Using Bibliometric Big Data to Analyze Faculty Research Productivity in Health Policy and Management

Bibliometric big data and social media tools provide new opportunities to aggregate and analyze researchers' scholarly impact. The purpose of the current paper is to describe the process and results we obtained after aggregating a list of public Google Scholar profiles representing researchers in Health Policy and Management or closely-related disciplines. We extracted publication and citation data on 191 researchers affiliated with health administration programs in the U.S. With these data, we created a publicly available listing of faculty that includes each person's name, affiliation, year of first citation, total citations, h-index, and i-10 index. The median of total citations per individual faculty member was 700, while the maximum was 46,363. The median h-index was 13, while the maximum was 91. We plan to update these statistics and add new faculty to our public listing as new Google Scholar profiles are created by faculty members in the field. This listing provides a resource for students and faculty in our discipline to easily compare productivity and publication records of faculty members in their own and other departments. Similarly, this listing provides a resource for faculty, including department chairs and deans, who desire discipline-specific context for promotion and tenure processes

Designing a Personalized Health Risk Communication Website to Motivate User Attention and Systematic Processing

A web-based diabetes “risk calculator” is being developed and evaluated to determine the impact of personalized risk estimates and interactive feedback on user attention and systematic information processing. Preliminary experiments that randomized participants to two different health websites suggested that a risk calculator with personalized risk estimates did not increase (and may have decreased) systematic processing, focused immersion and information seeking. We describe a series of think aloud user studies which were conducted to provide a qualitative evaluation of the experimental protocol and explore alternate explanations for these unexpected findings. User study results suggested that the prior findings may have been driven by a lack of perceived novelty of the risk information, selective attention, and an expectation of personalization in both experimental conditions. Findings are consistent with satisficing in information search and have implications for the design of health information and future experiments that evaluate these types of interventions

Not only teachers: What do health administration faculty members do?

Researchers have long been interested in how university faculty allocate their time between professional tasks. This study uses multiple years of Health Administration (HA) faculty survey data to examine how work activity has changed over time, and how work activity relates to faculty rank and the type of school in which a faculty member is employed. We report on faculty time allocation to research, teaching, and administration by survey year, faculty rank, and type of school. We also examine factors related to faculty's status as a principal investigator, teaching load, and research funding. On average, HA faculty spent 43% of their time teaching, 31% doing research, 20% in administrative activities, and 5% in other activities. Full professors spent significantly less time teaching, had lighter teaching loads, and spent more time on administration than other faculty. Faculty in schools of health professions, business, and other schools spent more time in teaching and had lower research funding expectations than faculty in schools of public health and medicine. These findings may help faculty identify jobs that best align with their interests and benchmark their work against industry norms. These findings may also help administrators in HA programs set appropriate expectations for their faculty

Electronic Health Record Availability and Anxiety Treatment in Office Based Practices

Objective: This study compared the probability of receiving anxiety treatment during a physician visit to primary care practices with and without an electronic health record (EHR). Methods: The 2007–2010 National Ambulatory Medical Care Survey was used to identify visits for anxiety (N=290). The outcome was receipt of anxiety treatment. The independent variable was the presence of a fully functioning EHR. Logistic regression was used to conduct the analysis. Results: Patients who were seen in practices with a fully functioning EHR had lower odds of being offered antianxiety medication (adjusted odds ratio [AOR]=.37, 95% confidence interval [CI]=.15–.90, p=.028), mental health counseling (AOR=.43, CI=.18–1.04, p=.061), and any anxiety treatment (AOR=.40, CI=.15–1.05, p=.062) compared with patients at practices without a fully functioning EHR. Conclusions: EHRs may have a negative impact on the delivery of care for anxiety during primary care visits. Future studies should monitor the impact of EHRs on delivery and quality of care

Factors Related to User Ratings and User Downloads of Mobile Apps for Maternal and Infant Health: Cross-Sectional Study

Background: Mobile health apps related to maternal and infant health (MIH) are prevalent and frequently used. Some of these apps are extremely popular and have been downloaded over 5 million times. However, the understanding of user behavior and user adoption of these apps based on consumer preferences for different app features and categories is limited. Objective: This study aimed to examine the relationship between MIH app characteristics and users’ perceived satisfaction and intent to use. Methods: The associations between app characteristics, ratings, and downloads were assessed in a sample of MIH apps designed to provide health education or decision-making support to pregnant women or parents and caregivers of infants. Multivariable linear regression was used to assess the relationship between app characteristics and user ratings, and ordinal logistic regression was used to assess the relationship between app characteristics and user downloads. Results: The analyses of user ratings and downloads included 421 and 213 apps, respectively. The average user rating was 3.79 out of 5. Compared with the Apple App Store, the Google Play Store was associated with high user ratings (beta=.33; P =.005). Apps with higher standardized user ratings (beta=.80; P <.001), in-app purchases (beta=1.12; P =.002), and in-app advertisements (beta=.64; P =.02) were more frequently downloaded. Having a health care organization developer as part of the development team was neither associated with user ratings (beta=−.20; P =.06) nor downloads (beta=−.14; P =.63). Conclusions: A majority of MIH apps are developed by non–health care organizations, which could raise concern about the accuracy and trustworthiness of in-app information. These findings could benefit app developers in designing better apps and could help inform marketing and development strategies. Further work is needed to evaluate the clinical accuracy of information provided within the apps. [JMIR Mhealth Uhealth 2020;8(1):e15663

