Telemedicine Adoption in an NCI-Designated Cancer Center During the COVID-19 Pandemic: A Report on Patient Experience of Care.

BACKGROUND: Patients with cancer require timely access to care so that healthcare providers can prepare an optimal treatment plan with significant implications for quality of life and mortality. The COVID-19 pandemic spurred rapid adoption of telemedicine in oncology, but study of patient experience of care with telemedicine in this population has been limited. We assessed overall patient experience of care with telemedicine at an NCI-designated Comprehensive Cancer Center during the COVID-19 pandemic and examined changes in patient experience over time. PATIENTS AND METHODS: This was a retrospective study of outpatient oncology patients who received treatment at Moffitt Cancer Center. Press Ganey surveys were used to assess patient experience. Data from patients with appointments between April 1, 2020, and June 30, 2021, were analyzed. Patient experience was compared between telemedicine and in-person visits, and patient experience with telemedicine over time was described. RESULTS: A total of 33,318 patients reported Press Ganey data for in-person visits, and 5,950 reported Press Ganey data for telemedicine visits. Relative to patients with in-person visits, more patients with telemedicine visits gave higher satisfaction ratings for access (62.5% vs 75.8%, respectively) and care provider concern (84.2% vs 90.7%, respectively) (P<.001). When adjusted for age, race/ethnicity, sex, insurance, and clinic type, telemedicine visits consistently outperformed in-person visits over time regarding access and care provider concern (P<.001). There were no significant changes over time in satisfaction with telemedicine visits regarding access, care provider concern, telemedicine technology, or overall assessment (P>.05). CONCLUSIONS: In this study, a large oncology dataset showed that telemedicine resulted in better patient experience of care in terms of access and care provider concern compared with in-person visits. Patient experience of care with telemedicine visits did not change over time, suggesting that implementing telemedicine was effective.

Patient and caregiver experience with telehealth for surgical cancer care: A qualitative study.

INTRODUCTION: The COVID-19 pandemic led to telemedicine adoption for many medical specialties, including surgical cancer care. To date, the evidence for patient experience of telemedicine among patients with cancer undergoing surgery is limited to quantitative surveys. Thus, this study qualitatively assessed the patient and caregiver experience of telehealth visits for surgical cancer care. METHODS: We conducted semistructured interviews with 25 patients with cancer and three caregivers who had completed a telehealth visit for preanesthesia or postoperative visits. Interviews covered visit descriptions, overall satisfaction, system experience, visit quality, what roles caregivers had, and thoughts on what types of surgery-related visits would be appropriate through telehealth versus in-person. RESULTS: Telehealth delivery for surgical cancer care was generally viewed positively. Multiple factors influenced the patient experience, including prior experience with telemedicine, ease of scheduling visits, smooth connection experiences, having access to technical support, high communication quality, and visit thoroughness. Participants identified use cases on telehealth for surgical cancer care, including postoperative visits for uncomplicated surgical procedures and educational visits. CONCLUSIONS: Patient experiences with telehealth for surgical care are influenced by smooth system experiences, high-quality patient-clinician communications, and a patient-centered focus. Interventions are needed to optimize telehealth delivery (e.g., improve telemedicine platform usability).

Predictors of intent to utilize the emergency department among a free clinic's patients.

OBJECTIVE: Primary care use helps reduce utilization of more expensive modes of care, such as the emergency department (ED). Although most studies have investigated this association among patients with insurance, few have done so for patients without insurance. We used data from a free clinic network to assess the association between free clinic use and intent to use the ED. METHODS: Data were collected from a free clinic network's electronic health records on adult patients from January 2015 to February 2020. Our outcome was whether patients reported themselves as 'very likely' to visit the ED if the free clinics were unavailable. The independent variable was frequency of free clinic use. Using a multivariable logistic regression model, we controlled for other factors, such as patient demographic factors, social determinants of health, health status, and year effect. RESULTS: Our sample included 5008 visits. When controlling for other factors, higher odds of expressing ED interest were observed for patients who are non-Hispanic Black, older, not married, lived with others, had lower education, were homeless, had personal transportation, lived in rural areas, and had a higher comorbidity burden. In sensitivity analyses, higher odds were observed for dental, gastrointestinal, genitourinary, musculoskeletal, or respiratory conditions. CONCLUSIONS: In the free clinic space, several patient demographic, social determinants of health and medical conditions were independently associated with greater odds of reporting intent on visiting the ED. Additional interventions that improve access and use of free clinics (e.g., dental) may keep patients without insurance from the ED.

