Understanding Symptom Self-Monitoring Needs Among Postpartum Black Patients: Qualitative Interview Study.

BACKGROUND: Pregnancy-related death is on the rise in the United States, and there are significant disparities in outcomes for Black patients. Most solutions that address pregnancy-related death are hospital based, which rely on patients recognizing symptoms and seeking care from a health system, an area where many Black patients have reported experiencing bias. There is a need for patient-centered solutions that support and encourage postpartum people to seek care for severe symptoms. OBJECTIVE: We aimed to determine the design needs for a mobile health (mHealth) patient-reported outcomes and decision-support system to assist Black patients in assessing when to seek medical care for severe postpartum symptoms. These findings may also support different perinatal populations and minoritized groups in other clinical settings. METHODS: We conducted semistructured interviews with 36 participants-15 (42%) obstetric health professionals, 10 (28%) mental health professionals, and 11 (31%) postpartum Black patients. The interview questions included the following: current practices for symptom monitoring, barriers to and facilitators of effective monitoring, and design requirements for an mHealth system that supports monitoring for severe symptoms. Interviews were audio recorded and transcribed. We analyzed transcripts using directed content analysis and the constant comparative process. We adopted a thematic analysis approach, eliciting themes deductively using conceptual frameworks from health behavior and human information processing, while also allowing new themes to inductively arise from the data. Our team involved multiple coders to promote reliability through a consensus process. RESULTS: Our findings revealed considerations related to relevant symptom inputs for postpartum support, the drivers that may affect symptom processing, and the design needs for symptom self-monitoring and patient decision-support interventions. First, participants viewed both somatic and psychological symptom inputs as important to capture. Second, self-perception; previous experience; sociocultural, financial, environmental, and health systems-level factors were all perceived to impact how patients processed, made decisions about, and acted upon their symptoms. Third, participants provided recommendations for system design that involved allowing for user control and freedom. They also stressed the importance of careful wording of decision-support messages, such that messages that recommend them to seek care convey urgency but do not provoke anxiety. Alternatively, messages that recommend they may not need care should make the patient feel heard and reassured. CONCLUSIONS: Future solutions for postpartum symptom monitoring should include both somatic and psychological symptoms, which may require combining existing measures to elicit symptoms in a nuanced manner. Solutions should allow for varied, safe interactions to suit individual needs. While mHealth or other apps may not be able to address all the social or financial needs of a person, they may at least provide information, so that patients can easily access other supportive resources.

Patient Experiences with and Preferences for Telemedicine Relative to In-Person Care During the COVID-19 Pandemic.

Introduction: Although telemedicine emerged during the COVID-19 pandemic as a critical mode of health care delivery, there may be differences in the perceived ease of patient-clinician communication and quality of care for telemedicine versus in-person visits, as well as variation in perceptions across patient subgroups. We examined patients' experiences with and preferences for telemedicine relative to in-person care, based on their most recent visit. Methods: We conducted a survey of 2,668 adults in a large academic health care system in November 2021. The survey captured patients' reasons for their most recent visit, perceptions on patient-clinician communication and quality of care, and attitudes toward telemedicine versus in-person care. Results: Among respondents, 552 (21%) had a telemedicine visit. Patients with telemedicine and in-person visits had similar agreement on ease of patient-clinician communication and perceived quality of the visit on average. However, for individuals 65 years of age or older, men, and those not needing urgent care, telemedicine was associated with worse perceptions of patient-clinician communication (65 years of age or older: adjusted odds ratio [aOR], 0.51; 95% confidence interval [CI], 0.31-0.85; men: aOR, 0.50; 95% CI, 0.31-0.81; urgent care: aOR 0.67; 95% CI, 0.49-0.91) and lower perceived quality (65 years of age or older, aOR 0.51; 95% CI, 0.30-0.86; men: 0.51; 95% CI, 0.32-0.83; urgent care: aOR 0.68; 95% CI, 0.49-0.93). Conclusion: Patient-perceived quality of care and patient-clinician communication were similar for telemedicine and in-person visits overall. However, among men, older adults, and those not seeking urgent care, patients using telemedicine had lower perceptions of patient-clinician communication and quality.

Telemedicine Impact on the Patient-Provider Relationship in Primary Care During the COVID-19 Pandemic.

