Journal Of Healthcare Management / American College Of Healthcare Executives[JOURNAL]
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200 papers
Disaster Preparedness Training Relevance for Organizational Response Effectiveness: A Healthcare Executive Perspective.
Hertelendy AJ, Richmond JG, Lassar WM … +6 more , Mitchell CL, Mayo MA, Vilendrer S, Devereaux A, Burkle FM, Ullmann S
J Healthc Manag · 2026 Jan-Feb 01 · PMID 41231534 · Publisher ↗
GOAL: Prior to the COVID-19 pandemic, numerous studies had described gaps in hospital preparedness for natural and man-made disasters and public health emergencies. These gaps were especially evident during the COVID-19...
GOAL: Prior to the COVID-19 pandemic, numerous studies had described gaps in hospital preparedness for natural and man-made disasters and public health emergencies. These gaps were especially evident during the COVID-19 pandemic and recent catastrophes, such as hurricanes, earthquakes, wildfires, and cyberattacks, highlighting the lack of organizational preparedness and response. This study aims to understand the training that healthcare executives should receive in order to prepare for future disasters and health emergencies. METHODS: We developed a survey based on existing literature and insights from healthcare executives and disaster medicine experts, all of whom had gained expertise while responding to prior disasters. Our exploratory study also targeted individuals with executive positions in hospitals. Respondents had varying levels of executive responsibility, including C-suite positions, operations directors, clinicians, and those in other strategic analytic roles. PRINCIPAL FINDINGS: Our survey found that scenario planning, using either a tabletop exercise or active role-playing-a simulation-based training method in which participants assume specific roles to act out realistic or hypothetical disaster scenarios-was found to be the most relevant type of training, while setting up an emergency operations center was the least relevant. Healthcare executives perceive that they are better prepared for disasters when the training they receive is relevant to them. This signifies that believing in oneself as being prepared leads healthcare executives to perceive that their organizations can implement more comprehensive emergency response activities, and that those activities are deemed to be more effective. PRACTICAL APPLICATIONS: Assessing how healthcare executives perceive their personal preparedness for public health emergencies, such as pandemics and natural disasters, is crucial for enhancing leadership and overall organizational effectiveness in future crises. Organizations and leaders need to be proactive to ensure they effectively respond to increasingly unpredictable crises.
Association of Measured Quality and Future Financial Performance Among Hospitals Performing Cardiac Surgery.
J Healthc Manag · 2025 Nov-Dec 01 · PMID 41217410 · Publisher ↗
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Satisfaction with Artificial Intelligence Among Patients and Physicians: A Scoping Review.
Hoff T, Kitsakos A, Silva J
J Healthc Manag · 2025 Nov-Dec 01 · PMID 41217409 · Publisher ↗
GOAL: The role of artificial intelligence (AI) continues to grow in healthcare. It is important to gain a deeper understanding of how patients and care providers perceive its use in patient care and whether they are sati...
GOAL: The role of artificial intelligence (AI) continues to grow in healthcare. It is important to gain a deeper understanding of how patients and care providers perceive its use in patient care and whether they are satisfied with the AI experience. This study performed a scoping review of the published research on patient and physician satisfaction with AI used in healthcare delivery. METHODS: The Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) approach guided the identification, filtering, and analysis of research published from 2003 to 2023 on patient and care provider satisfaction with AI. A standardized data abstraction form created in Microsoft Excel was used to record relevant information in the 45 articles that were selected for review. PRINCIPAL FINDINGS: Most of the 45 empirical studies included in this study focused on patient satisfaction with AI. Almost half considered AI for treatment exclusively, mostly in hospital or remote settings. Moderate to high degrees of AI satisfaction were identified in 16 of 28 (57%) studies that contained a general AI satisfaction finding of some type. In the other 12 studies, satisfaction levels expressed were lower. Overall, higher satisfaction was seen with AI in diagnostic situations compared to treatment situations. Ninety percent of studies where AI was identified as effective in patient care also found high levels of AI satisfaction. PRACTICAL APPLICATIONS: Both physicians and patients appear receptive to the integration of AI into patient care, regardless of the type of AI used. This receptivity may encourage healthcare organizations to support AI in patient care. Healthcare organizations should identify the full range of drivers of patient and physician satisfaction with AI beyond whether the technology or tool improves clinical outcomes. Future research could analyze contextual factors that may impact AI satisfaction; effects related to age, type of patient care setting, and clinical situation; and an expansion of the types of AI examined.