Patient and caregiver experience with telepharmacy in cancer care to support beginning systemic therapy: A qualitative study.

INTRODUCTION: Although the COVID-19 pandemic spurred telehealth adoption for many specialties and care team roles, the patient and caregiver experience for telepharmacy visits has been relatively understudied. To our knowledge, there is a paucity of studies that have attempted to qualitatively evaluate this. This study aimed to qualitatively assess the patient and caregiver experience of telepharmacy visits in a cancer center. METHODS: Semistructured interviews were conducted with 21 patients with cancer and seven caregivers that had attended a telepharmacy visit between December 1, 2021, and May 24, 2022. The interviews assessed visit content, overall satisfaction, system experience, visit quality, and future preferences for pharmacy visits as telehealth versus in-person. We used both deductive and inductive coding to identify themes. RESULTS: Telepharmacy delivery was generally well-received. Reasons for having the telepharmacy visit included reviewing chemotherapy procedures, side effects to expect during treatment, providing education on recently prescribed medications, offering dietary recommendations (e.g., avoiding grapefruit juice), and performing medication reconciliation. Participants were receptive to having pharmacy visits through telehealth due to the perceived lack of a need to have a physical exam and prior relationship with the pharmacist. Participants also highlighted the main reason for the telepharmacy visits was primarily to provide patient education, which participants felt was suitable for telehealth. CONCLUSIONS: The patient and caregiver experience of telepharmacy is influenced by several factors, such as ease of connectivity, communicating effectively with the pharmacist, and timing of the telepharmacy visit (e.g., immediately after picking up medications from the pharmacy). Participants' recommendations to improve telepharmacy delivery included health systems raising awareness of telepharmacy services and providing a list of questions to patients to guide discussions.

Patient-Level Characteristics Associated with Tobacco Users and Nonusers at a Student-Run Free Clinic.

OBJECTIVES: Many tobacco users are motivated to quit but lack the resources to do so. To date, studies characterizing tobacco users at student-run free clinics have used small sample sizes, which may not be large enough to detect differences across key variables. As such, we assessed sociodemographic differences between tobacco users and nonusers at a student-run free clinic using a pooled cross-sectional design. METHODS: We used patient-level data from the electronic health records for all of the patients who were seen during January 2012 to February 2020 inclusive. Our dependent variable was whether patients self-reported tobacco use. We assessed for differences across age, sex, race/ethnicity, and education level using a multivariable logistic regression model. RESULTS: Across 4264 patients, 28.7% reported tobacco use. When controlling for other factors, greater odds of tobacco use were observed in this cohort for patients who were male (odds ratio [OR] 1.690, 95% confidence interval [CI] 1.468-1.944), those with educational attainment of 9th to 11th grade (OR 2.291, 95% CI 1.558-3.369), and those who were high school graduates/completed the General Education Development test (OR 1.849, 95% CI 1.295-2.638) compared with those with less than a high school education. Similarly, patients of older age had greater odds of tobacco use. CONCLUSIONS: Our study found patient-level differences that may need to be integrated into improving the reach of intervention methods. Future research should look at a broader set of metrics (eg, geographic location, socioeconomic status) and ascertain reasons for sociodemographic differences observed.

Early Performance of the Patients Over Paperwork Initiative among Family Medicine Physicians.

OBJECTIVES: In 2019, the Centers for Medicare & Medicaid Services began implementing the Patients Over Paperwork (POP) initiative in response to clinicians reporting burdensome documentation regulations. To date, no study has evaluated how these policy changes have influenced documentation burden. METHODS: Our data came from the electronic health records of an academic health system. Using quantile regression models, we assessed the association between the implementation of POP and clinical documentation word count using data from family medicine physicians in an academic health system from January 2017 to May 2021 inclusive. Studied quantiles included the 10th, 25th, 50th, 75th, and 90th quantiles. We controlled for patient-level (race/ethnicity, primary language, age, comorbidity burden), visit-level (primary payer, level of clinical decision making involved, whether a visit was done through telemedicine, whether a visit was for a new patient), and physician-level (sex) characteristics. RESULTS: We found that the POP initiative was associated with lower word counts across all of the quantiles. In addition, we found lower word counts among notes for private payers and telemedicine visits. Conversely, higher word counts were observed in notes that were written by female physicians, notes for new patient visits, and notes involving patients with greater comorbidity burden. CONCLUSIONS: Our initial evaluation suggests that documentation burden, as measured by word count, has declined over time, particularly following implementation of the POP in 2019. Additional research is needed to see whether the same occurs when examining other medical specialties, clinician types, and longer evaluation periods.