BACKGROUND: The COVID-19 pandemic has necessitated a rapid uptake of telemedicine in primary care requiring both patients and providers to learn how to navigate care remotely. This change can impact the patient-provider relationship that often defines care, especially in primary care. OBJECTIVE: This study aims to provide insight into the experiences of patients and providers with telemedicine during the pandemic, and the impact it had on their relationship. RESEARCH DESIGN: A qualitative study using thematic analysis of semistructured interviews. SUBJECTS: Primary care providers (n=21) and adult patients (n=65) with chronic disease across primary care practices in 3 National Patient-centered Clinical Research Network sites in New York City, North Carolina, and Florida. MEASURES: Experiences with telemedicine during the COVID-19 pandemic in primary care. Codes related to the patient-provider relationship were analyzed for this study. RESULTS: A recurrent theme was the challenge telemedicine posed on rapport building and alliance. Patients felt that telemedicine affected provider's attentiveness in varying ways, whereas providers appreciated that telemedicine provided unique insight into patients' lives and living situations. Finally, both patients and providers described communication challenges. CONCLUSIONS: Telemedicine has altered structure and process aspects of primary health care such as the physical spaces of encounters, creating a new setting to which both patients and providers must adjust. It is important to recognize the opportunities and limits that this new technology has to help providers maintain the type of one-on-one attention that patients expect and that contributes to relationship building.

Perspectives of Physicians with Experience in Nursing Home Care on Telehealth Use During the COVID-19 Public Health Emergency.

BACKGROUND: Despite expanded access to telehealth services for Medicare beneficiaries in nursing homes (NHs) during the COVID-19 public health emergency, information on physicians' perspectives on the feasibility and challenges of telehealth provision for NH residents is lacking. OBJECTIVE: To examine physicians' perspectives on the appropriateness and challenges of providing telehealth in NHs. PARTICIPANTS: Medical directors or attending physicians in NHs. APPROACH: We conducted 35 semistructured interviews with members of the American Medical Directors Association from January 18 through January 29, 2021. Outcomes of the thematic analysis reflected perspectives of physicians experienced in NH care on telehealth use. MAIN MEASURES: The extent to which participants used telehealth in NHs, the perceived value of telehealth for NH residents, and barriers to telehealth provision. KEY RESULTS: Participants included 7 (20.0%) internists, 8 (22.9%) family physicians, and 18 (51.4%) geriatricians. Five common themes emerged: (1) direct care is needed to adequately care for residents in NHs; (2) telehealth may allow physicians to reach NH residents more flexibly during offsite hours and other scenarios when physicians cannot easily reach patients; (3) NH staff and other organizational resources are critical to the success of telehealth, but staff time is a major barrier to telehealth provision; (4) appropriateness of telehealth in NHs may be limited to certain resident populations and/or services; (5) conflicting views about whether telehealth use will be sustained over time in NHs. Subthemes included the role of resident-physician relationships in facilitating telehealth and the appropriateness of telehealth for residents with cognitive impairment. CONCLUSIONS: Participants had mixed views on the effectiveness of telehealth in NHs. Staff resources to facilitate telehealth and the limitations of telehealth for NH residents were the most raised issues. These findings suggest that physicians in NHs may not view telehealth as a suitable substitute for most in-person services.

The Telemedicine Experience in Primary Care Practices in the United States: Insights From Practice Leaders.

PURPOSE: The need to rapidly implement telemedicine in primary care during the coronavirus disease 2019 (COVID-19) pandemic was addressed differently by various practices. Using qualitative data from semistructured interviews with primary care practice leaders, we aimed to report commonly shared experiences and unique perspectives regarding telemedicine implementation and evolution/maturation since March 2020. METHODS: We administered a semistructured, 25-minute, virtual interview with 25 primary care practice leaders from 2 health systems in 2 states (New York and Florida) included in PCORnet, the Patient-Centered Outcomes Research Institute clinical research network. Questions were guided by 3 frameworks (health information technology evaluation, access to care, and health information technology life cycle) and involved practice leaders' perspectives on the process of telemedicine implementation in their practice, with a specific focus on the process of maturation and facilitators/barriers. Two researchers conducted inductive coding of qualitative data open-ended questions to identify common themes. Transcripts were electronically generated by virtual platform software. RESULTS: Twenty-five interviews were administered for practice leaders representing 87 primary care practices in 2 states. We identified the following 4 major themes: (1) the ease of telemedicine adoption depended on both patients' and clinicians' prior experience using virtual health platforms, (2) regulation of telemedicine varied across states and differentially affected the rollout processes, (3) visit triage rules were unclear, and (4) there were positive and negative effects of telemedicine on clinicians and patients. CONCLUSIONS: Practice leaders identified several challenges to telemedicine implementation and highlighted 2 areas, including telemedicine visit triage guidelines and telemedicine-specific staffing and scheduling protocols, for improvement.