Virtual Reality Experience to Relieve Stress, Burnout, Fatigue, and Anxiety in Healthcare Professionals: A Systematic Review.
Desai S, Rath C, Bhandarkar N … +2 more , Jape G, Rao S
J Healthc Manag · 2025 Nov-Dec 01 · PMID 41217408 · Publisher ↗
GOAL: Healthcare professionals (HCPs) working long shifts are prone to physical, emotional, and psychological stress leading to harmful effects on their mental health, an issue compounded by the COVID-19 pandemic. Novel...
GOAL: Healthcare professionals (HCPs) working long shifts are prone to physical, emotional, and psychological stress leading to harmful effects on their mental health, an issue compounded by the COVID-19 pandemic. Novel efforts such as virtual reality (VR)-based immersion have been explored to mitigate this problem in HCPs. However, the studies vary in their clinical settings, scales used for measuring outcomes related to mental health, sample size, and other relevant parameters. We conducted a systematic review (SR) to collate all available evidence on the feasibility and efficacy of VR-based interventions for reducing stress, burnout, fatigue, and anxiety in HCPs. METHODS: We searched major databases for comprehensive literature on HCP mental well-being measures in September 2023 and February 2024. Risk of bias was assessed using the Effective Public Health Practice Project (EPHPP) quality assessment tool, and PRISMA guidelines were used for reporting this SR. PRINCIPAL FINDINGS: A total of 17 studies out of 1,422 citations were included in the final analysis. The number of study participants ranged from 14 to 219 (1,053 total). Seven studies were randomized controlled trials, and the rest were pre-post intervention studies. Meta-analysis was not feasible because the included studies were heterogeneous in their study settings, methodology, and assessed mental health domain. Based on the EPHPP tool, one study had a strong global rating, two had a moderate rating, and 14 had a weak rating. PRACTICAL APPLICATIONS: VR-based interventions during break times appear to be feasible and useful in addressing HCP stress, burnout, fatigue, and anxiety. However, limited high-quality studies warrant caution in interpretation.
"It's an Honor and Privilege to Do What We Do": A Qualitative Study of Professionalism Among Physicians and Nurses During the COVID-19 Pandemic.
Ahluwalia SC, Bandini JI, Timmins G … +3 more , Bialas A, Meredith LS, Gidengil C
J Healthc Manag · 2025 Nov-Dec 01 · PMID 41217407 · Publisher ↗
GOAL: Solutions to address healthcare worker well-being since the COVID-19 pandemic have been tested with varying acceptance and effectiveness. Little is known about how the values underpinning medical professionalism mi...
GOAL: Solutions to address healthcare worker well-being since the COVID-19 pandemic have been tested with varying acceptance and effectiveness. Little is known about how the values underpinning medical professionalism might be leveraged to support healthcare workers during a public health emergency. We sought to characterize the experiences of frontline physicians and nurses during the pandemic through the lens of medical professionalism and identify potential levers that could be activated in future emergencies to better protect the healthcare workforce. METHODS: We conducted semistructured interviews with 23 physicians and nurses who worked in emergency departments, ICUs, or other acute care settings at two urban teaching hospitals at the start of the pandemic. Interviews were conducted in spring and summer 2022, and were audio recorded, transcribed, and thematically analyzed. PRINCIPAL FINDINGS: Three themes emerged reflecting different orientations of professionalism that helped clinicians persevere through the pandemic but were also threatened by the most challenging stages of the pandemic: (1) the call of duty to a greater good (service orientation); (2) a shared identity as a specialized professional (team orientation); and (3) the ability to maintain a human connection with their patients (humanistic orientation). These central orientations of professionalism helped healthcare workers to continue providing care during the pandemic by focusing on achieving a greater good in the face of unprecedented challenges, accessing a shared identity with other healthcare workers to find peer support and maintain a sense of pride in their work, and finding ways to connect on a personal level with patients and families despite strict isolation requirements and fear for personal safety. When these values were not realized, or when they were noticeably absent, healthcare workers felt discouraged, abandoned or alone, and burned out. PRACTICAL APPLICATIONS: Leveraging common aspects of medical professionalism during a public health emergency may help healthcare workers find meaning in their work and mitigate feelings of burnout. Simple actions, such as maintaining a leadership presence on the floors, encouraging peer-to-peer activities or huddles, and acknowledging the need for human connection, are likely feasible to implement during an emergency and effective at fostering a sense of professional community that could buoy healthcare workers during extremely challenging times.
