Adoption of a Personal Health Record in the Digital Age: Cross-Sectional Study

Yousef, Consuela Cheriece; Thomas, Abin; Alenazi, Ahmed O; Elgadi, Sumaya; Esba, Laila Carolina Abu; AlAzmi, Aeshah; Alhameed, Abrar Fahad; Hattan, Ahmed; Almekhloof, Saleh; AlShammary, Mohammed A; Alanezi, Nazzal Abdullah; Alhamdan, Hani; Eldegeir, Manal; Abulezz, Rayf; Khoshhal, Sahal; Masala, Clara Glynis; Ahmed, Omaima

doi:10.2196/22913

Cited by 21 publications

(27 citation statements)

References 50 publications

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“…Although social influences such as interactions with health care providers have been identified as important in patients’ adoption of PHRs, our findings did not find a significant impact [ 7 , 8 , 32 ]. Yousef et al [ 19 ], however, reported that health care providers (47.9%) or hospital staff (10.8%) were mainly responsible for recommending the use of MNGHA Care. Facilitating conditions likely did not have a significant impact as users found the organizational resources and technical help adequate.…”

Section: Discussionmentioning

confidence: 99%

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Predicting Patients’ Intention to Use a Personal Health Record Using an Adapted Unified Theory of Acceptance and Use of Technology Model: Secondary Data Analysis

Yousef¹,

Salgado²,

Farooq³

et al. 2021

JMIR Med Inform

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Background With the rise in the use of information and communication technologies in health care, patients have been encouraged to use eHealth tools such as personal health records (PHRs) for better health and well-being services. PHRs support patient-centered care and patient engagement. To support the achievement of the Kingdom of Saudi Arabia’s Vision 2030 ambitions, the National Transformation program provides a framework to use PHRs in meeting the 3-fold aim for health care—increased access, reduced cost, and improved quality of care—and to provide patient- and person-centered care. However, there has been limited research on PHR uptake within the country. Objective Using the Unified Theory of Acceptance and Use of Technology (UTAUT) as the theoretical framework, this study aims at identifying predictors of patient intention to utilize the Ministry of National Guard-Health Affairs PHR (MNGHA Care) app. Methods Using secondary data from a cross-sectional survey, data measuring the intention to use the MNGHA Care app, along with its predictors, were collected from among adults (n=324) visiting Ministry of National Guard-Health Affairs facilities in Riyadh, Jeddah, Dammam, Madinah, Al Ahsa, and Qassim. The relationship of predictors (main theory constructs) and moderators (age, gender, and experience with health apps) with the dependent variable (intention to use MNGHA Care) was tested using hierarchical multiple regression. Results Of the eligible population, a total of 261 adult patients were included in the analysis. They had a mean age of 35.07 (SD 9.61) years, 50.6 % were male (n=132), 45.2% had university-level education (n=118), and 53.3% had at least 1 chronic medical condition (n=139). The model explained 48.9% of the variance in behavioral intention to use the PHR (P=.38). Performance expectancy, effort expectancy, and positive attitude were significantly associated with behavioral intention to use the PHR (P<.05). Prior experience with health apps moderated the relationship between social influence and behavioral intention to use the PHR (P=.04). Conclusions This study contributes to the existing literature on PHR adoption broadly as well as in the context of the Kingdom of Saudi Arabia. Understanding which factors are associated with patient adoption of PHRs can guide future development and support the country’s aim of transforming the health care system. Similar to previous studies on PHR adoption, performance expectancy, effort expectancy, and positive attitude are important factors, and practical consideration should be given to support these areas.

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Section: Discussionmentioning

confidence: 99%

“…Data for the study were obtained from a cross-sectional survey study [ 19 ] in which data were collected to examine health information–seeking behavior and PHR (MNG-HA Care) use among patients. Secondary data were used in the current study.…”

Section: Methodsmentioning

confidence: 99%

Predicting Patients’ Intention to Use a Personal Health Record Using an Adapted Unified Theory of Acceptance and Use of Technology Model: Secondary Data Analysis

Yousef¹,

Salgado²,

Farooq³

et al. 2021

JMIR Med Inform

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“…Our study found a high level of awareness among HCPs, with 88.2% (217/246) having an account and 82.1% (202/246) recommending patients use the PHR. In our previous study in patients, HCPs and hospital staff were primarily responsible for recommending the PHR in 58.7% of patients who reported using MNGHA Care [ 18 ].…”

Section: Discussionmentioning

confidence: 99%

“…HCPs play a key role in supporting and engaging patients through their attitudes, behavior, and endorsement of services [ 17 ]. Although studies have shown a high level of patient interest in PHRs [ 5 , 18 - 20 ], there has been a disconnect between interest and uptake. This is partially due to HCPs’ reticence toward the acceptance and promotion of their use [ 5 , 21 , 22 ].…”

Section: Introductionmentioning

confidence: 99%

Health Care Providers’ Acceptance of a Personal Health Record: Cross-sectional Study