Development of a novel instrument to characterize telemedicine programs in primary care.

BACKGROUND: Given the rapid deployment of telemedicine at the onset of the COVID - 19 pandemic, updated assessment methods are needed to study and characterize telemedicine programs. We developed a novel semi - structured survey instrument to systematically describe the characteristics and implementation processes of telemedicine programs in primary care. METHODS: In the context of a larger study aiming to describe telemedicine programs in primary care, a survey was developed in 3 iterative steps: 1) literature review to obtain a list of telemedicine features, facilitators, and barriers; 2) application of three evaluation frameworks; and 3) stakeholder engagement through a 2-stage feedback process. During survey refinement, items were tested against the evaluation frameworks while ensuring it could be completed within 20-25 min. Data reduction techniques were applied to explore opportunity for condensed variables/items. RESULTS: Sixty initially identified telemedicine features were reduced to 32 items / questions after stakeholder feedback. Per the life cycle framework, respondents are asked to report a month in which their telemedicine program reached a steady state, i.e., "maturation". Subsequent questions on telemedicine features are then stratified by telemedicine services offered at the pandemic onset and the reported point of maturation. Several open - ended questions allow for additional telemedicine experiences to be captured. Data reduction techniques revealed no indication for data reduction. CONCLUSION: This 32-item semi-structured survey standardizes the description of primary care telemedicine programs in terms of features as well as maturation process. This tool will facilitate evaluation of and comparisons between telemedicine programs across the United States, particularly those that were deployed at the pandemic onset.

A qualitative analysis of caregiver burden during the recovery process in ambulatory cancer surgery.

PURPOSE: Cancer impacts caregivers as well as patients. Ambulatory oncology surgeries requiring a short hospital stay place additional responsibility on informal caregivers as they help patients navigate their post-operative recovery at home, and determine if symptoms are expected or emergent. Our objective was to explore the experience of informal caregivers during patients' ambulatory cancer surgery and then recovery at home with remote monitoring of symptoms via web-based patient-reported outcomes questionnaire ("Recovery Tracker"). METHODS: Semi-structured interviews were conducted with caregivers from a larger sample participating in a randomized trial of the Recovery Tracker. Thematic analysis was applied to derive key themes and codes via NVivo qualitative analysis software (QSR International Inc.). Recruitment was conducted iteratively to ensure a heterogenous sample and thematic saturation. RESULTS: Twenty-three semi-structured interviews were conducted. Four main themes emerged: (1) Predictability reduced stress among caregivers; (2) Unexpected events caused stress for caregivers; (3) The importance of a caregiver being present during the recovery process; and (4) Caregiver involvement in remote monitoring of symptoms was minimal. CONCLUSION: Caregivers report not being overly burdened by the ambulatory surgery process, but they are very sensitive to any deviations from what they expected to happen. Further research and clinical practice on caregivers in the ambulatory setting should focus on how to set expectations and avoid unexpected events.

Taxonomies for synthesizing the evidence on communicating numbers in health: Goals, format, and structure.

Many people, especially those with low numeracy, are known to have difficulty interpreting and applying quantitative information to health decisions. These difficulties have resulted in a rich body of research about better ways to communicate numbers. Synthesizing this body of research into evidence-based guidance, however, is complicated by inconsistencies in research terminology and researcher goals. In this article, we introduce three taxonomies intended to systematize terminology in the literature, derived from an ongoing systematic literature review. The first taxonomy provides a systematic nomenclature for the outcome measures assessed in the studies, including perceptions, decisions, and actions. The second taxonomy is a nomenclature for the data formats assessed, including numbers (and different formats for numbers) and graphics. The third taxonomy describes the quantitative concepts being conveyed, from the simplest (a single value at a single point in time) to more complex ones (including a risk-benefit trade-off and a trend over time). Finally, we demonstrate how these three taxonomies can be used to resolve ambiguities and apparent contradictions in the literature.