Retail Pharmacy: From Prescriptions to Personalized Care.
Moodley S
J Healthc Manag · 2025 Nov-Dec 01 · PMID 41217406 · Publisher ↗
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Christopher E. Johnson, PhD, Director, Institute of Health Administration, Georgia State University, Atlanta, Georgia.
J Healthc Manag · 2025 Nov-Dec 01 · PMID 41217405 · Publisher ↗
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Sticky Note Policies: Inadequate Bandages for Organizational Entropy.
Ford EW
J Healthc Manag · 2025 Nov-Dec 01 · PMID 41217404 · Publisher ↗
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Vulnerable Patient Intensified Protocol to Reduce Readmission Disparities After Coronary Artery Bypass Grafting: Design, Implementation, and Lessons Learned from a Quality Initiative.
Mosca R, Aydin B, Ynfante R … +3 more , Liao M, Tanselle R, Grossi E
J Healthc Manag · 2025 Sep-Oct 01 · PMID 40902098 · Full text
GOAL: In 2024, the Centers for Medicare & Medicaid Services (CMS) introduced equity metrics for healthcare systems to document social determinants of health (SDOH). Payment determinations were also linked to readmission...
GOAL: In 2024, the Centers for Medicare & Medicaid Services (CMS) introduced equity metrics for healthcare systems to document social determinants of health (SDOH). Payment determinations were also linked to readmission performance measures. Readmission prevention programs for vulnerable patients, defined by CMS as dually eligible (DE) for Medicare and Medicaid, racial/ethnic minorities, and those with disabling conditions, have the potential to reduce readmission disparities. Our goal was to develop a systematic and pragmatic approach to collect, analyze, and utilize SDOH and insurance status to assign patients to an intensified protocol for reducing readmission disparities after coronary artery bypass grafting (CABG). METHODS: Patients admitted to a major urban medical center for isolated CABG from October 2023 to October 2024 (N = 286) completed a standardized clinician-assisted SDOH questionnaire. SDOH risk was adapted from ICD-10 Z codes that targeted social risk factors within the scope of healthcare providers' practices (i.e., language barriers, health literacy, access to a heart-healthy diet, lack of transportation to postoperative appointments, financial difficulties impeding access to prescription medications or medical care, and lack of a caregiver/social support). Project managers reviewed electronic health records and documented racial/ethnic categories using current CMS recommendations. SDOH+ (positive) and Medicaid or DE patients were assigned to a vulnerable patient intensified protocol (VPIP) readmission prevention program focused on education, deployment of hospital and community-based resources, transportation assistance, and increased frequency of postoperative follow-up. Non-VPIP patients continued their surgeons' usual care protocols. PRINCIPAL FINDINGS: Of the 286 isolated CABG patients, 55% were ≥65 years old, 80% were male, 47% were White, 24% had Medicaid, and 14% were DE. The most prevalent SDOH+ responses were the need for an interpreter (31%), low health literacy or less than a high-school education (23%), and transportation issues (17%). White patients were significantly (p < .05) less likely to qualify for VPIP than non-White patients, as were patients with Medicare compared to those with self-pay, commercial, or military insurance. Overall, 27% of patients had ≥2 SDOH risk factors. The need for an interpreter was 6.6 times more likely to be associated with having Medicaid or being DE than not. Low health literacy or less than a high school education, transportation issues, and the lack of access to a heart-healthy diet were all significantly associated with Medicaid or DE patients. White patients, compared to non-White patients or unknown or declined responses, were significantly less likely to be SDOH+ (13% vs. 39%, p < .0001). Asian patients were at a higher risk for SDOH+ compared to White patients (49% vs.13%, p < .0001), and among Asian patients, 29% had neither Medicaid nor DE status. The strongest predictor of SDOH+ status in logistic regression models was Medicaid or DE status compared to all other insurance types (OR = 5.4, confidence interval [3.0-9.9]) when adjusted for age, race/ethnicity, and gender. PRACTICAL APPLICATIONS: Our findings demonstrate that a social-risk-informed care model is feasible in a hospital-based CABG readmission prevention program. Vulnerable patients can be identified through the standardized collection of SDOH, insurance status, and race/ethnicity data. Insurance status may be an excellent proxy to ascertain social risk and is readily accessible. Other healthcare organizations should consider regional demographics for possible SDOH risk. Our findings may support other initiatives to improve the collection of SDOH and demographic information. The VPIP CABG readmission prevention program could be adapted for other conditions and settings to achieve equitable care.
