quality, and only 1 tool reported data on performance norms, reliability, validity, sensitivity, and specificity for the detection of cognitive impairment.

CONCLUSIONS

The number of cognitive self-assessment electronic health tools for cognitive impairment is increasing, but most are of uncertain quality. There is a need for well-validated tools and guidance for users concerning which tools provide reliable information about possible cognitive impairment that could warrant further investigation.

Understanding patients' experience living with diabetes type 2 and effective disease management: a qualitative study following a mobile health intervention in Bangladesh

BACKGROUND

In 2017, 425 million adults worldwide had diabetes; 80% were living in low and middle-income countries. Bangladesh had 6.9 million adults with diabetes; death from diabetes comprised 3% of the country's total mortality. This study looked at different factors (personal, familial, social, and financial) affecting both the life of patients with diabetes type 2 and the management of the disease. It also explored patient's perception of the mobile health intervention in the context of disease management and helped to explain the findings obtained from the quantitative part of this study.

METHOD

The study was a mixed-method, sequential explanatory design. A mobile health project (interactive voice call and call center) was implemented in Dhaka district, Bangladesh from January to December, 2014. Patients received treatment at the outpatient department of Bangladesh Institute of Health Science Hospital, Dhaka, Bangladesh, were included in intervention and control groups of the main study following a Randomized Control Trial. Among them, a total of 18 patients (9 + 9) were selected purposefully for the qualitative study, which was conducted in July, 2015. The sample was selected purposefully considering the age, sex, socio-economic status and proximity of living due to the political instability of the country during the data collection period. The interviews were transcribed and analyzed applying investigator triangulation.

RESULTS

Most patients stated that diabetes has affected their lives. In general, both groups´ evaluation of mobile health services were good and both regarded the recommendations for medication, diet, physical exercise, and other lifestyle behaviors (use of tobacco and betel nuts) as helpful. The cost of overall treatment (medications, physician consultations, laboratory investigations), the lack of availability of safe public places for physical exercise and unfavorable weather conditions (heat, rainfall) were mentioned as barriers to the overall management of the disease.

CONCLUSION

A patient-centered mobile health intervention supported by a collaborative patient-provider relationship, a strong family support system, available public spaces for exercise and the introduction of a functional public health insurance system could be beneficial for the better management of diabetes.

An exploratory case study of the organizational functioning of a decision-making and referral support call center for frontline providers of maternal and new born care in the Greater Accra Region of Ghana

A call center was designed and started implementation in the Greater Accra Region of Ghana in 2015, to support frontline provider decision-making and referral for maternal and new born care. This study aimed to understand the organizational functioning of the center and lessons for design improvement, implementation, and scale-up. The study design was a single case study. Data collection involved participant and nonparticipant observation, conversations, and in-depth interviews with call center staff. Data were coded and analyzed manually. Findings showed a high adherence to call center protocols, good client service skills, a strong local sense of ownership of the center, and staff resilience in performing their functions despite a context of scarce resources and no prior experience with running a call center. Perceptions of lack of involvement of some call center staff in decision-making, and the resource constrained working conditions sometimes hampered the functioning of the center. The locally driven bottom-up process used to establish the center appeared to be an important element in sustaining it despite the resource constraints. More attention to locally driven bottom-up approaches, organizational functioning, and resilience are critical to develop and sustain innovations for health outcome improvement in resource-constrained contexts.

The MomConnect helpdesk: how an interactive mobile messaging programme is used by mothers in South Africa

South Africa’s MomConnect mobile messaging programme, which aims to promote safe motherhood and improve pregnancy outcomes for South African women, includes a helpdesk feature which allows women registered on the system to ask maternal and child health (MCH)-related questions and to provide feedback on health services received at public health clinics. Messages sent to the helpdesk are answered by staff located at the National Department of Health. We examined event data from the MomConnect helpdesk database to identify any patterns in messages received, such as correlation of frequency or types of messages with location. We also explored what these data could tell us about the helpdesk’s effectiveness in improving health service delivery at public health clinics. We found that approximately 8% of registered MomConnect users used the helpdesk, and that usage was generally proportional to the use of antenatal care (ANC) services in provinces (as indicated by number of ANC first visits and number of MomConnect registrations), except in two provinces. Language, category and key topics of helpdesk messages were correlated with provinces. Most users accessed the helpdesk to seek maternal information, and where feedback about health services was provided, there were significantly more compliments than complaints. The MomConnect helpdesk is an important resource providing expectant mothers and mothers of infants with an interactive option for accessing MCH-related information—above that included in the standard MomConnect messages—and advances achievement of the health goals of the MomConnect programme.

Exploring the feasibility of eHealth solutions to decrease delays in maternal healthcare in remote communities of Ghana

Background

Despite the introduction of the Millennium Development Goal to reduce maternal deaths from 400 to 100 per 100,000 live births, the proportion of maternal deaths is still much higher in most developing countries like Ghana. Various interventions have been implemented in Ghana that focus on increasing skilled maternal care. These are especially needed in rural areas. EHealth has the potential to contribute to reducing the challenges in maternal healthcare (MHC) that poor areas suffer. This paper analyzes the potential of eHealth solutions to improve maternal health in rural Ghana as well as the challenges to their implementation. The work was carried out in cooperation with the local health directorate of Kpando Municipality, one of the administrative areas in the Volta Region.