The Impact of Clinical Decision Support Alerts on Clostridioides difficile Testing: A Systematic Review.

BACKGROUND: Several studies have investigated the utility of electronic decision support alerts in diagnostic stewardship for Clostridioides difficile infection (CDI). However, it is unclear if alerts are effective in reducing inappropriate CDI testing and/or CDI rates. The aim of this systematic review was to determine if alerts related to CDI diagnostic stewardship are effective at reducing inappropriate CDI testing volume and CDI rates among hospitalized adult patients. METHODS: We searched Ovid Medline and 5 other databases for original studies evaluating the association between alerts for CDI diagnosis and CDI testing volume and/or CDI rate. Two investigators independently extracted data on study characteristics, study design, alert triggers, cointerventions, and study outcomes. RESULTS: Eleven studies met criteria for inclusion. Studies varied significantly in alert triggers and in study outcomes. Six of 11 studies demonstrated a statistically significant decrease in CDI testing volume, 6 of 6 studies evaluating appropriateness of CDI testing found a significant reduction in the proportion of inappropriate testing, and 4 of 7 studies measuring CDI rate demonstrated a significant decrease in the CDI rate in the postintervention vs preintervention period. The magnitude of the increase in appropriate CDI testing varied, with some studies reporting an increase with minimal clinical significance. CONCLUSIONS: The use of electronic alerts for diagnostic stewardship for C. difficile was associated with reductions in CDI testing, the proportion of inappropriate CDI testing, and rates of CDI in most studies. However, broader concerns related to alerts remain understudied, including unintended adverse consequences and alert fatigue.

A Randomized Controlled Trial Evaluating Electronic Outpatient Symptom Monitoring After Ambulatory Cancer Surgery.

OBJECTIVE: We implemented routine daily electronic monitoring of patient-reported outcomes (PROs) for 10 days after discharge after ambulatory cancer surgery, with alerts to clinical staff for worrying symptoms. We sought to determine whether enhancing this monitoring by adding immediate automated normative feedback to patients regarding expected symptoms would further improve the patient experience. SUMMARY OF BACKGROUND DATA: PRO monitoring reduces symptom severity in cancer patients. In ambulatory cancer surgery, it reduces potentially avoidable urgent care center (UCC) visits, defined as those UCC visits without readmission. METHODS: Patients undergoing ambulatory cancer surgery (n = 2624) were randomized to receive standard PRO monitoring or enhanced feedback. The primary study outcome was UCC visits without readmission within 30 days; secondary outcomes included patient anxiety and nursing utilization. RESULTS: There was no significant difference in the risk of a potentially avoidable UCC visit [1.0% higher in enhanced feedback, 95% confidence interval (CI) -0.2-3.1%; P = 0.12]. There were similarly no significant differences in UCC visits with readmission or readmission overall (P = 0.4 for both). Patients randomized to enhanced feedback demonstrated a quicker reduction in anxiety (P < 0.001) and required 14% (95% CI 8-19%; P < 0.001) and 10% (95% CI 5-16%, P < 0.001) fewer nursing calls over 10 and 30 days postoperatively. CONCLUSIONS: Providing patients with feedback about symptom severity during recovery from ambulatory cancer surgery reduces anxiety and nursing workload without affecting UCC visits or readmissions. These results support wider incorporation of normative feedback in systems for routine PRO monitoring.

Effect of an Electronic Health Record "Nudge" on Opioid Prescribing and Electronic Health Record Keystrokes in Ambulatory Care.