How Stakeholder Perceptions of Quality Shape Healthcare Transactions: Insights from Key Decision-Makers Across the Ecosystem.
Maravic MC, May SG, Oyekan E … +6 more , Vanderbrink J, Roach M, Shumaker K, Kolobova I, Smith-Howell ER, Scanlon D
J Healthc Manag · 2025 Sep-Oct 01 · PMID 40902097 · Full text
GOAL: In today's healthcare ecosystem, quality measures are theorized to inform the spectrum of healthcare delivery and evaluation, including specific functional areas such as quality improvement, regulation, accreditati...
GOAL: In today's healthcare ecosystem, quality measures are theorized to inform the spectrum of healthcare delivery and evaluation, including specific functional areas such as quality improvement, regulation, accreditation, and value-based payment. Yet, the ways in which expectations about quality-real or perceived-shape and inform transactional relationships between healthcare stakeholders have not been well elucidated. We elicited the perspectives of healthcare decision-makers to understand their experiences with quality and how they may influence transactions and strategic alliances. METHODS: A qualitative study incorporating semistructured in-depth interviews conducted with C-suite and D-suite decision-makers in the United States representing a mix of different types of healthcare organizations. Interviewees were asked about organizational culture and strategic priorities, qualities sought in potential business partners, and factors that drive decisions to transact with external partners. Interviews were audio-recorded and transcribed verbatim, and data were analyzed to identify key themes. PRINCIPAL FINDINGS: Quality, as an objective measure (e.g., the Healthcare Effectiveness Data and Information Set [HEDIS] or the Consumer Assessment of Healthcare Providers and Systems [CAHPS]), or a subjective assessment, was only one of many considerations that shaped transactional relationships with external healthcare stakeholders. Key informants described a range of factors considered, including partner reputation, alignment of culture and mission, and ability to achieve strategic priorities. While the term quality was broadly used and defined among the key informants, participants often incorporated the term value into their lexicography of quality and felt that value played a more significant role in decision-making. Standardized quality measures can be useful both for prompting investment within organizations and for deciding when to seek the assistance of external parties to help improve commonly collected and reported quality measures. Ultimately, the manner in which quality manifests in real-world practice and operations is not as simple or straightforward as policymakers or quality metrics developers may believe. PRACTICAL APPLICATIONS: Although there has been significant public and private investment in quality initiatives, including their use in payment and regulatory models, this study elucidates how stakeholders across the healthcare ecosystem assess quality from a strategic operating perspective. We identified a number of key drivers that underpin transactional relationships and that ultimately impact the results of standardized and publicly reported quality measures captured for payment, regulation, and public accountability purposes. While decisions regarding these relationships are internal matters and thus fall outside the scope of regulators, policymakers and regulators need to understand their importance and likely correlation with what is ultimately measured and used for payment, regulation, and public transparency.
Who's Not Talking? Nonresponse Bias in Healthcare Employee Well-Being Surveys.
Rhodes CA, Hu X, Freeman RB … +6 more , Agrawal R, Cherot E, Dardarian TS, Rouse S, Chan T, Blackburn B
J Healthc Manag · 2025 Sep-Oct 01 · PMID 40902096 · Full text
GOAL: Employee well-being surveys are essential tools used by healthcare leaders to assess workforce functioning, such as burnout, team dynamics, and perceptions of support, but surveys frequently have low response rates...