Methods

The study is focused on remote peninsulas and islands in Kpando Municipality. Data was gathered through triangulated research methods. Maternal health challenges were identified using the Three Delays Model for MHC. The three delays are delay in seeking care, delay accessing health facilities, and delay receiving adequate care. Challenges to the implementation of eHealth solutions in remote communities were analyzed using the Drury’s 5C eHealth model for developing countries. The 5Cs correspond to context, community, capacity, connectivity, and content.

Results

The results show that financial dependence of women, a decision-making process based on previous experiences and traditional beliefs, competitiveness between facilities, organizational loopholes, lack of equipment, and geographical situations directly influence MHC outcomes. EHealth solutions, thanks to the high number of health workers with basic IT skills, have high potential to reduce MHC delays. However, poverty, cultural beliefs, organizational issues, connectivity, and lack of human resources were identified as main challenges to the implementation of eHealth solutions.

Conclusion

In Ghana’s rural areas the three delays proposed in the model affect the outcomes of MHC. These delays are influenced by socio-economic status, access to facilities, and quality of care. EHealth solutions show great potential to reduce the delays. Based on the 5C model, a mHealth solution aiming to improve guidance during pregnancy was outlined.

Assessing m-Health success in Bangladesh

Purpose

Mobile health, i.e. m-Health possesses huge potential, especially to the developing countries and remote locations of developed countries. The success of such systems may create a healthier society through eradicating health incidents, which cannot otherwise be addressed with “brick and mortar” type of health systems. The purpose of this paper is to develop an m-Health success model from users’ perspective and validate in a developing country context.

Design/methodology/approach

Epistemologically, positivist approach has been adopted for the current research. An initial research model was developed from existing information system (IS) literature, which was then validated with survey data applying partial least square structural equation modelling (PLS-SEM).

Findings

The results summarise that continuance intention (CI) of m-Health services is dependent on perceived value (PV) and user satisfaction (STF); PV positively influences STF. Moreover, platform quality, quality of medical advice, and interaction quality have positive and direct effect on PV and STF; finally, CI drives to better quality of health life.

Practical implications

The findings of this study provide strategic implications to health managers and practitioners recognising the determinants of m-Health success and comprehending their relationships. It is underscored that, in order to secure the success of an m-Health system in a given society both human and technology-related components are vital and therefore should be taken care of.

Originality/value

This is the first attempt that develops and validates an m-Health system success model, particularly from the context of a country with low-health profile. Moreover, the contextualisation of the related variables and extension of existing IS success models is theoretically original.

Positive influence of short message service and voice call interventions on adherence and health outcomes in case of chronic disease care: a systematic review

BACKGROUND

Chronic diseases have emerged as a serious threat for health, as well as for global development. They endenger considerably increased health care costs and diminish the productivity of the adult population group and, therefore, create a burden on health, as well as on the global economy. As the management of chronic diseases involves long-term care, often lifelong patient adherence is the key for better health outcomes. We carried out a systematic literature review on the impact of mobile health interventions -mobile phone texts and/or voice messages- in high, middle and low income countries to ascertain the impact on patients' adherence to medical advice, as well as the impact on health outcomes in cases of chronic diseases.

METHODS

The review identified fourteen related studies following the defined inclusion and exclusion criteria, in PubMed, Cochrane Library, the Library of Congress, and Web Sciences. All the interventions were critically analysed according to the study design, sample size, duration, tools used, and the statistical methods used for analysing the primary data. Impacts of the different interventions on outcomes of interest were also analysed.

RESULTS

The findings showed evidence of improved adherence, as well as health outcomes in disease management, using mobile Short Message Systems and/or Voice Calls. Significant improvement has been found on adherence with taking medicine, following diet and physical activity advice, as well as improvement in clinical parameters like HbA1c, blood glucose, blood cholesterol and control of blood pressure and asthma.

CONCLUSIONS

Though studies showed positive impacts on adherence and health outcomes, three caveats should be considered, (i) there was no clear understanding of the processes through which interventions worked; (ii) none of the studies showed cost data for the m-health interventions and (iii) only short term impacts were captured, it remains unclear whether the effects are sustained. More research is needed in these three areas before drawing concrete conclusions and making suggestions to policy makers for further decision and implementation.

Bigdata Oriented Multimedia Mobile Health Applications

In this paper, two mHealth applications are introduced, which can be employed as the terminals of bigdata based health service to collect information for electronic medical records (EMRs). The first one is a hybrid system for improving the user experience in the hyperbaric oxygen chamber by 3D stereoscopic virtual reality glasses and immersive perception. Several HMDs have been tested and compared. The second application is a voice interactive serious game as a likely solution for providing assistive rehabilitation tool for therapists. The recorder of the voice of patients could be analysed to evaluate the long-time rehabilitation results and further to predict the rehabilitation process.