BACKGROUND: Multiple policy initiatives encourage more cautious prescribing of opioids in light of their risks. Electronic health record (EHR) redesign can influence prescriber choices, but some redesigns add to workload. OBJECTIVE: To estimate the effect of an EHR prescribing redesign on both opioid prescribing choices and keystrokes. DESIGN: Quality improvement quasi-experiment, analyzed as interrupted time series. PARTICIPANTS: Adult patients of an academic multispecialty practice and a federally qualified health center (FQHC) who received new prescriptions for short-acting opioids, and their providers. INTERVENTION: In the redesign, new prescriptions of short-acting opioids defaulted to the CDC-recommended minimum for opioid-naïve patients, with no alerts or hard stops, such that 9 keystrokes were required for a guideline-concordant prescription and 24 for a non-concordant prescription. MAIN MEASURES: Proportion of guideline-concordant prescriptions, defined as new prescriptions with a 3-day supply or less, calculated per 2-week period. Number of mouse clicks and keystrokes needed to place prescriptions. KEY RESULTS: Across the 2 sites, 22,113 patients received a new short-acting opioid prescription from 821 providers. Before the intervention, both settings showed secular trends toward smaller-quantity prescriptions. At the academic practice, the intervention was associated with an immediate increase in guideline-concordant prescriptions from an average of 12% to 31% of all prescriptions. At the FQHC, about 44% of prescriptions were concordant at the time of the intervention, which was not associated with an additional significant increase. However, total keystrokes needed to place the concordant prescriptions decreased 62.7% from 3552 in the 6 months before the intervention to 1323 in the 6 months afterwards. CONCLUSIONS: Autocompleting prescription forms with guideline-recommended values was associated with a large increase in guideline concordance in an organization where baseline concordance was low, but not in an organization where it was already high. The redesign markedly reduced the number of keystrokes needed to place orders, with important implications for EHR-related stress. TRIAL REGISTRATION: www.ClinicalTrials.gov protocol 1710018646.

Imprecision and Preferences in Interpretation of Verbal Probabilities in Health: a Systematic Review.

INTRODUCTION: Many health providers and communicators who are concerned that patients will not understand numbers instead use verbal probabilities (e.g., terms such as "rare" or "common") to convey the gist of a health message. OBJECTIVE: To assess patient interpretation of and preferences for verbal probability information in health contexts. METHODS: We conducted a systematic review of literature published through September 2020. Original studies conducted in English with samples representative of lay populations were included if they assessed health-related information and elicited either (a) numerical estimates of verbal probability terms or (b) preferences for verbal vs. quantitative risk information. RESULTS: We identified 33 original studies that referenced 145 verbal probability terms, 45 of which were included in at least two studies and 19 in three or more. Numerical interpretations of each verbal term were extremely variable. For example, average interpretations of the term "rare" ranged from 7 to 21%, and for "common," the range was 34 to 71%. In a subset of 9 studies, lay estimates of verbal probability terms were far higher than the standard interpretations established by the European Commission for drug labels. In 10 of 12 samples where preferences were elicited, most participants preferred numerical information, alone or in combination with verbal labels. CONCLUSION: Numerical interpretation of verbal probabilities is extremely variable and does not correspond well to the numerical probabilities established by expert panels. Most patients appear to prefer quantitative risk information, alone or in combination with verbal labels. Health professionals should be aware that avoiding numeric information to describe risks may not match patient preferences, and that patients interpret verbal risk terms in a highly variable way.

Association Between Residential Neighborhood Social Conditions and Health Care Utilization and Costs.

BACKGROUND: Social factors are important drivers of health. However, it is unclear to what extent neighborhood social conditions are associated with total and preventable health care utilization and costs. OBJECTIVES: To examine the association of neighborhood social conditions with total annual and potentially preventable Medicare costs. RESEARCH DESIGN AND SUBJECTS: Retrospective cohort study. Medicare claims data from 2013 to 2014 linked with neighborhood social conditions at the US census block group level of 2013 for 93,429 Medicare fee-for-service and dually eligible patients. MEASURES: Neighborhood social conditions were measured by Area Deprivation Index at the census block group level, categorized into quintiles. Outcomes included total annual and potentially preventable utilization and costs. RESULTS: After adjustment for demographics and comorbidities, patients with the least disadvantaged social conditions had higher total annual Medicare costs [$427; 95% confidence interval (CI), $200-$655] and similar potentially preventable costs (-$23; 95% CI, -$56 to $10) as compared with patients with the intermediate level social conditions. Patients with the most disadvantaged social conditions had similar total Medicare costs (-$22; 95% CI, -$342 to $298) but higher potentially preventable costs ($53; 95% CI, $1-$104) than patients with the intermediate level social conditions. CONCLUSIONS: Disadvantaged neighborhood conditions are associated with lower total annual Medicare costs but higher potentially preventable costs after controlling for demographic, medical, and other patient characteristics. Socioeconomic barriers may limit access and use of primary care and disease management services, resulting in a higher proportion of their health care costs going to potentially preventable care.

Health Literacy 2030: Is It Time to Redefine the Term?

