Nurse-reported workplace violent events: Results from a repeated statewide survey.

BACKGROUND: Workplace violence significantly affects registered nurses, contributing to burnout and intention to leave. METHODS: The Michigan Nurses Study conducted surveys in 2022 and 2023, examining the prevalence of verbal, physical, and sexual violence, and coworker bullying. Personal and workplace factors associated with reporting any violent event were examined using multivariable logistic regression. RESULTS: There was a decline in overall workplace violence from 50.2% to 43.4%, despite a rise in sexual harassment from 9.9% to 11.8%. Over half of the events were patient-sourced. Underreporting remained a problem. Factors associated with increased likelihood of reporting any violent event included younger age, employment in acute care and long-term care settings, unfavorable practice environments, less confidence in management, inadequate support for workplace stress, and understaffing on the past shift. CONCLUSION: Despite a decrease in reported violent events, incidents remain common. Improvements in working conditions, management of understaffing, and support systems are crucial to mitigate workplace violence against nurses.

Cross-Site Evaluation of Alcohol Screening and Brief Intervention Implementation Programs in Healthcare Systems Serving Individuals of Reproductive Age.

BACKGROUND: With US Centers for Disease Control and Prevention funding, from 2018 to 2022, 4 large healthcare systems (n = 53 health centers across 7 states) serving people of reproductive age trained staff and provided implementation support for alcohol screening and brief intervention (SBI). This cross-site evaluation explores each healthcare system's implementation approach to implement SBI, reduce excessive alcohol use, and prevent prenatal alcohol exposure (PAE) and fetal alcohol spectrum disorders. METHODS: The SBIRT (Screening, Brief Intervention, and Referral to Treatment) Program Matrix framed the multilevel strategies to implement alcohol SBI programs from 2018 to 2022. Qualitative and quantitative data sources examined outcomes, guided by one logic model, through systems-level process data and provider-level performance metrics. Data analyses utilized frequencies and means for quantitative data and themes for qualitative data according to an established framework. RESULTS: Successful approaches within systems included using electronic health records, flexible implementation and workflow protocols, customized training and technical assistance programs, quality assurance feedback loops, and stakeholder buy-in. Centralized management structures were efficient in standardizing implementation across health centers. Decentralized management structures used tailored approaches, enhancing provider/staff SBI acceptance. Across systems, 1259 staff (eg, clinicians, medical assistants) were trained to provide alcohol SBI services and reported pre-post training increases in self-efficacy in performing brief intervention; skills in PAE counseling; and confidence in screening. Fifty-three (48 providing data) health centers implemented alcohol SBI, screening 106 826 patients over the study period with most of the 10 087 patients who screened positive for excessive alcohol use receiving a BI. CONCLUSIONS: Maximizing the use of technology, employing flexibility in program delivery, and institutionalizing processes and protocols improved workflow, efficiency, and program reach. Ongoing partnership and stakeholder communication identify areas for ongoing improvement, engagement, and best practices for sustainability around substance use screening, which are essential with increases in substance use since the pandemic.

Changes in Registered Nurse Employment Plans and Workplace Assessments.

Importance: The US registered nurse (RN) workforce is in flux, with high rates of burnout, intention to leave, and vacancies. Rapid, repeated assessments of the nursing workforce can help hospital executives and policymakers enact effective recruitment and retention strategies. Objective: To identify changes in practicing RNs' employment plans and workplace assessments between the 2022 and 2023 surveys. Design, Setting, and Participants: This survey study compared data collected from the Michigan Nurses' Study at 2 time points: February 22 to March 1, 2022, and May 17 to June 1, 2023. Practicing RNs with an active, unrestricted license in Michigan and a valid individual email address were included. Main Outcome and Measures: The primary outcome was nurses' intention to leave their current position within 1 year. In the 2023 survey, nurses who planned to leave were queried on their next career step and the primary reason for their planned departure. Workplace assessments included questions about abusive or violent workplace events, emotional exhaustion, job satisfaction, the practice environment's delivery of high-quality care, and the clinical setting's safety rating. Regression analysis was used to examine workplace assessments and personal factors associated with planned departures. Results: This study obtained data on 9150 nurses (6495 females [71.0%]) and 7059 nurses (5134 females [72.7%]) responding to the 2022 (response rate, 8.3%) and 2023 (response rate, 7.4%) surveys, respectively. In the 2023 survey, 32.0% (2259) of nurses planned to leave their position, compared with 39.1% (3576) in the 2022 survey. Of these nurses, 957 (41.8%) planned to leave their current employer but remain in nursing, with workloads as the most frequently cited reason (29.4% [672]). Compared with the 2022 cohort, nurses in the 2023 sample reported less workplace abuse or violence (4591 [50.2%] vs 3063 [43.4%]; P < .001), fewer understaffed shifts (4407 [48.2%] vs 2898 [41.0%]; P < .001), and less frequent use of mandatory overtime (1709 [18.7%] vs 824 [11.7%]; P < .001). Factors associated with increased likelihood for planned departures included workplace abuse or violence (odds ratio [OR], 1.39; 95% CI, 1.05-1.82) and higher emotional exhaustion scores (OR, 3.05; 95% CI, 2.38-3.91). Favorable practice environments (OR, 0.37; 95% CI, 0.22-0.62) and excellent clinical setting safety ratings (OR, 0.28; 95% CI, 0.14-0.56) were associated with lower likelihood of planned departure. Conclusions and Relevance: Results of this study showed that nurses reported improved workplace conditions in the 2023 vs the 2022 survey; however, planned departure rates, abusive or violent events, and unsafe conditions remained high, and understaffing remained a primary concern for most nurses. Health system leaders and policymakers should prioritize initiatives that support nurse retention and reduce potential workforce instability.

