Jeffery L. Belden

Information needs and information-seeking behaviour analysis of primary care physicians and nurses: a literature review

BACKGROUND The increase in the adoption of electronic health records (EHR) has contributed to physicians and nurses experiencing information overload. To address the problem of information overload, an assessment of the information needs of physicians and nurses will assist in understanding what they view as useful information to make patient care more efficient. OBJECTIVE To analyse studies that assessed the information needs and information-seeking behaviour of physicians and nurses in a primary care setting to develop a better understanding of what information to present to physicians when they making clinical decisions. METHOD A literature review of studies was conducted with a comprehensive search in PubMed, cinahl, scopus, as well as examination of references from relevant papers and hand-searched articles to identify articles applicable to this review. RESULTS Of the papers reviewed the most common information needs found among physicians and nurses were related to diagnoses, drug(s) and treatment/therapy. Colleagues remain a preferred information source among physicians and nurses; however, a rise in Internet usage is apparent. CONCLUSION Physicians and nurses need access to the Internet and job-specific resources to find practitioner-oriented information. In addition, effective usage of resources is important for improving patient care.

A Diabetes Dashboard and Physician Efficiency and Accuracy in Accessing Data Needed for High-Quality Diabetes Care

PURPOSE We compared use of a new diabetes dashboard screen with use of a conventional approach of viewing multiple electronic health record (EHR) screens to find data needed for ambulatory diabetes care. METHODS We performed a usability study, including a quantitative time study and qualitative analysis of information-seeking behaviors. While being recorded with Morae Recorder software and “think-aloud” interview methods, 10 primary care physicians first searched their EHR for 10 diabetes data elements using a conventional approach for a simulated patient, and then using a new diabetes dashboard for another. We measured time, number of mouse clicks, and accuracy. Two coders analyzed think-aloud and interview data using grounded theory methodology. RESULTS The mean time needed to find all data elements was 5.5 minutes using the conventional approach vs 1.3 minutes using the diabetes dashboard (P <.001). Physicians correctly identified 94% of the data requested using the conventional method, vs 100% with the dashboard (P <.01). The mean number of mouse clicks was 60 for conventional searching vs 3 clicks with the diabetes dashboard (P <.001). A common theme was that in everyday practice, if physicians had to spend too much time searching for data, they would either continue without it or order a test again. CONCLUSIONS Using a patient-specific diabetes dashboard improves both the efficiency and accuracy of acquiring data needed for high-quality diabetes care. Usability analysis tools can provide important insights into the value of optimizing physician use of health information technologies.

Issues and questions to consider in implementing secure electronic patient–provider web portal communications systems

PURPOSE Patients are increasingly interested in using Internet-based technologies to communicate with their providers, schedule clinic visits, request medication refills, and view their medical records electronically. However, healthcare organizations face significant challenges in providing such highly personal and sensitive communication in an effective and user-friendly manner. METHODS Based on the literature and our experience in providing a secure web-based patient-provider communication portal in primary care clinics, a framework was developed that identifies key issues and questions to consider in implementing secure electronic patient-provider communications systems. RESULTS The framework serves to categorize the many lessons learned from our implementation process and the specific issues and questions healthcare organizations need to consider in implementing such systems related to seven areas: strategic fit and priority; selection process & implementation team; integration into communications and workflows; HIPAA issues & clinic policies; systems implementation & training; marketing & enrollment; on-going performance monitoring. CONCLUSION The framework provides a useful guide for organizations looking to implement secure electronic patient-provider communication systems.