Patient-Level Factors Associated with Utilization of Telemedicine Services from a Free Clinic During COVID-19.

Background: Disparities in telemedicine use by race, age, and income have been consistently documented. To date, research has focused on telemedicine use among patients with adequate insurance coverage. To address this gap, this study identifies patient-level factors associated with telemedicine use during the coronavirus (COVID-19) pandemic among one free clinic network's patients who are underinsured or uninsured. Methods: Electronic health record data were reviewed for patient-level data on patients seen from March 2020 to September 2020. Patients were grouped by telemedicine use history. We controlled for sociodemographic factors (e.g., age, race/ethnicity) and comorbidities. Logistic regression analyses were conducted. Results: Across 198 adult patients, 56.6% received telemedicine care. Of these, 99.1% elected for audio-only telemedicine instead of video telemedicine. Telemedicine use was more likely among those living within 15 miles of their clinic (adjusted odds ratio [aOR] = 4.43, 95% confidence interval [CI] 1.70-11.53). It was less likely to be used by older patients (aOR = 0.97, 95% CI 0.94-1.00), patients of male sex (aOR = 0.85, 95% CI 0.18-0.92), and those establishing care as a new patient (aOR = 0.01, 95% CI 0.00-0.07). Conclusion: The moderate usage of telemedicine suggests that its implementation in free clinics may be feasible. Solutions specific to patients with smartphone-only internet access are needed to improve the use of video telemedicine as smartphone-specific factors (e.g., data use limits) may influence the ability for underserved patients to receive video telemedicine.

Antibiotic prescribing patterns for acute respiratory infections in a free clinic network: A pooled cross-sectional study.

In the United States, overprescribing of antibiotics for viral respiratory infections and antimicrobial resistance continue to be public health concerns. To date, no literature has focused on antibiotic prescribing patterns from free clinics. To address this gap, we used patient-level data from a student-run free clinic network of four primary care clinics to assess factors associated with inappropriate antibiotic prescribing for viral respiratory infections. Treatment plans were deemed inappropriate if any type of antibiotic was prescribed. We used unpaired t-tests and chi-square tests to assess for differences in receiving an inappropriate antibiotic prescription by patient-level factors (i.e., age, race/ethnicity, sex, educational attainment, preferred language, insurance status). Of 298 visits, 22.5% did not meet treatment guidelines. No patient-level factors studied were associated with inappropriate antibiotic prescribing. Our findings suggest other factors, beyond patient-level, may be drivers of variation in antibiotic prescribing in free clinics.

Impact of Asynchronous Electronic Communication-Based Visits on Clinical Outcomes and Health Care Delivery: Systematic Review.

BACKGROUND: Electronic visits (e-visits) involve asynchronous communication between clinicians and patients through a secure web-based platform, such as a patient portal, to elicit symptoms and determine a diagnosis and treatment plan. E-visits are now reimbursable through Medicare due to the COVID-19 pandemic. The state of evidence regarding e-visits, such as the impact on clinical outcomes and health care delivery, is unclear. OBJECTIVE: To address this gap, we examine how e-visits have impacted clinical outcomes and health care quality, access, utilization, and costs. METHODS: We conducted a systematic review; MEDLINE, Embase, and Web of Science were searched from January 2000 through October 2020 for peer-reviewed studies that assessed e-visits' impacts on clinical and health care delivery outcomes. RESULTS: Out of 1859 papers, 19 met the inclusion criteria. E-visit usage was associated with improved or comparable clinical outcomes, especially for chronic disease management (eg, diabetes care, blood pressure management). The impact on quality of care varied across conditions. Quality of care was equivalent or better for chronic conditions, but variable quality was observed in infection management (eg, appropriate antibiotic prescribing). Similarly, the impact on health care utilization varied across conditions (eg, lower utilization for dermatology but mixed impact in primary care). Health care costs were lower for e-visits than those for in-person visits for a wide range of conditions (eg, dermatology and acute visits). No studies examined the impact of e-visits on health care access. It is difficult to draw firm conclusions about effectiveness or impact on care delivery from the studies that were included because many used observational designs. CONCLUSIONS: Overall, the evidence suggests e-visits may provide clinical outcomes that are comparable to those provided by in-person care and reduce health care costs for certain health care conditions. At the same time, there is mixed evidence on health care quality, especially regarding infection management (eg, sinusitis, urinary tract infections, conjunctivitis). Further studies are needed to test implementation strategies that might improve delivery (eg, clinical decision support for antibiotic prescribing) and to assess which conditions can be managed via e-visits.

