scholarly journals Validity and Reliability of the Persian Version of the Patient Readiness to Engage in Health Information Technology

Author(s):  
Reza Safdari ◽  
Ping Yu ◽  
Sahar khenarinezhad ◽  
Ehsan Ghazanfari Savadkoohi ◽  
Zohreh Javanmard ◽  
...  

Abstract Background:The patient readiness to engage in health information technology (PRE-HIT) is a conceptually and psychometrically validated questionnaire survey tool to measure willingness of patients with chronic conditions to use health information technology (HIT) resources.Objectives:This study was aimed to translate and validate a health information technology readiness instrument, the PRE-HIT instrument, in the Persian language.Methods:A rigorous process was followed to translate the PRE-HIT instrument Persian language. The face and content validity was validated by impact score, content validity index (CVI) and content validity ratio (CVR). The instrument was used to measure readiness of 289 patients with chronic diseases to engage with digital health with four point Likert scale. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) used to check the validity of structure. The convergent and discriminant validity, and internal reliability was expressed by average variance extracted (AVE), construct reliability (CR), maximum shared squared variance (MSV), average shared square variance (ASV), and Cronbach's alpha coefficient. Independent samples t-test and one-way ANOVA were used respectively to compare the impact of sex, education and computer literacy on the performance of all PRE-HIT factors.Results:Eight factors were extracted: health information needs, computer anxiety, computer/internet experience and expertise, preferred mode of interaction, no news is good news, relationship with doctor, cell phone expertise, and internet privacy concerns. They explained 69% of the total variance. An acceptable model fit and internal reliability of the instrument was achieved. The survey found that the Iranian patients had high level of cell phone expertise, computer/internet experience, good relationship with doctor, and high level of health information need. They had moderate level of concern about internet privacy and computer anxiety. Compared with men, women had higher level of health information need and more agreed with “no news is good news”, conversely men had higher level of cell phone expertise.Conclusion:The Persian version of the PRE-HIT was empirically proved for its validity to assess the level of readiness of patients to engage with digital health.

2016 ◽  
Vol 04 (02) ◽  
pp. 102-107
Author(s):  
Neera Gupta ◽  
Tushar Dixit ◽  
Vikram K.

AbstractMake in India is a flagship campaign from the Government of India which is aimed at various sectors. Indian health-care system can take advantages by introducing digital technologies to health care. The possible uses of health information technology as a method to engage with people involving communicable and noncommunicable diseases (NCDs) are wide-ranging. Health information technology can support interventions for prevention, diagnosis, managing surveillance, disease monitoring, and treatment compliance of many conditions. Digital health can offer various technologies such as wearables that are tracked by various mobile or smartphone applications to facilitates patient engagement, self-monitoring, and implementing behavior changes in NCDs such as diabetes. By incorporating the interactive audiovisual items, the digital health tools can create greater interest and engage people from different geographies, age, gender, and culture. Currently, the common digital heath tech issues include hesitancy from doctors to adopt any new product or technology, difficulty in reaching and accessing the needy patients, cultural diversity in population, and inadequate infrastructure. The ethical issues of consent, data security, and privacy of patients need to be addressed as they are highly sensitive in nature.


2017 ◽  
Vol 27 (6) ◽  
pp. 126-128 ◽  
Author(s):  
Theofanis Fotis

According to the U.S. Food and Drug Administration ‘the broad scope of digital health includes categories such as mobile health (mHealth), health information technology (IT), wearable devices, telehealth and telemedicine, and personalised medicine, and is used by providers and other stakeholders in their efforts to reduce inefficiencies, improve access, reduce costs, increase quality, and make medicine more personalised for patients (FDA 2016). More recently, Paul Sonier, a digital health strategist and founder of the Linkedin Digital Health Group with more than 40,000 members, defined digital health as ‘the convergence of the digital and genomic revolutions with health, healthcare, living, and society’ ( storyofdigitalhealth.com 2016).


2014 ◽  
Vol 10 (4) ◽  
pp. 227-230 ◽  
Author(s):  
Peter Paul Yu

Health information technology is frequently cited as a fundamental driver enabling health care reform. This Perspective reviews the ways ASCO has been engaged in giving form to this vision and its own vision of the role of digital health in accelerating progress against cancer.


2021 ◽  
pp. 148-156
Author(s):  
Eric D. Perakslis ◽  
Martin Stanley

The complex interrelationships among privacy, security, compliance, and quality create complementary opportunities to reinforce the objectives of cybersecurity regulation are explored. The risks that result from the involvement of a wide range of authorities with different objectives creates potential pitfalls, oversights, gaps, and delays in attaining these end states. The resulting gaps are threats that contribute to risks of adverse events in digital health. Given an environment where innovations in digital health are near constant, it is essential to keep security, privacy, compliance, and quality measures up to date. Federal guidelines from the National Institute of Standards and Technology (NIST) may be applied to help health information technology and digital health practices safe.


2014 ◽  
Vol 20 (3) ◽  
Author(s):  
Jiban Khuntia ◽  
Jahangir Karimi ◽  
Mohan Tanniru ◽  
Arlen Meyers

This article describes the initiative and actions related to establishing a Digital Health Consortium (DHC) at the University of Colorado Denver. The consortium is a part of the Center for Information Technology Innovation (CITI) in the Business School.  The objective is to augment existing information systems program offerings in health information technology with the support of industry affiliates and other partners of the university.  The CITI-DHC is an industry-academia led initiative with a mission to accelerate digital health transformation through education, research, and service. We illustrate the vision and plan for the consortium, that will be fulfilled with academic and industry stakeholders, and who will be engaged with the platform to support digital health care innovations through collaborations.  


2019 ◽  
Vol 26 (4) ◽  
pp. 2295-2299 ◽  
Author(s):  
Mark Sujan ◽  
Philip Scott ◽  
Kathrin Cresswell

The use of novel health information technology provides avenues for potentially significant patient benefit. However, it is also timely to take a step back and to consider whether the use of these technologies is safe – or more precisely what the current evidence for their safety is, and what kinds of evidence we should be looking for in order to create a convincing argument for patient safety. This special issue on patient safety includes eight papers that demonstrate an increasing focus on qualitative approaches and a growing recognition that the sociotechnical lens of examining health information technology–associated change is important. We encourage a balanced approach to technology adoption that embraces innovation, but nonetheless insists upon suitable concerns for safety and evaluation of outcomes.


2021 ◽  
pp. 64-65
Author(s):  
J.Mariano Anto Bruno Mascarenha

BACKGROUND: rd Despitebeingthe 3 LargestStartupecosystemintheworld,thenumber ofSuccessamong HealthInformationTechnology (DigitalHealth/HealthTech)Start-ups&Companies inIndiais very low. AIM: To understand the challenges that are unique to Indian Health care and how these hurdles lead to failure and also to give suggestions for a way forward SETTINGS AND DESIGN: Data available in Public Domain Regarding various startups and companies in this eld METHODS AND MATERIAL:Various Causes are analyzed and explained. STATISTICAL ANALYSIS USED: Not Used. RESULTS AND CONCLUSIONS: Startups and companies have failed because they have failed to understand the cardinal tenets of this eld and have guessed too much and arrived at wrong decisions.


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