Using Behavioral Economics to Reduce Low-Value Care Among Older Adults: A Cluster Randomized Clinical Trial.

Importance: Use of low-value care is common among older adults. It is unclear how to best engage clinicians and older patients to decrease use of low-value services. Objective: To test whether the Committing to Choose Wisely behavioral economic intervention could engage primary care clinicians and older patients to reduce low-value care. Design, Setting, and Participants: Stepped-wedge cluster randomized clinical trial conducted at 8 primary care clinics of an academic health system and a private group practice between December 12, 2017, and September 4, 2019. Participants were primary care clinicians and older adult patients who had diabetes, insomnia, or anxiety or were eligible for prostate cancer screening. Data analysis was performed from October 2019 to November 2023. Intervention: Clinicians were invited to commit in writing to Choosing Wisely recommendations for older patients to avoid use of hypoglycemic medications to achieve tight glycemic control, sedative-hypnotic medications for insomnia or anxiety, and prostate-specific antigen tests to screen for prostate cancer. Committed clinicians had their photographs displayed on clinic posters and received weekly emails with alternatives to these low-value services. Educational handouts were mailed to applicable patients before scheduled visits and available at the point of care. Main Outcomes and Measures: Patient-months with a low-value service across conditions (primary outcome) and separately for each condition (secondary outcomes). For patients with diabetes, or insomnia or anxiety, secondary outcomes were patient-months in which targeted medications were decreased or stopped (ie, deintensified). Results: The study included 81 primary care clinicians and 8030 older adult patients (mean [SD] age, 75.1 [7.2] years; 4076 men [50.8%] and 3954 women [49.2%]). Across conditions, a low-value service was used in 7627 of the 37 116 control patient-months (20.5%) and 7416 of the 46 381 intervention patient-months (16.0%) (adjusted odds ratio, 0.79; 95% CI, 0.65-0.97). For each individual condition, there were no significant differences between the control and intervention periods in the odds of patient-months with a low-value service. The intervention increased the odds of deintensification of hypoglycemic medications for diabetes (adjusted odds ratio, 1.85; 95% CI, 1.06-3.24) but not sedative-hypnotic medications for insomnia or anxiety. Conclusions and Relevance: In this stepped-wedge cluster randomized clinical trial, the Committing to Choose Wisely behavioral economic intervention reduced low-value care across 3 common clinical situations and increased deintensification of hypoglycemic medications for diabetes. Use of scalable interventions that nudge patients and clinicians to achieve greater value while preserving autonomy in decision-making should be explored more broadly. Trial Registration: ClinicalTrials.gov Identifier: NCT03411525.

Primary care capacity as insurance coverage expands: examining the role of health information technology.

OBJECTIVES: Under the Affordable Care Act, many newly insured Americans have the challenge of establishing care with a primary care physician (PCP). We sought to examine whether health information technology (HIT) use in primary care practices was associated with anticipated capacity to accept new patients. STUDY DESIGN: Secondary analysis of a cross-sectional survey of Michigan PCPs from the specialties of pediatrics, internal medicine, and family medicine, conducted from October to December 2012. HIT use was considered independently for 8 types of HIT and in aggregate as a total count of HIT in use. Primary care capacity was assessed as self-reported capacity to accept new patients. RESULTS: Of 739 respondents, 83% reported they anticipated capacity to accept new patients. In multivariable analysis, we found that physiians using a greater number of HITs were significantly less likely to anticipate capacity to accept new patients (adjusted odds ratio [OR] = 0.86; 95% CI, 0.76-0.97). PCPs with higher HIT use were also less likely to accept patients with private insurance (adjusted OR 0.87; 95% CI, 0.77-0.97), but not with Medicaid (adjusted OR 0.94; 95% CI, 0.84-1.05) or Medicare (adjusted OR 0.91; 95% CI, 0.83-1.01). Among individual HITs, electronic health records (adjusted OR 0.54; 95% CI, 0.30-0.96) and electronic access to admitting hospital records (adjusted OR 0.46; 95% CI, 0.22-0.96) were the only HITs significantly associated with lower anticipated primary care capacity. CONCLUSIONS: PCPs using a greater number of HITs were less likely to anticipate capacity to accept new patients. Implementation of HIT and other practice innovations must be carefully coordinated to optimize capacity to care for the newly insured.