How do Patients with Chronic Diseases Make Usage Decisions Regarding Mobile Health Monitoring Services?

The increasing population of patients with chronic diseases generates great challenge of chronic disease management. The occurrence of mobile health monitoring service is beneficial to chronic disease prevention and health promotion. The objective of this study is to investigate how the patients with chronic diseases make usage decisions on mobile health monitoring service. A survey comprising 261 subjects were conducted to validate the research model and proposed hypotheses. The results revealed that health severity positively influences mobile health monitoring service use intention, while negative health emotions do not. Health uncertainty avoidance strengthens the effect of health severity but weakens the effect of negative health emotions on mobile health monitoring service use intention. Limitations and implications for research and practice are discussed

An Empirical Analysis of the Influencing Factors of Adoption of Mobile Health Services in Bangladesh Based on Extended UTAUT Model

The aim of this study was to examine the critical factors affecting the adoption of mobile technologies in healthcare system of Bangladesh. Using the Unified Theory of Acceptance and Use of Technology (UTAUT) model as a theoretical framework, this study incorporates perceived reliability, price value as new factors that reflects the user’s reliability, beliefs and monetary concerns in the acceptance of mHealth services in the context of Bangladesh. A cross sectional survey questionnaire was used to collect data from 296 participants from general mHealth users in Bangladesh. The results demonstrate that performance expectancy, effort expectancy, social influence, facilitating condition & perceived reliability had significant influence on the intention to use mHealth services in Bangladesh. Surprisingly, price value (p\u3e0.05) had no significant influence on adoption of mHealth services. The insights from this study could benefit mHealth services providers, agencies and policy maker in implementing more effective marketing strategies to increase the acceptability of this service. With the proposed model, it is possible to develop better mHealth services to meet the requirements of the common people based on widely available Smartphone

Analysis of Interventions for Improving Cervical-Cancer Screening Uptake among Nigerian Women

Cervical-cancer is preventable through early detection of cervical intraepithelial neoplasia that heralds the disease via cervical-cancer screening, yet its mortality is still high especially in developing countries. In Nigeria, researchers have attributed the high cervical-cancer mortality to low uptake of cervical-cancer screening predicated on wrong perception and low knowledge of cervical-cancer and cervical-cancer screening; lack of cervical-cancer screening programme; inadequate community support for cervical-cancer screening and gap in screening skills among health-workers where opportunistic cervical-cancer screening exists. This study aims to identify context-specific interventions for improving cervical-cancer screening uptake and reducing cervical-cancer burden in Nigeria. Secondary data was used for the study. Literature were obtained from Global Health, Popline and PubMed databases; WHO and other relevant websites using Eldis search engine; and from libraries in the University of Leeds and WHO in Geneva. Interventions for improving cervical-cancer screening uptake were analyzed using a set of appraisal criteria which include; technical and cost effectiveness, organizational, gender, cultural and political feasibility to determine their applicability and transferability in Nigeria. Broad interventions identified are; intervention aimed at correcting perception, improving knowledge and increasing access to cervical-cancer screening. Reducing the burden and impact of cervical-cancer in Nigeria will depend on implementation of these interventions by stakeholders

Patients\u27 Acceptance of Smartphone Health Technology for Chronic Disease Management: A Theoretical Model and Empirical Test

Les quatre textes ont en commun de présenter certaines évolutions récentes de l’histoire politique en Allemagne. Ils prennent tous position face à trois tournants historiographiques. La notion d’histoire culturelle du politique peut servir d’emblème au premier de ces tournants : le politique est envisagé non plus comme une succession d’événements ni comme le fruit de déterminations structurelles dont il serait la superstructure ou l’écume, mais comme l’expression de valeurs et de procédures o..

empirical model based on UTAUT2

Tavares, J., Goulão, A., & Oliveira, T. (2018). Electronic Health Record Portals adoption: Empirical model based on UTAUT2. Informatics for Health and Social Care, 43(2), 109-125. DOI: 10.1080/17538157.2017.1363759Background: The future of healthcare delivery is becoming more citizen centered, as today’s user is more active and better informed. Governmental institutions are promoting the deployment and use of online services such as Electronic Health Record (EHR) portals. This makes the adoption of EHR portals an important field to study and understand. Objective: The aim of this study is to understand the factors that drive individuals to adopt EHR portals. Methods: This study applies the extended unified theory of acceptance and usage technology (UTAUT2) to explain patients’ individual adoption of EHR portals. An online questionnaire was administered. We collected 386 valid responses. Results: The statistically significant drivers of behavioral intention are performance expectancy ((Formula presented.)=0.17; p < 0.01), effort expectancy ((Formula presented.)=0.17; p < 0.01), social influence ((Formula presented.)=0.10; p < 0.05), and habit ((Formula presented.)=0.37; p < 0.001). Habit ((Formula presented.)=0.28; p < 0.001) and behavioral intention ((Formula presented.)=0.24; p < 0.001) are the statistically significant drivers of technology use. The model explains 52% of the variance in behavioral intention and 31% of the variance in technology use. Conclusions: By testing an information technology acceptance model, we are able to determine what is more valued by patients when it comes to deciding whether to adopt EHR portals or not.authorsversionpublishe