Mental healthcare access among US adults with vision impairment and depression and/or anxiety symptoms.

BACKGROUND: Although individuals with vision impairment are at greater risk for depression and anxiety, there has been limited study of mental healthcare utilization among this population. OBJECTIVES: To address this gap, this pooled cross-sectional study estimates the prevalence of mental healthcare utilization among individuals with vision impairment during the COVID-19 pandemic. METHODS: We calculated adjusted relative risk ratios and 95% confidence intervals of depression and/or anxiety symptoms and mental healthcare utilization using multinomial logistic regression, accounting for demographics, social determinants of health, and survey week. The population-based, U.S. Census Bureau Household Pulse Survey was administered April 2021-March 2022. Participants included 800,935 US adults (weighted population: 174,598,530) RESULTS: Adjusting for other factors, adults with vision impairment were more likely to report depression symptoms (RRR: 2.33; 95% CI: 2.03-2.68), anxiety symptoms (RRR: 2.12; 95% CI: 1.94-2.33, and comorbid depression and anxiety symptoms (RRR: 3.77; 95% CI: 3.51-4.04) compared with individuals with no vision impairment. Among individuals reporting anxiety or depression symptoms, individuals with vision impairment (RRR: 1.46; 95% CI: 1.35-1.59) were more likely to lack of mental healthcare utilization compared with individuals with no vision impairment. CONCLUSION: Findings suggest that individuals with vision impairment are at increased risk for depression and/or anxiety symptoms and report reduced mental healthcare utilization compared with individuals without vision impairment. Additional programs and policies are needed to improve mental healthcare utilization among individuals with vision impairment and depression and/or anxiety symptoms, such as increased telehealth accessibility and coordination of behavioral health and ophthalmology services.

Electronic health record system use and documentation burden of acute and critical care nurse clinicians: a mixed-methods study.

OBJECTIVES: Examine electronic health record (EHR) use and factors contributing to documentation burden in acute and critical care nurses. MATERIALS AND METHODS: A mixed-methods design was used guided by Unified Theory of Acceptance and Use of Technology. Key EHR components included, Flowsheets, Medication Administration Records (MAR), Care Plan, Notes, and Navigators. We first identified 5 units with the highest documentation burden in 1 university hospital through EHR log file analyses. Four nurses per unit were recruited and engaged in interviews and surveys designed to examine their perceptions of ease of use and usefulness of the 5 EHR components. A combination of inductive/deductive coding was used for qualitative data analysis. RESULTS: Nurses acknowledged the importance of documentation for patient care, yet perceived the required documentation as burdensome with levels varying across the 5 components. Factors contributing to burden included non-EHR issues (patient-to-nurse staffing ratios; patient acuity; suboptimal time management) and EHR usability issues related to design/features. Flowsheets, Care Plan, and Navigators were found to be below acceptable usability and contributed to more burden compared to MAR and Notes. The most troublesome EHR usability issues were data redundancy, poor workflow navigation, and cumbersome data entry based on unit type. DISCUSSION: Overall, we used quantitative and qualitative data to highlight challenges with current nursing documentation features in the EHR that contribute to documentation burden. Differences in perceived usability across the EHR documentation components were driven by multiple factors, such as non-alignment with workflows and amount of duplication of prior data entries. Nurses offered several recommendations for improving the EHR, including minimizing redundant or excessive data entry requirements, providing visual cues (eg, clear error messages, highlighting areas where missing or incorrect information are), and integrating decision support. CONCLUSION: Our study generated evidence for nurse EHR use and specific documentation usability issues contributing to burden. Findings can inform the development of solutions for enhancing multi-component EHR usability that accommodates the unique workflow of nurses. Documentation strategies designed to improve nurse working conditions should include non-EHR factors as they also contribute to documentation burden.