Health information needs, sources, and barriers of primary care patients to achieve patient-centered care: A literature review

To synthesize findings from previous studies assessing information needs of primary care patients on the Internet and other information sources in a primary care setting. A systematic review of studies was conducted with a comprehensive search in multiple databases including OVID MEDLINE, CINAHL, and Scopus. The most common information needs among patients were information about an illness or medical condition and treatment methods, while the most common information sources were the Internet and patients’ physicians. Overall, patients tend to prefer the Internet for the ease of access to information, while they trust their physicians more for their clinical expertise and experience. Barriers to information access via the Internet include the following: socio-demographic variables such as age, ethnicity, income, education, and occupation; information search skills; and reliability of health information. Conclusion: Further research is warranted to assess how to create accurate and reliable health information sources for both Internet and non-Internet users.

Physician Information Needs and Electronic Health Records (EHRs): Time to Reengineer the Clinic Note

Background: Primary care physicians face cognitive overload daily, perhaps exacerbated by the form of electronic health record documentation. We examined physician information needs to prepare for clinic visits, focusing on past clinic progress notes. Methods: This study used cognitive task analysis with 16 primary care physicians in the scenario of preparing for office visits. Physicians reviewed simulated acute and chronic care visit notes. We collected field notes and document highlighting and review, and we audio-recorded cognitive interview while on task, with subsequent thematic qualitative analysis. Member checks included the presentation of findings to the interviewed physicians and their faculty peers. Results: The Assessment and Plan section was most important and usually reviewed first. The History of the Present Illness section could provide supporting information, especially if in narrative form. Physicians expressed frustration with the Review of Systems section, lamenting that the forces driving note construction did not match their information needs. Repetition of information contained in other parts of the chart (eg, medication lists) was identified as a source of note clutter. A workflow that included a patient summary dashboard made some elements of past notes redundant and therefore a source of clutter. Conclusions: Current ambulatory progress notes present more information to the physician than necessary and in an antiquated format. It is time to reengineer the clinic progress note to match the workflow and information needs of its primary consumer.

Addressing human computer interaction issues of electronic health record in clinical encounters

Electronic Health Records (EHRs) are known to reduce medical errors and store comprehensive patient information, and they also impact the physician-patient interaction during clinical encounters. This study reviewed the literature to (1) identify the most common challenges to patient-physician relations while using an EHR during a clinical visit, (2) discuss limitations of the research methodologies employed, and (3) suggest future research directions related to addressing human computer interaction issues when physicians use an EHR in clinical encounters.

How Does Learnability of Primary Care Resident Physicians Increase After Seven Months of Using an Electronic Health Record? A Longitudinal Study

Background Electronic health records (EHRs) with poor usability present steep learning curves for new resident physicians, who are already overwhelmed in learning a new specialty. This may lead to error-prone use of EHRs in medical practice by new resident physicians. Objective The study goal was to determine learnability gaps between expert and novice primary care resident physician groups by comparing performance measures when using EHRs. Methods We compared performance measures after two rounds of learnability tests (November 12, 2013 to December 19, 2013; February 12, 2014 to April 22, 2014). In Rounds 1 and 2, 10 novice and 6 expert physicians, and 8 novice and 4 expert physicians participated, respectively. Laboratory-based learnability tests using video analyses were conducted to analyze learnability gaps between novice and expert physicians. Physicians completed 19 tasks, using a think-aloud strategy, based on an artificial but typical patient visit note. We used quantitative performance measures (percent task success, time-on-task, mouse activities), a system usability scale (SUS), and qualitative narrative feedback during the participant debriefing session. Results There was a 6-percentage-point increase in novice physicians’ task success rate (Round 1: 92%, 95% CI 87-99; Round 2: 98%, 95% CI 95-100) and a 7-percentage-point increase in expert physicians’ task success rate (Round 1: 90%, 95% CI 83-97; Round 2: 97%, 95% CI 93-100); a 10% decrease in novice physicians’ time-on-task (Round 1: 44s, 95% CI 32-62; Round 2: 40s, 95% CI 27-59) and 21% decrease in expert physicians’ time-on-task (Round 1: 39s, 95% CI 29-51; Round 2: 31s, 95% CI 22-42); a 20% decrease in novice physicians mouse clicks (Round 1: 8 clicks, 95% CI 6-13; Round 2: 7 clicks, 95% CI 4-12) and 39% decrease in expert physicians’ mouse clicks (Round 1: 8 clicks, 95% CI 5-11; Round 2: 3 clicks, 95% CI 1-10); a 14% increase in novice mouse movements (Round 1: 9247 pixels, 95% CI 6404-13,353; Round 2: 7991 pixels, 95% CI 5350-11,936) and 14% decrease in expert physicians’ mouse movements (Round 1: 7325 pixels, 95% CI 5237-10,247; Round 2: 6329 pixels, 95% CI 4299-9317). The SUS measure of overall usability demonstrated only minimal change in the novice group (Round 1: 69, high marginal; Round 2: 68, high marginal) and no change in the expert group (74; high marginal for both rounds). Conclusions This study found differences in novice and expert physicians’ performance, demonstrating that physicians’ proficiency increased with EHR experience. Our study may serve as a guideline to improve current EHR training programs. Future directions include identifying usability issues faced by physicians when using EHRs, through a more granular task analysis to recognize subtle usability issues that would otherwise be overlooked.