The (In)Effectiveness of Incentives - A Field Experiment on the Adoption of Personal Electronic Health Records

Medication errors are the third-leading cause of death in the US; however, a large number of these cases could be prevented through better medication management. The aging population and the associated high number of individuals taking multiple medications regularly makes medication management even more important. Personal electronic health records (PHRs) can improve medication management significantly and thus increase patient safety. Despite unequivocal benefits for individuals, healthcare professionals, governments, insurers, and employers, the adoption rate of PHRs remains low. Therefore, we seek to identify measures that motivate individuals to adopt PHRs. Drawing on justice theory, we show that incentives in terms of personalization, as well as the signal of fair information practices, increase the adoption rate of PHRs. These effects are mediated by perceived benefits and privacy concerns, respectively. Based on counterintuitive findings on the effects of monetary compensation we start a discussion on the complexity and context-dependency of different incentives

Extending the technology acceptance model: an investigation of factors affecting college students’ downloading of smartphone fitness applications

Technology Acceptance Model (TAM) is widely applied to explain how users come to adopt a new technology. Motivated by the need to have a better understanding of the rapid growth of fitness applications (apps) on smartphones, this study tests an extension of the TAM model through explaining how social influence and application characteristics affect college students’ behavioral intention of downloading fitness applications to their smartphones. Based on a survey and a series of regression analyses, the results confirm the effects of two major determinants—perceived usefulness and perceived ease of use—on users’ attitude toward using fitness apps. In addition, the findings show that electronic word of mouth (eWOM) and application characteristics significantly influence downloading of fitness apps. Finally, the results underline the crucial role of apps functional features. By adding external factors, the proposed research model fits in the context of fitness apps, and fills the literature gap by identifying how to motivate individuals to download fitness apps. The study provides researchers and marketers with empirical evidence about college students’ reasons for selection of fitness apps

Using the UTAUT Model to Determine Factors Affecting Acceptance and Use of Mobile Health (mHealth) Services in Bangladesh

mHealth is one of the most promising technologies that has emerged in recent years and could prove to have considerable value to both health services providers and patients for achieving the sustainable development goals (SDGs). But, the adoption of mHealth faces many challenges and barriers, including cultural, technological, personal, organizational and social issues which must be addressed and treated carefully by mHealth services providers. The aim of this study is to identify the critical factors affecting the adoption of mHealth in healthcare system of Bangladesh by extending the Unified Theory of Acceptance and Use of Technology (UTAUT) model to include perceived reliability and price value. A cross sectional survey questionnaire was used to collect data from 296 participants from different public and private hospitals in Dhaka city of Bangladesh. Result demonstrates that performance expectancy, effort expectancy, social influence, facilitating condition &amp; perceived reliability had significant influence on the intention to adopt mHealth services in Bangladesh. Surprisingly, price value (p&gt;0.05) had no significant influence on adoption of mHealth services. With the proposed model, it is possible to develop better mHealth services to meet the requirements of the common people based on widely available smartphone. The findings of this study will be beneficial for the government agencies, mobile phone operators, policy makers, healthcare providers and NGOs in developing countries

Using theory and evidence to design behaviour change interventions for reducing unsustainable wildlife consumption

Efforts to shift unsustainable human behaviour are at the crux of many conservation interventions, particularly when addressing illegal or unsustainable wildlife trade. These efforts, often in the form of behaviour change interventions, have proven largely unable to counteract this pervasive issue, however, leading to calls for more robust intervention designs. In behavioural science fields like public health, design processes that integrate human behaviour theory and evidence from data collection are often developed to ground behaviour change interventions within a strong understanding of the context, thus supporting interventions that are efficient and have a higher likelihood of success. Here we detail the foundational process of designing an intervention around the use of a wildlife product by a particular group: Singaporean consumers of saiga horn (from the Critically Endangered Saiga tatarica). We employ both qualitative and quantitative data, along with human behaviour theories and past literature on the study system, to develop a comprehensive understanding of the many influences driving this target audience to purchase saiga horn products. We use this insight to identify the key influences to leverage in a behaviour change intervention: those that are both the most powerful and the most amenable to change. This work provides a reproducible process which can be used by other intervention implementers, highlights the often complex intricacies of socially influenced behaviour, and demonstrates why a methodical understanding of these intricacies is invaluable when attempting to shift human behaviour for conservation goals. A free Plain Language Summary can be found within the Supporting Information of this article