Implementation and delivery of electronic health records training programs for nurses working in inpatient settings: a scoping review.

OBJECTIVES: Well-designed electronic health records (EHRs) training programs for clinical practice are known to be valuable. Training programs should be role-specific and there is a need to identify key implementation factors of EHR training programs for nurses. This scoping review (1) characterizes the EHR training programs used and (2) identifies their implementation facilitators and barriers. MATERIALS AND METHODS: We searched MEDLINE, CINAHL, PsycINFO, and Web of Science on September 3, 2023, for peer-reviewed articles that described EHR training program implementation or delivery to nurses in inpatient settings without any date restrictions. We mapped implementation factors to the Consolidated Framework for Implementation Research. Additional themes were inductively identified by reviewing these findings. RESULTS: This review included 30 articles. Healthcare systems' approaches to implementing and delivering EHR training programs were highly varied. For implementation factors, we observed themes in innovation (eg, ability to practice EHR skills after training is over, personalizing training, training pace), inner setting (eg, availability of computers, clear documentation requirements and expectations), individual (eg, computer literacy, learning preferences), and implementation process (eg, trainers and support staff hold nursing backgrounds, establishing process for dissemination of EHR updates). No themes in the outer setting were observed. DISCUSSION: We found that multilevel factors can influence the implementation and delivery of EHR training programs for inpatient nurses. Several areas for future research were identified, such as evaluating nurse preceptorship models and developing training programs for ongoing EHR training (eg, in response to new EHR workflows or features). CONCLUSIONS: This scoping review highlighted numerous factors pertaining to training interventions, healthcare systems, and implementation approaches. Meanwhile, it is unclear how external factors outside of a healthcare system influence EHR training programs. Additional studies are needed that focus on EHR retraining programs, comparing outcomes of different training models, and how to effectively disseminate updates with the EHR to nurses.

Patient-provider communication about the use of medical cannabis for cancer symptoms: a cross-sectional study.

BACKGROUND: There has been limited study regarding patient-provider communication about medical cannabis for cancer symptom management. To address this gap, this study assesses the determinants and prevalence of patient-provider communication about the use of medical cannabis for cancer symptoms at a National Cancer Institute-designated Comprehensive Cancer Center. METHODS: Individuals who completed cancer treatment from July 2017 to December 2019 were invited to participate in a survey regarding medical cannabis. An electronic survey was administered in English and Spanish from August to November 2021 and completed by 1592 individuals (response rate = 17.6%). RESULTS: About one-third (33.5%) of participants reported discussing medical cannabis for cancer symptom management with a health-care provider. Controlling for other factors, individuals with malnutrition and/or cachexia had higher odds (odds ratio [OR] = 2.30, 95% confidence interval [CI] = 1.50 to 3.53) of reporting patient-provider discussions compared with individuals without malnutrition and/or cachexia. Similarly, individuals with nausea had higher odds (OR = 1.94, 95% CI = 1.44 to 2.61) of reporting patient-provider discussions compared with individuals without nausea. A smaller percentage (15.6%) of participants reported receiving a recommendation for medical cannabis for cancer symptom management. Among individuals who reported using cannabis, a little over one-third (36.1%) reported not receiving instructions from anyone on how to use cannabis or determine how much to take. CONCLUSIONS: Overall, our study suggests that patient-provider communication about medical cannabis for cancer symptom management is limited. As interest and use of medical cannabis continues to grow among cancer patients, there is a need to ensure patients have access to high quality patient-provider communication.

Concurrent substance use among cancer patients with and without a history of cannabis use since cancer diagnosis at an NCI-Designated Cancer Center in Florida.