GOAL: Employee well-being surveys are essential tools used by healthcare leaders to assess workforce functioning, such as burnout, team dynamics, and perceptions of support, but surveys frequently have low response rates, which may skew results. Research on nonresponse bias is limited because of the difficulty in sourcing data on outcomes of interest from nonrespondents. This study aimed to examine whether nonrespondents and respondents differed on key outcomes of interest to healthcare leaders to understand whether results of an employee well-being survey were valid. Specifically, we examined differences between respondents and nonrespondents in terms of demographics, turnover over one-year postsurvey, and employee functioning such as productivity and work outside of regular work hours. By using objective data as a proxy for physician functioning, our innovative approach allowed us to study nonresponse bias without relying on a follow-up survey of nonrespondents. The goal was to inform leaders about potential biases that impact survey conclusions and, therefore, better interpret the survey results in decision-making. METHODS: The longitudinal study included physicians (N = 348) and advanced practitioners (APs) (i.e., physician assistants, nurse practitioners, and certified nurse midwives; N = 143) from obstetrics and gynecology clinics in the Midwest and Northwest United States, who were invited to complete an employee well-being survey in 2021. Data on demographics, turnover, and other workplace environment indicators-i.e., productivity measured by relative value units (RVUs), work outside of regular work hours, duration of encounters, and appointment cancellations-were collected from electronic health records (EHRs) and human resources information systems (HRIS). Employment status was tracked for 1.25 years post-survey. The study examined demographic differences (i.e., age, gender, race/ethnicity, marital status), assessed the relative risk of turnover at each quarter over 1.25 years, and evaluated differences in productivity and workplace variables between respondents and nonrespondents. For relative risk, we observed turnover differences between retirement age and below retirement age subgroups. PRINCIPAL FINDINGS: AP nonrespondents had a nearly 10 times higher risk in the full sample and a 12 times risk in the below-retirement age sample of turnover in the quarter after the survey was deployed. Physician nonrespondents below retirement age had a 5 times relative risk of turnover in the two quarters postsurvey. Among APs, nonrespondents were significantly older and more likely to be married; no differences existed for physicians. PRACTICAL APPLICATIONS: Results demonstrate that individuals at higher risk within an organization, as indicated by higher turnover risk and lower productivity, are less likely to fill out employee surveys. This suggests that employee survey results are skewed by nonresponse bias with respect to outcomes of interest, and that relying solely on survey data may lead to incorrect conclusions about workforce functioning, and subsequently, interventions that do not meet the needs of those most at risk within the organization. In addition to the valuable qualitative insights that surveys provide, healthcare leaders should leverage alternative data-collection methods, such as EHRs and HRIS data, to augment survey data and find out how nonrespondents differ from respondents. In this way, they can gain a comprehensive understanding of employee functioning to inform procedural and policy changes to enhance employee well-being and decrease negative outcomes, such as turnover and low productivity.
Volunteers Needed: Understanding African Americans' Perceptions of Clinical Trials and Intentions to Participate.
Ricks JM, Porter Iii M, Kemp E
J Healthc Manag · 2025 Sep-Oct 01 · PMID 40902095 · Publisher ↗
GOAL: African Americans lack participation in clinical trials, and therefore, are underrepresented in medical initiatives that can provide life-saving treatment. This research examines the attitudes, beliefs, and percept...
GOAL: African Americans lack participation in clinical trials, and therefore, are underrepresented in medical initiatives that can provide life-saving treatment. This research examines the attitudes, beliefs, and perceptions of African Americans toward participation in clinical trials. METHODS: Researchers conducted a survey using a representative sample of African Americans in the United States (n = 1,260). Structural equation modeling was used to analyze the data. PRINCIPAL FINDINGS: Findings indicate that behavioral beliefs about clinical trials are positively related to attitudes about participating in clinical trials. Furthermore, attitudes are positively related to intentions to participate in clinical trials. Participation in clinical trials is also dictated by social influence. Results indicate that what "important others" think about participation in clinical trials is positively related to trial participation; however, risk perceptions are negatively related to trial participation. Findings reveal that gender and educational attainment moderate risk perceptions. African American women and those with less educational attainment possess risk perceptions, which negatively influence their intention to participate in clinical trials. PRACTICAL APPLICATIONS: This research highlights how behavioral beliefs and attitudes are positively linked to participation intentions, while subjective norms further reinforce the influence of social pressures on decision-making. Importantly, risk perceptions serve as a significant barrier to participation, particularly among African American women and individuals with lower educational attainment. These findings point to the need for targeted interventions that address specific concerns and build trust through culturally informed, accessible communication. By developing communication strategies that enhance positive beliefs, leverage community influence, and reduce perceived risks, research and healthcare communities can take meaningful steps toward fostering inclusion and trust.
Redefining Mental Health Care Through Innovative, Personalized Support.
Walsh A
J Healthc Manag · 2025 Sep-Oct 01 · PMID 40902094 · Publisher ↗
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Chad T. Lefteris, FACHE, President and CEO, UCI Health, Orange County, California.
J Healthc Manag · 2025 Sep-Oct 01 · PMID 40902093 · Publisher ↗
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How Hospitals Can Respond to Declining Support for Public Health.
Ford EW
J Healthc Manag · 2025 Sep-Oct 01 · PMID 40902092 · Publisher ↗
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Characteristics of High-Performing Administrative Leaders in a Physician-Administrator Dyad in an Academic Medical Center.