Yousef¹,

Salgado²,

Farooq³

et al. 2021

J Med Internet Res

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Background Personal health records (PHRs) are eHealth tools designed to support patient engagement, patient empowerment, and patient- and person-centered care. Endorsement of a PHR by health care providers (HCPs) facilitates patient acceptance. As health care organizations in the Kingdom of Saudi Arabia begin to adopt PHRs, understanding the perspectives of HCPs is important because it can influence patient adoption. However, no studies evaluated HCPs’ acceptance of PHRs in the Kingdom of Saudi Arabia. Objective The aim of this study was to identify predictors of HCPs’ acceptance of PHRs using behavioral intention to recommend as a proxy for adoption. Methods This cross-sectional study was conducted among HCPs (physicians, pharmacists, nurses, technicians, others) utilizing a survey based on the Unified Theory of Acceptance and Use of Technology. The main theory constructs of performance expectancy, effort expectancy, social influence, facilitating conditions, and positive attitude were considered independent variables. Behavioral intention was the dependent variable. Age, years of experience, and professional role were tested as moderators between the main theory constructs and behavioral intention using partial least squares structural equation modeling. Results Of the 291 participants, 246 were included in the final analysis. Behavioral intention to support PHR use among patients was significantly influenced by performance expectancy (β=.17, P=.03) and attitude (β=.61, P<.01). No moderating effects were present. Conclusions This study identified performance expectancy and attitude as predictors of HCPs’ behavioral intention to recommend PHR to patients. To encourage HCPs to endorse PHRs, health care organizations should involve HCPs in the implementation and provide training on the features available as well as expected benefits. Future studies should be conducted in other contexts and include other potential predictors.

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“…Given digital health innovations worldwide, e-platforms supporting conventional and novel pharmacy practice in Saudi Arabia are needed. Saudi consumers too, appear to engage with emerging e-health pathways, e.g., use of electronic health records which have been implemented in some public hospitals in alignment with the Vision 2030 [ 38 ]. Telehealth and digital technology use by community pharmacists has the potential to improve health outcomes [ 39 – 41 ].…”

Section: Discussionmentioning

confidence: 99%

Cardiovascular disease risk prevention services by pharmacists in Saudi Arabia: what do policymakers and opinion leaders think?

Almansour

Aloudah

Alhawassi

et al. 2021

J of Pharm Policy and Pract

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Background Cardiovascular disease (CVD) is an emerging contributor to national morbidity and mortality in Saudi Arabia. CVD risk prevention services are limited, particularly with an over-utilised public health sector and an under-utilised and under-resourced primary care sector. Globally, there is evidence that community pharmacists can play a key role in CVD prevention within primary care. However, the perspectives of policymakers and opinion leaders are critical to successful translation of evidence into practice. Thus, the aim was to engage policymakers and professional leaders in discussions about implementing high-quality CVD risk prevention services in community pharmacy. Methods Qualitative semi-structured interviews were conducted, audio-recorded and transcribed verbatim. All transcripts were thematically analysed. Results A total of 23 participants (87% male) from government and non-government sectors were interviewed. Of these, almost 65% had pharmacy qualifications. Limited provision of CVD risks preventative services in primary care was acknowledged by most participants and building community pharmacists’ capacity to assist in preventive health services was viewed favourably as one way of improving the status quo. The data yielded four key themes: (1) future pharmacy CVD health service models; (2) demonstrable outcomes; (3) professional engagement and advocacy; and (4) implementability. CVD health services roles (health screening, primary and secondary prevention services), pragmatic factors and tiered models of care (minimal, medium, and comprehensive pharmacist involvement) were discussed. The need for humanistic, clinical, and cost effectiveness outcomes to be demonstrated and active involvement of professional bodies were deemed important for such services to be sustainable. Professional pharmacy governance to develop pharmacy careers and workforce, pharmacy curricular reform and ongoing education were posed as key success factors for novel pharmacy roles. Practice policies, standards, and guidelines were seen as required to adhere to stringent quality control for future pharmacy services provision. Participant’s implementation vision for such services included scalability, affordability, access, adoption and health system reform. Most discussions focused on the need for structural improvement with limited input regarding processes or outcomes required to establish such models. Conclusions Most participants favoured pharmacy-based CVD risk prevention services, despite the variability in proposed service models. However, prior to developing such services, support structures at the health system and health professional level are needed as well as building public support and acceptability for pharmacy services.

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Adoption of a Personal Health Record in the Digital Age: Cross-Sectional Study

Cited by 21 publications

References 50 publications

Predicting Patients’ Intention to Use a Personal Health Record Using an Adapted Unified Theory of Acceptance and Use of Technology Model: Secondary Data Analysis

Predicting Patients’ Intention to Use a Personal Health Record Using an Adapted Unified Theory of Acceptance and Use of Technology Model: Secondary Data Analysis

Health Care Providers’ Acceptance of a Personal Health Record: Cross-sectional Study

Cardiovascular disease risk prevention services by pharmacists in Saudi Arabia: what do policymakers and opinion leaders think?

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