BACKGROUND: Although substance use may have adverse impacts on cancer outcomes, little is known regarding patterns of concurrent substance use with cannabis among cancer patients. Our objective was to examine predictors of concurrent substance use with cannabis among cancer patients since their cancer diagnosis and explore perceptions of cannabis among these patients. METHODS: Patients treated at a National Cancer Institute-designated comprehensive cancer center were invited to participate in an electronic survey regarding medical cannabis from August to November 2021. Survey data were linked to internal data resources including electronic health records and patient intake forms to obtain history of substance use (defined as within at least 3 months of cancer diagnosis) of cigarettes, injection drugs, high levels of alcohol, or clinically unsupervised prescription drugs (total n = 1094). Concurrent substance users were defined as those with any reported substance use and cannabis use at the time of cancer diagnosis. We used descriptive statistics (χ2 or exact tests) to compare groups and estimated adjusted odds ratios (AORs) with 95% confidence intervals (CIs) to identify predictors of substance use among users and nonusers of cannabis. RESULTS: Approximately 45% (n = 489) of the sample reported cannabis use since their cancer diagnosis. Of patients who reported using cannabis, 20% self-reported concurrent polysubstance use, while 8% of cannabis nonusers reported substance use (P < .001). Among patients who use cannabis, those who reported 2 or more self-reported treatment-related symptoms (eg, pain, fatigue) were more likely to have self-reported concurrent substance use (AOR = 3.15, 95% CI = 1.07 to 9.27) compared with those without any symptoms. Among nonusers, those with lower educational background were more likely to have a history of concurrent substance use (AOR = 3.74, 95% CI = 1.57 to 8.92). Patients who use cannabis with concurrent substance use were more likely to report improved sleep (P = .04), increased appetite (P = .03), and treatment of additional medical conditions (P = .04) as perceived benefits of cannabis use. CONCLUSIONS: High symptom burden may be associated with concurrent substance use with cannabis among cancer patients.

Optimizing presurgical education for patients with head and neck cancer receiving laryngectomy and free flap surgery: A qualitative study.

BACKGROUND: There has been limited study of oncology professionals' perspectives on optimizing delivery of presurgical education for individuals with head and neck cancer (HNC). Therefore, we assessed oncology professionals' perspectives about presurgical education for laryngectomy and free flap surgeries, which have a significant impact on patients' quality of life. METHODS: Interviews were conducted with 27 oncology professionals from an NCI-designated Comprehensive Cancer Center and a community oncology setting. RESULTS: Participants identified six recommendations to improve presurgical education: (1) establishing preoperative consultations with allied health professionals; (2) educating patients and providers on the concept of team-based care; (3) optimizing education through multimodal strategies; (4) connecting patients with other HNC surgical patients; (5) preparing caregivers for their role; and (6) educating patients on insurance navigation. CONCLUSIONS: Study findings demonstrate gaps in the timing, content, and mode of delivery for presurgical education and suggest strategies for further evaluation in future studies.

Electronic Health Record Nudges and Health Care Quality and Outcomes in Primary Care: A Systematic Review.

Importance: Nudges have been increasingly studied as a tool for facilitating behavior change and may represent a novel way to modify the electronic health record (EHR) to encourage evidence-based care. Objective: To evaluate the association between EHR nudges and health care outcomes in primary care settings and describe implementation facilitators and barriers. Evidence Review: On June 9, 2023, an electronic search was performed in PubMed, Embase, PsycINFO, CINAHL, and Web of Science for all articles about clinician-facing EHR nudges. After reviewing titles, abstracts, and full texts, the present review was restricted to articles that used a randomized clinical trial (RCT) design, focused on primary care settings, and evaluated the association between EHR nudges and health care quality and patient outcome measures. Two reviewers abstracted the following elements: country, targeted clinician types, medical conditions studied, length of evaluation period, study design, sample size, intervention conditions, nudge mechanisms, implementation facilitators and barriers encountered, and major findings. The findings were qualitatively reported by type of health care quality and patient outcome and type of primary care condition targeted. The Risk of Bias 2.0 tool was adapted to evaluate the studies based on RCT design (cluster, parallel, crossover). Studies were scored from 0 to 5 points, with higher scores indicating lower risk of bias. Findings: Fifty-four studies met the inclusion criteria. Overall, most studies (79.6%) were assessed to have a moderate risk of bias. Most or all descriptive (eg, documentation patterns) (30 of 38) or patient-centeredness measures (4 of 4) had positive associations with EHR nudges. As for other measures of health care quality and patient outcomes, few had positive associations between EHR nudges and patient safety (4 of 12), effectiveness (19 of 48), efficiency (0 of 4), patient-reported outcomes (0 of 3), patient adherence (1 of 2), or clinical outcome measures (1 of 7). Conclusions and Relevance: This systematic review found low- and moderate-quality evidence that suggested that EHR nudges were associated with improved descriptive measures (eg, documentation patterns). Meanwhile, it was unclear whether EHR nudges were associated with improvements in other areas of health care quality, such as effectiveness and patient safety outcomes. Future research is needed using longer evaluation periods, a broader range of primary care conditions, and in deimplementation contexts.