Perceived barriers and enablers of a personal health record from the healthcare provider perspective.

Personal health records (PHRs) have been implemented around the world as a means to increase the safety, quality, and efficiency of health care. The Ministry of National Guard Health Affairs in the Kingdom of Saudi Arabia launched their PHR in 2018. This study aimed to explore healthcare provider (HCP) perspectives of barriers to and enablers of PHR adoption in Saudi Arabia. The 291 participating HCPs (40.5% nurses, 23.0% pharmacists, 17.2% physicians, 15.5% technicians, and 3.8% other) selected the following as top-3 barriers to PHR adoption: 1) lack of patient awareness (19.4%), 2) patient low literacy (17.7%), and 3) patient resistance to new technologies (12.5%). Of these, 36 responded to the open-ended question gauging feedback on the PHR. Three main themes were identified from the comments: 1) general perceptions of the PHR (positive attitudes, negative attitudes, additional features); 2) patient engagement as a requirement for the successful implementation of the PHR; and 3) education/training of HCPs, patients, and caregivers. This analysis extends our understanding of HCP perspectives of barriers and enablers to PHR adoption. Further qualitative research with patients is required to confirm our findings.

Staff Knowledge Enhancement Program in Hospital Pharmacy: One-Year Experience.

Purpose: To assess the effectiveness of Staff Knowledge Enhancement Program (SKEP) among staff, in improving staff knowledge, and awareness of policies and procedures. Methods: After 1 year of implementing SKEP, a survey was conducted among pharmacy staff that participated in SKEP during June 2019 (n = 38). The survey included 7 questions and the answers were on a scale of 1 to 5 (1 = strongly disagree and 5 = strongly agree). The investigators also obtained the average monthly time used to solve SKEP test, and the number of therapeutic intervention documentations (TID). Results: Sixty-one percent of the pharmacists and 80% of the technicians were satisfied with the educational content of SKEP; 35% of pharmacists and 93% of technicians felt that their learning needs were met with the SKEP; 83% of pharmacists and 93 % of technicians found SKEP is an effective tool in improving their knowledge; 48% of pharmacists and 34% of technicians felt that SKEP made staff evaluations fair; 38% of pharmacists felt that SKEP is a burden and takes a lot from their free time, while 40% of technicians did not have this feeling; 83% of pharmacist and 93% of the technicians found that the knowledge gained from SKEP applicable in their daily practice; 73% and 74% of the pharmacists and technicians who completed the survey felt that their familiarity with policies and procedures improved after SKEP respectively. The total number of TID increased by 30% and the average duration for the test was 5 hours/month and 68 minutes/month per pharmacist and technician respectively. Conclusion: SKEP is innovative tool which may enhance the knowledge and policy awareness among pharmacy staff.

Predicting Health Care Providers' Acceptance of a Personal Health Record Secure Messaging Feature.

BACKGROUND: Personal health records (PHRs) can facilitate patient-centered communication through the secure messaging feature. As health care organizations in the Kingdom of Saudi Arabia implement PHRs and begin to implement the secure messaging feature, studies are needed to evaluate health care providers' acceptance. OBJECTIVE: The aim of this study was to identify predictors of health care providers' behavioral intention to support the addition of a secure messaging feature in PHRs using an adapted model of the Unified Theory of Acceptance and Use of Technology as the theoretical framework. METHODS: Using a cross-sectional survey design, data on acceptance of secure messaging features in PHRs were collected from health care providers working at the Ministry of National Guard Health Affairs between April and May 2021. The proposed model was tested using partial least squares structural equation modeling in SmartPLS. RESULTS: There were 224 participants: female (66.5%), 40 to 49 years of age (39.9%), nurses (45.1%), and those working more than 10 years in the organization (68.8%). Behavioral intention to support the addition of a secure messaging feature was significantly influenced by performance expectancy (ß = 0.21, p = 0.01) and attitude (ß = 0.50, p < 0.01), while other predicting factors, such as effort expectancy, social influence, and facilitating condition, did not significantly affect the intention. Furthermore, age, years of experience, and professional role did not moderate the relationships. CONCLUSION: Health care professionals will support introducing a secure messaging feature in the PHRs if they serve the intended purpose. Considering attitude also plays a significant role in acceptance, it is necessary to arrange for training and support, so that caregivers, health care providers, and the patients become familiar with the benefits and expected outcomes of using the feature.

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

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 (ß=.17, P=.03) and attitude (ß=.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.

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

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.