Clinical perspectives on hospitals’ role in the opioid epidemic

Policymakers, legislators, and clinicians have raised concerns that hospital-based clinicians may be incentivized to inappropriately prescribe and administer opioids when addressing pain care needs of their patients, thus potentially contributing to the ongoing opioid epidemic in the United States. Given the need to involve all healthcare settings, including hospitals, in joint efforts to curb the opioid epidemic, it is essential to understand if clinicians perceive hospitals as contributors to the problem. Therefore, we examined clinical perspectives on the role of hospitals in the opioid epidemic

Analgesic Management of Pain in Elite Athletes: A Systematic Review

Objective: To identify the prevalence, frequency of use, and effects of analgesic pain management strategies used in elite athletes. Design: Systematic literature review. Data Sources: Six databases: Ovid/Medline, SPORTDiscus, CINAHL, Embase, Cochrane Library, and Scopus. Eligibility Criteria for Selecting Studies: Empirical studies involving elite athletes and focused on the use or effects of medications used for pain or painful injury. Studies involving recreational sportspeople or those that undertake general exercise were excluded. Main Results: Of 70 articles found, the majority examined the frequency with which elite athletes use pain medications, including nonsteroidal anti-inflammatory drugs (NSAIDs), corticosteroids, anesthetics, and opioids. A smaller set of studies assessed the effect of medications on outcomes such as pain, function, and adverse effects. Oral NSAIDs are reported to be the most common medication, being used in some international sporting events by over 50% of athletes. Studies examining the effects of pain medications on elite athletes typically involved small samples and lacked control groups against which treated athletes were compared. Conclusions: Existing empirical research does not provide a sufficient body of evidence to guide athletes and healthcare professionals in making analgesic medication treatment decisions. Based on the relatively robust evidence regarding the widespread use of NSAIDs, clinicians and policymakers should carefully assess their current recommendations for NSAID use and adhere to a more unified consensus-based strategy for multidisciplinary pain management in elite athletes. In the future, we hope to see more rigorous, prospective studies of various pain management strategies in elite athletes, thus enabling a shift from consensus-based recommendations to evidence-based recommendations

Workplace incivility experienced by Health Administration faculty

Workplace incivility is low-intensity, nonspecific, discourteous behavior towards others and may negatively affect employee and organizational outcomes. This exploratory study sought to examine the prevalence of and factors related to experiencing several different types of workplace incivility using a national sample of Health Administration full-time faculty members in the United States. We found that 27–36% of respondents have experienced at least one type of uncivil behavior from students, coworkers, or supervisors. Further, 4–9% of faculty respondents experience such incidents frequently. Faculty respondents who experienced workplace incivility were significantly more likely to report lower job satisfaction and indicated an intention to leave their position within the next three years. Academic leaders should work to foster an environment where incivility towards others is actively discouraged, as it may contribute to dissatisfaction and turnover

The Effect of EHR-Integrated Patient Reported Outcomes on Satisfaction with Chronic Pain Care

Objective Given its complexity, chronic noncancer pain presents an opportunity to use health information technology (IT) to improve care experiences. The objective of this study was to assess whether integrating patient-reported outcomes (PRO) data in an electronic health record (EHR) affects providers and patient satisfaction with chronic noncancer pain care. Study Design We conducted a pragmatic cluster randomized trial involving four family medicine clinics. Methods We enrolled primary care providers (PCPs) and their patients with chronic noncancer pain. In the first seven months (education phase), PCPs in intervention practices received education on how to use PROs for pain care. In the second seven months (PRO phase), patients in intervention practices reported pain-related outcomes upon arrival at their visits. PROs were immediately reported to PCPs through the EHR. Control group PCPs provided usual care. We compared intervention and control practices in terms of provider and patient satisfaction with care. Results During the education phase, patients’ mean ratings of their visits did not differ between control and intervention (9.33 vs. 9.08, p=0.20). During the PRO phase, patients’ mean ratings did not differ between control and intervention (9.28 vs 9.01, p=0.20). Similarly, there were no differences between the intervention and control groups in terms of provider satisfaction. Conclusion Delivering EHR-integrated PROs did not consistently improve patient or provider satisfaction. Positively, we found no evidence that the PRO tools negatively affected satisfaction. Future studies and technological innovations are needed to translate point-of-care health IT tools to improvements in patient and provider experiences