scholarly journals Health Information Technology and Doctor Shopping: A Systematic Review

Healthcare ◽  
2020 ◽  
Vol 8 (3) ◽  
pp. 306
Author(s):  
Clemens Scott Kruse ◽  
Brady Kindred ◽  
Shaneel Brar ◽  
Guillermo Gutierrez ◽  
Kaleigh Cormier

Doctor shopping is the practice of visiting multiple physicians to obtain multiple prescriptions. Health information technology (HIT) allows healthcare providers and patients to leverage records or shared information to improve effective care. Our research objective was to determine how HIT is being leveraged to control for doctor shopping. We analyzed articles that covered a 10-year time period from four databases and reported using preferred reporting items for systematic reviews and meta-analysis (PRISMA). We compared intervention, study design, and bias, in addition to showing intervention interactions with facilitators, barriers, and medical outcomes. From 42 articles published from six countries, we identified seven interventions, five facilitator themes with two individual observations, three barrier themes with six individual observations, and two medical outcome themes with four individual observations. Multiple HIT mechanisms exist to control for doctor shopping. Some are associated with a decrease in overdose mortality, but access is not universal or compulsory, and data sharing is sporadic. Because shoppers travel hundreds of miles in pursuit of prescription drugs, data sharing should be an imperative. Research supports leveraging HIT to control doctor shopping, yet without robust data sharing agreements, the efforts of the system are limited to the efforts of the entity with the least number of barriers to their goal. Shoppers will seek out and exploit that organization that does not require participation or checking of prescription drug monitoring programs (PDMP), and the research shows that they will drive great distances to exploit this weakest link.

2018 ◽  
Vol 25 (1) ◽  
pp. 7-13 ◽  
Author(s):  
Mark A. Sujan

Health information technology (IT) offers exciting opportunities for providing novel services to patients, and for improving the quality and safety of care. Many healthcare professionals are already improving services through the development of numerous bottom-up local health IT innovations. Such innovations from the ground up are to be welcomed, but healthcare providers are struggling to develop processes for managing the risks that come with the introduction of health IT into clinical processes. I argue that too often the main strategy appears to be one of organisational ignorance. This puts patients at risk, and it threatens the successful adoption of health IT. I recommend that healthcare providers focus on strengthening their processes for organisational learning, promoting proactive risk management strategies, and making risk management decisions transparent and explicit.


Author(s):  
Chenzhang Bao ◽  
Indranil R. Bardhan

Under a traditional fee-for-service payment model, healthcare providers typically compromise the quality of care in order to reduce costs. Drawing on data from a national sample of accountable care organizations (ACOs), we study whether financial incentives offered under the Affordable Care Act led to fundamental changes in care delivery. Our research suggests that effective use of health information technology (IT) by ACO providers is critical in balancing competing goals of quality and efficiency. Unlike hospitals that did not participate in value-based care initiatives, ACOs were able to generate better quality outcomes while also improving overall efficiency. Furthermore, ACO providers that used health IT effectively demonstrated better patient health outcomes due to greater information integration with other providers. In other words, ACOs created value by not only reducing the cost of care but also improving patient outcomes simultaneously. Our research provides a roadmap for practitioners to succeed in a value-based healthcare environment and for policy makers to design better incentives to promote interorganizational information sharing across providers. Our findings suggest that healthcare policy needs to incorporate appropriate incentives to foster effective IT use for care coordination between healthcare providers.


2021 ◽  
Vol 50 (1) ◽  
pp. 634-634
Author(s):  
Svetlana Herasevich ◽  
Kirill Lipatov ◽  
Yuliya Pinevich ◽  
Heidi Lindroth ◽  
Aysun Tekin ◽  
...  

2017 ◽  
Vol 24 (5) ◽  
pp. 1024-1035 ◽  
Author(s):  
Elizabeth M Heitkemper ◽  
Lena Mamykina ◽  
Jasmine Travers ◽  
Arlene Smaldone

Abstract Objective: The purpose of this systematic review and meta-analysis was to examine the effect of health information technology (HIT) diabetes self-management education (DSME) interventions on glycemic control in medically underserved patients. Materials and Methods: Following an a priori protocol, 5 databases were searched. Studies were appraised for quality using the Cochrane Risk of Bias assessment. Studies reporting either hemoglobin A1c pre- and post-intervention or its change at 6 or 12 months were eligible for inclusion in the meta-analysis using random effects models. Results: Thirteen studies met the criteria for the systematic review and 10 for the meta-analysis and represent data from 3257 adults with diabetes (mean age 55 years; 66% female; 74% racial/ethnic minorities). Most studies (n = 10) reflected an unclear risk of bias. Interventions varied by HIT type: computer software without Internet (n = 2), cellular/automated telephone (n = 4), Internet-based (n = 4), and telemedicine/telehealth (n = 3). Pooled A1c decreases were found at 6 months (−0.36 (95% CI, −0.53 and −0.19]; I2 = 35.1%, Q = 5.0), with diminishing effect at 12 months (−0.27 [95% CI, −0.49 and −0.04]; I2 = 42.4%, Q = 10.4). Discussion: Findings suggest that medically underserved patients with diabetes achieve glycemic benefit following HIT DSME interventions, with dissipating but significant effects at 12 months. Telemedicine/telehealth interventions were the most successful HIT type because they incorporated interaction with educators similar to in-person DSME. Conclusion: These results are similar to in-person DSME in medically underserved patients, showing that well-designed HIT DSME has the potential to increase access and improve outcomes for this vulnerable group.


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