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

BACKGROUND: As health care organizations strive to improve health care access, quality, and costs, they have implemented patient-facing eHealth technologies such as personal health records to better engage patients in the management of their health. In the Kingdom of Saudi Arabia, eHealth is also growing in accordance with Vision 2030 and its National Transformation Program framework, creating a roadmap for increased quality and efficiency of the health care system and supporting the goal of patient-centered care. OBJECTIVE: The aim of this study was to investigate the adoption of the personal health record of the Ministry of National Guard Health Affairs (MNGHA Care). METHODS: A cross-sectional survey was conducted in adults visiting outpatient clinics in hospitals at the Ministry of National Guard Health Affairs hospitals in Riyadh, Jeddah, Dammam, Madinah, and Al Ahsa, and primary health care clinics in Riyadh and Qassim. The main outcome measure was self-reported use of MNGHA Care. RESULTS: In the sample of 546 adult patients, 383 (70.1%) reported being users of MNGHA Care. MNGHA Care users were more likely to be younger (P<.001), high school or university educated (P<.001), employed (P<.001), have a chronic condition (P=.046), use the internet to search for health-related information (P<.001), and use health apps on their mobile phones (P<.001). CONCLUSIONS: The results of this study show that there is substantial interest for the use of MNGHA Care personal health record with 70% of participants self-reporting use. To confirm these findings, objective data from the portal usage logs are needed. Maximizing the potential of MNGHA Care supports patient engagement and is aligned with the national eHealth initiative to encourage the use of technology for high-quality, accessible patient-centered care. Future research should include health care provider perspectives, incorporate objective data, employ a mixed-methods approach, and use a theoretical framework.

Retrospective evaluation of piperacillin-tazobactam, imipenem-cilastatin and meropenem used on surgical floors at a tertiary care hospital in Saudi Arabia.

BACKGROUND: The appropriate use of broad-spectrum antibiotics, including appropriate de-escalation, is essential to reduce the emergence of antibiotic resistance. In surgical floors antibiotics are prescribed for prophylaxis (mostly, single dose), empirical treatment (started if infection is suspected till bacteria are identified with its sensitivity to antibiotics), or treatment of well-defined infection of previously isolated bacteria with its sensitivity to antibiotics. In this study, we aimed to evaluate the use of broad-spectrum antibiotics based on requests for cultures and de-escalation based on sensitivity results of culture tests at tertiary care hospital. METHOD: A retrospective cohort study was conducted to evaluate the utilization of broad-spectrum antibiotics on surgical floors at a tertiary care center in Jeddah, Saudi Arabia. Patients who are admitted to surgical floors were included if they received any of three broad-spectrum antibiotics (piperacillin-tazobactam, imipenem-cilastatin or meropenem) from 1 June 2014 to 31 August 2014. Data were collected on whether culture and sensitivity test requests were made within 24h of starting antibiotics, the duration of antibiotic therapy and the number of days to de-escalation after receiving culture and sensitivity results. RESULTS: Of the 163 patients who received broad-spectrum antibiotics, culture tests were requested in 112. Before receiving culture results, one patient was discharged and one died. The results of culture tests justified continuation of broad-spectrum antibiotics in only 22 patients, whereas 24 showed no microbial growth in any culture. De-escalation was delayed >24h after culture results became available in 33 out of 64 eligible patients. On the other hand, 51 patients continued receiving broad spectrum antibiotics without any culture test during the whole treatment course. CONCLUSION: The use of broad-spectrum antibiotics in surgical floors at a tertiary care hospital in Saudi Arabia was largely unjustified by culture-test result. Interventions are needed to enforce culture and sensitivity test requests within 24h of starting the broad spectrum antibiotics therapy with further follow up to ensure appropriate de-escalation and discontinuation whenever indicated.

A new accurate method for predicting lithium clearance and daily dosage requirements in adult psychiatric patients.

OBJECTIVE: The present study aimed to derive new equations for estimating lithium clearance and daily dosage requirements needed to achieve an intended lithium serum level for adult psychiatric inpatients and outpatients. METHODS: Data were retrospectively collected from 60 adult psychiatric patients (34 males and 26 females, aged between 18-80 years) in both inpatient and outpatient settings. All variables that might affect lithium clearance and/or lithium serum concentration were included and analyzed by stepwise multiple linear regression to produce equations describing lithium clearance and daily dosage requirements for these patients. The validation of the developed equations was performed by application to another 60 psychiatric subjects in both the inpatient and outpatient settings. The bias and accuracy of the new methods were also compared to those set forth by the empirical method and the a priori methods developed by Zetin, Pepin, Jermain and Terao and colleagues. RESULTS: The following prediction equations for lithium clearance (CL(Li)) were obtained: CL(Li) (inpatients) = 0.932 + 0.185CL(Cr) and CL(Li) (outpatients) = 1.021 + 0.141CL(Cr). The equations derived for daily dosage requirements were: daily dose (inpatients, mg) = 350.15 + 289.92 (desired lithium level, mmol/L) + 0.84 (weight, kg) - 1.76 (age, years) + 34.43 [tricyclic antidepressant (TCA), yes = 1, no = 0] + 62.1(CL(Cr), L/h) + 13.1 [blood urea nitrogen (BUN), mmol/L] + 40.9 (sex, male = 1, female = 0) and daily dose (outpatients, mg) = 784.92 + 530.22 (desired lithium level, mmol/L) + 8.61 (weight, kg) - 12.09 (age, years) - 11.14 (TCA, yes = 1, no = 0) - 7.63 (CL(Cr), L/h) - 42.62 (BUN, mmol/L) - 23.43 (sex, male = 1, female = 0). In the present method, the prediction error for clearance was 10.31% and 6.62% for inpatients and outpatients, respectively, and the prediction error for daily dosage requirements was 3.96% and 2.95% for inpatients and outpatients, respectively. CONCLUSIONS: Compared to previously reported methods, the present method proved to be accurate and can be safely used for the prediction of lithium clearance and daily dosage requirements in psychiatric inpatients and outpatients.