For decades, health literacy has been used to describe the ability of individuals to locate, interpret, and apply health information to their decisions. The US Department of Health and Human Services has now proposed redefining the term to emphasize the role of society in providing accessible, comprehensible information. This redefinition would reflect a welcome shift to encompass the roles of those who communicate information, not simply those who seek it. However, redefining an accepted term would have serious negative effects on the indexing of the research literature and create difficulties interpreting studies conducted under the previous definition. Therefore, we strongly caution against redefining the accepted term. Instead, we propose introducing a new term-health information fluency-defined as universal effective use of health information. The old term can continue to be used to describe the set of concerns about individual skills, but by promoting the new term, the Department of Health and Human Services can encourage research into creating accurate, accessible health information that people can easily find, understand, and use to inform their decisions.

Identifying sub-phenotypes of acute kidney injury using structured and unstructured electronic health record data with memory networks.

Acute Kidney Injury (AKI) is a common clinical syndrome characterized by the rapid loss of kidney excretory function, which aggravates the clinical severity of other diseases in a large number of hospitalized patients. Accurate early prediction of AKI can enable in-time interventions and treatments. However, AKI is highly heterogeneous, thus identification of AKI sub-phenotypes can lead to an improved understanding of the disease pathophysiology and development of more targeted clinical interventions. This study used a memory network-based deep learning approach to discover AKI sub-phenotypes using structured and unstructured electronic health record (EHR) data of patients before AKI diagnosis. We leveraged a real world critical care EHR corpus including 37,486 ICU stays. Our approach identified three distinct sub-phenotypes: sub-phenotype I is with an average age of 63.03±17.25 years, and is characterized by mild loss of kidney excretory function (Serum Creatinine (SCr) 1.55±0.34 mg/dL, estimated Glomerular Filtration Rate Test (eGFR) 107.65±54.98 mL/min/1.73 m2). These patients are more likely to develop stage I AKI. Sub-phenotype II is with average age 66.81±10.43 years, and was characterized by severe loss of kidney excretory function (SCr 1.96±0.49 mg/dL, eGFR 82.19±55.92 mL/min/1.73 m2). These patients are more likely to develop stage III AKI. Sub-phenotype III is with average age 65.07±11.32 years, and was characterized moderate loss of kidney excretory function and thus more likely to develop stage II AKI (SCr 1.69±0.32 mg/dL, eGFR 93.97±56.53 mL/min/1.73 m2). Both SCr and eGFR are significantly different across the three sub-phenotypes with statistical testing plus postdoc analysis, and the conclusion still holds after age adjustment.

Correction to: Effects of workload, work complexity, and repeated alerts on alert fatigue in a clinical decision support system.

Following publication of the original article [1], the authors reported that the article erroneously stated that Dr. Ancker was affiliated with the Tehran University of Medical Sciences. Dr. Ancker is not affiliated with that institution.

First Opioid Prescription and Subsequent High-Risk Opioid Use: a National Study of Privately Insured and Medicare Advantage Adults.

BACKGROUND: National guidelines make recommendations regarding the initial opioid prescriptions, but most of the supporting evidence is from the initial episode of care, not the first prescription. OBJECTIVE: To examine associations between features of the first opioid prescription and high-risk opioid use in the 18 months following the first prescription. DESIGN: Retrospective cohort study using data from a large commercial insurance claims database for 2011-2014 to identify individuals with no recent use of opioids and follow them for 18 months after the first opioid prescription. PARTICIPANTS: Privately insured patients aged 18-64 and Medicare Advantage patients aged 65 or older who filled a first opioid prescription between 07/01/2011 and 06/30/2013. MAIN OUTCOMES AND MEASURES: High-risk opioid use was measured by having (1) opioid prescriptions overlapping for 7 days or more, (2) opioid and benzodiazepine prescriptions overlapping for 7 days or more, (3) three or more prescribers of opioids, and (4) a daily dosage exceeding 120 morphine milligram equivalents, in each of the six quarters following the first prescription. KEY RESULTS: All three features of the first prescription were strongly associated with high-risk use. For example, among privately insured patients, receiving a long- (vs. short-) acting first opioid was associated with a 16.9-percentage-point increase (95% CI, 14.3-19.5), a daily MME of 50 or more (vs. less than 30) was associated with a 12.5-percentage-point increase (95% CI, 12.1-12.9), and a supply exceeding 7 days (vs. 3 or fewer days) was associated with a 4.8-percentage-point increase (95% CI, 4.5-5.2), in the probability of having a daily dosage of 120 MMEs or more in the long term, compared to a sample mean of 4.2%. Results for the Medicare Advantage patients were similar. CONCLUSIONS: Long-acting formulation, high daily dosage, and longer duration of the first opioid prescription were each associated with increased high-risk use of opioids in the long term.