Development and pilot of a framework to evaluate reproductive health call centre services: experience of Marie Stopes international

Background

Call centres can improve the effectiveness of health services by helping reduce access barriers associated with stigma and geography. This project aimed to develop and pilot a standardised evaluation framework to assess Marie Stopes International reproductive health call centres.

Methods

Consultations were held with staff from the 14 existing international call centres to gauge current monitoring and evaluation processes, identify gaps, and establish evaluation needs. The draft framework was then piloted in the Marie Stopes Mexico call centre using client and provider surveys, mystery callers and a review of call centre records.

Results

A flexible framework was developed to allow call centres to measure the effectiveness of services offered. Nineteen indicators were developed to assess access, equity, quality and efficiency. The pilot found pre-defined ranges for indicators of access were not appropriate for a high-functioning call centre that was already achieving nearly 100 % compliance. Several indicators could not be measured due to a lack of routine data collection systems.

Conclusions

A standardised evaluation framework will allow comparisons over time and between call centres in different countries. Future assessments could be improved by establishing routine, reliable data collection systems prior to framework implementation. This is one of the first attempts to standardise the evaluation of a reproductive health call centre and establishes a method by which they can be monitored, and thus improved, over time.

Attributes and circumstances that induce inappropriate health services demand: a study of the health sector in Brazil

Background

The current economic and social context has required health systems to provide top quality services and to be efficient in controlling costs. An obstacle to achieve these goals is the inappropriate health services demand. This study aims to present these inappropriate health service demand determinants from data on telephone calls made to a medical advice call centre.

Methods

This study used a Brazilian medical advice call centre data sample in the period of November and December 2012 (n = 19690), which supplied data on the user’s initial request, the physician’s recommendation, information on the patient and circumstances (the day and time of the day of the telephone call). The convergence between user intent and medical recommendation consists in adequate demand; otherwise the divergence consists in an inadequate one. In this way, using a logistic regression model, the critical factors that determine inappropriate health services request could be estimated.

Results

In general, the user’s initial intent is the most critical for the inappropriate health system demand occurrence: the greater the complexity of the patient’s initial intent, the greater the chance the intent is wrong: (OR: 1.160; 95% CI: 1.113-1.210). With regard to the social characteristics, men are more likely to make inappropriate requests (OR: 1.102; 95% CI: 1038-1169); as well as youngsters are more likely to use the system incorrectly (OR = .993; 95% CI: .992 - .994). Regarding the circumstances (day and time of the call), requests in the final hours of the day and on days close to the weekend are more likely to be the inappropriate ones (OR: 1.082 for each six hour increase; 95% CI: 1.049-1.116) and weekday (OR: 1.017 for each day increase; 95% CI: 1.002-1.032).

Conclusions

The critical profile for the inappropriate use occurrence consists of males and youngsters, who use the health service in the final hours of the day and at weekends, and mainly want to use more complex services. A practical implication of this research is to provide health systems managers, supporting information to the most critical users in order to assist them in making a decision when asking for health care.

A Framework to Identify Service Quality Determinants of IT Enabled Scalable Ventures: A Study from Indian Context

The introduction of information and communication technology (ICT) has altered the service delivery around the world by making it more accessible and cost effective across e-service markets. In a country like India the problem of health is an enormous one where a majority of poor are outside the effective medical network. In order to address these problems many information and technology (IT) oriented new ventures have been established to eliminate the gap in health inequity by creating network of hospitals exclusively in non-urban areas. Despite of huge popularity of these services, identifying the quality of such services need careful attention. Exhaustive review of literature highlights that there exists little understanding for such a study in IT enabled Indian healthcare domain in context to new ventures/start-ups with an emergence of a gap. With the increasing rise of technology enabled new healthcare ventures there have been high rates of failure too due to lack of providing quality service, so it has become imperative to prioritize the contextual and sectoral specific settings of service quality issues as it is being felt increasingly that it is the quality that would ultimately decide the value of services. This paper thus attempts to prioritize the context specific service quality dimensions in IT enabled scalable healthcare ventures from Indian context with focus in non-urban regions by deploying technique for order preference by similarity to ideal solution (TOPSIS) methodology as multi-criteria decision making technique. Further this paper proposed a conceptual model as conjectural understanding of the antecedents to the start-ups and as a guide that can provides new entrepreneurial insights to the service managers who can better apportion their resource in order to build quality and scalability.

A review of telemedicine business models

Telemedicine has become an increasingly popular option for long-distance/virtual medical care and education, but many telemedicine ventures fail to grow beyond the initial pilot stage. Studying the business models of successful telemedicine ventures can help develop business strategies for upcoming ventures. This article describes business models of eight telemedicine ventures from different regions of the world using Osterwalder's "Business Model Canvas." The ventures are chosen on the basis of their apparent success and their diverse value chains. The business models are compared to draw inferences and lessons regarding their business strategy and contextual factors that influenced it. Key differences between telemedicine business practices in developing and developed countries are also discussed. The purpose of this article is to inform and inspire the business strategy of the next generation of telemedicine ventures to be economically sustainable and to successfully address local healthcare challenges.