Toward a patient-centered ambulatory after-visit summary: Identifying primary care patients’ information needs

ABSTRACT Objective: The purpose of this study was to determine the information needs of primary care patients as they review clinic visit notes to inform information that should be contained in an after-visit summary (AVS).Method: We collected data from 15 patients with an acute illness and 14 patients with a chronic disease using semi-structured interviews. The acute patients reviewed seven major sections, and chronic patients reviewed eight major sections of a simulated, but realistic visit note to identify relevant information needs for their AVS. Results: Patients in the acute illness group identified the Plan, Assessment and History of Present Illness the most as important note sections, while patients in the chronic care group identified Significant Lab Data, Plan, and Assessment the most as important note sections. Discussion: This study was able to identify primary care patients’ information needs after clinic visit. Primary care patients have information needs pertaining to diagnosis and treatment, which may be the reason why both patient groups identified Plan and Assessment as important note sections. Future research should also develop and assess an AVS based on the information gathered in this study and evaluate its usefulness among primary care patients. Practice Implications: The results of this study can be used to inform the development of an after-visit summary that assists patients to fully understand their treatment plan, which may improve treatment adherence.

The Patient in Patient Safety: Starting the Conversation

Through a variety of activities, patients take active roles in their health, which may directly or indirectly influence safety and quality. We provide brief overviews of perspectives from researchers and practitioners conducting work on patient-centered topics to highlight the need for awareness and research on the role of the patient and informal caregiver in patient safety.

Patient Judgments about Hypertension Control: The Role of Variability, Trends, and Outliers in Blood Pressure Data (Preprint)

Background Uncontrolled hypertension is a significant health problem in the United States, even though multiple drugs exist to effectively treat this chronic disease. Objective As part of a larger project developing data visualizations to support shared decision making about hypertension treatment, we conducted a series of studies to understand how perceptions of hypertension control were impacted by data variations inherent in the visualization of blood pressure (BP) data. Methods In 3 Web studies, participants (internet sample of patients with hypertension) reviewed a series of vignettes depicting patients with hypertension; each vignette included a graph of a patient’s BP. We examined how data visualizations that varied by BP mean and SD (Study 1), the pattern of change over time (Study 2), and the presence of extreme values (Study 3) affected patients’ judgments about hypertension control and the need for a medication change. Results Participants’ judgments about hypertension control were significantly influenced by BP mean and SD (Study 1), data trends (whether BP was increasing or decreasing over time—Study 2), and extreme values (ie, outliers—Study 3). Conclusions Patients’ judgment about hypertension control is influenced both by factors that are important predictors of hypertension related-health outcomes (eg, BP mean) and factors that are not (eg, variability and outliers). This study highlights the importance of developing data visualizations that direct attention toward clinically meaningful information.