Navigation in the electronic health record: A review of the safety and usability literature.

OBJECTIVE: Inefficient navigation in electronic health records has been shown to increase users' cognitive load, which may increase potential for errors, reduce efficiency, and increase fatigue. However, navigation has received insufficient recognition and attention in the electronic health record (EHR) literature as an independent construct and contributor to overall usability. Our aims in this literature review were to (1) assess the prevalence of navigation-related topics within the EHR usability and safety research literature, (2) categorize types of navigation actions within the EHR, (3) capture relationships between these navigation actions and usability principles, and (4) collect terms and concepts related to EHR navigation. Our goal was to improve access to navigation-related research in usability. MATERIALS AND METHODS: We applied scoping literature review search methods with the assistance of a reference librarian to identify articles published since 1996 that reported evaluation of the usability or safety of an EHR user interface via user test, analytic methods, or inspection methods. The 4336 references collected from MEDLINE, EMBASE, Engineering Village, and expert referrals were de-duplicated and screened for relevance, and navigation-related concepts were abstracted from the 21 articles eligible for review using a standard abstraction form. RESULTS: Of the 21 eligible articles, 20 (95%) mentioned navigation in results and discussion of usability evaluations. Navigation between pages of the EHR was the more frequently documented type of navigation (86%) compared to navigation within a single page (14%). Navigation actions (e.g., scrolling through a medication list) were frequently linked to specific usability heuristic violations, among which flexibility and efficiency of use, recognition rather than recall, and error prevention were most common. DISCUSSION: Discussion of navigation was prevalent in results across all types of evaluation methods among the articles reviewed. Navigating between multiple screens was frequently identified as a usability barrier. The lack of standard terminology created some challenges to identifying and comparing articles. CONCLUSION: We observed that usability researchers are frequently capturing navigation-related issues even in articles that did not explicitly state navigation as a focus. Capturing and synthesizing the literature on navigation is challenging because of the lack of uniform vocabulary. Navigation is a potential target for normative recommendations for improved interaction design for safer systems. Future research in this domain, including development of normative recommendations for usability design and evaluation, will be facilitated by development of a standard terminology for describing EHR navigation.

Effects of workload, work complexity, and repeated alerts on alert fatigue in a clinical decision support system.

BACKGROUND: Although alert fatigue is blamed for high override rates in contemporary clinical decision support systems, the concept of alert fatigue is poorly defined. We tested hypotheses arising from two possible alert fatigue mechanisms: (A) cognitive overload associated with amount of work, complexity of work, and effort distinguishing informative from uninformative alerts, and (B) desensitization from repeated exposure to the same alert over time. METHODS: Retrospective cohort study using electronic health record data (both drug alerts and clinical practice reminders) from January 2010 through June 2013 from 112 ambulatory primary care clinicians. The cognitive overload hypotheses were that alert acceptance would be lower with higher workload (number of encounters, number of patients), higher work complexity (patient comorbidity, alerts per encounter), and more alerts low in informational value (repeated alerts for the same patient in the same year). The desensitization hypothesis was that, for newly deployed alerts, acceptance rates would decline after an initial peak. RESULTS: On average, one-quarter of drug alerts received by a primary care clinician, and one-third of clinical reminders, were repeats for the same patient within the same year. Alert acceptance was associated with work complexity and repeated alerts, but not with the amount of work. Likelihood of reminder acceptance dropped by 30% for each additional reminder received per encounter, and by 10% for each five percentage point increase in proportion of repeated reminders. The newly deployed reminders did not show a pattern of declining response rates over time, which would have been consistent with desensitization. Interestingly, nurse practitioners were 4 times as likely to accept drug alerts as physicians. CONCLUSIONS: Clinicians became less likely to accept alerts as they received more of them, particularly more repeated alerts. There was no evidence of an effect of workload per se, or of desensitization over time for a newly deployed alert. Reducing within-patient repeats may be a promising target for reducing alert overrides and alert fatigue.