Kang JY, Huang YL, Lee M … +2 more , Cerri P, Klavetter E
J Healthc Manag · 2025 Jul-Aug 01 · PMID 40623225 · Publisher ↗
GOAL: The purpose of the research is to explore, through the lens of organizational performance and staff satisfaction, the characteristics of administrative leaders working as dyad partners with physician leaders. METHO...
GOAL: The purpose of the research is to explore, through the lens of organizational performance and staff satisfaction, the characteristics of administrative leaders working as dyad partners with physician leaders. METHODS: All 54 administrative leaders from 71 clinical departments at the three US Mayo Clinic sites were invited to participate in the study. We used an unsupervised cluster analysis machine learning method to group the leaders based on their characteristics, as measured by the 32-dimension Occupational Personality Questionnaire (OPQ 32r), and we used a three-cluster model to explore the relationships between the clusters and the performance outcome. We took the department performance data from the previous year and compared the percentage of departments with the upward changes among the clusters. For staff survey data, we calculated the percentage of departments with scores that were above average among the three clusters for both physician and administrative staff responses. PRINCIPAL FINDINGS: Analysis of personality data revealed three different clusters. Cluster 1 leaders were caring and democratic, forward-thinking, strategic, optimistic, and trusting of others. Cluster 2 leaders were extremely hardworking and authoritative. Cluster 3 leaders were caring, modest, and rule-following. Cluster 1 leaders showed the best financial performance and sense of belonging among their followers, cluster 2 leaders elicited high engagement from their departments, and cluster 3 leaders encouraged lower burnout among staff members. PRACTICAL APPLICATIONS: From this study, we obtained empirical evidence of administrative leaders' characteristics that showed positive relationships with financial and staff-satisfaction metrics. The results showed that distinct types of leaders influence administrative staff and physician staff differently and that different situations require different styles of leadership. We can also conclude that implementing robust, scientifically validated tools to assess leadership traits and tendencies can positively affect leadership and organizational performance for healthcare organizations.
Mental Healthcare Utilization Among US Healthcare Workers During the COVID-19 Pandemic: Evidence from the 2020-2021 National Health Interview Survey.
Nguyen OT, Merlo LJ, Turner K … +4 more , Hong YR, Tabriz AA, Hanna K, Meese KA
J Healthc Manag · 2025 Jul-Aug 01 · PMID 40623224 · Publisher ↗
GOAL: Despite the well-documented mental health impact of the COVID-19 pandemic on healthcare workers (HCWs), the literature holds limited research on their use of mental healthcare. This study assessed the prevalence an...
GOAL: Despite the well-documented mental health impact of the COVID-19 pandemic on healthcare workers (HCWs), the literature holds limited research on their use of mental healthcare. This study assessed the prevalence and correlates of mental healthcare utilization among US HCWs, which can be used as baseline measurements to guide the evaluation of interventions and guide the development of those interventions. METHODS: We used the 2020-2021 US National Health Interview Survey and restricted our analytic sample to respondents who worked in healthcare settings and reported daily, weekly, or monthly mental health symptoms (unweighted n = 1,412). Our outcome variables were: (1) receiving anxiolytic or antidepressant prescriptions, (2) receiving psychotherapy, and (3) not utilizing either treatment. We conducted multivariable logistic regression models to identify factors associated with each outcome. Based on Andersen's behavioral model, we included predisposing factors (e.g., gender, healthcare role), enabling factors (e.g., social support, telehealth use), need factors (e.g., frequency of depressive or anxiety symptoms), and year. PRINCIPAL FINDINGS: We found that 32.1% of HCWs received prescriptions, 22.3% received psychotherapy, and 59.0% were not currently using mental healthcare. Overall, some predisposing, enabling, and need factors were associated with all three outcome variables for mental healthcare utilization among HCWs. For instance, when examining the odds of not reporting current use of mental healthcare services, odds were higher among HCWs who were non-Hispanic Black/African American (odds ratio [OR] = 1.90, 95% confidence interval [CI] [1.16-3.12]), or Hispanic (OR = 2.68, 95% CI [1.63-4.39]) compared to those who were non-Hispanic White. Higher odds were also observed among HCWs who reported rarely or never received adequate social support (OR = 1.94, 95% CI [1.04-3.62]) as compared to those who reported always receiving adequate social support, those who were male (OR = 1.47, 95% CI [1.00-2.16]), and those without a usual source of care (OR = 2.08, 95% CI [1.12-3.88]). Inversely, lower odds were observed among HCWs who reported themselves as not heterosexual (OR = 0.58, 95% CI [0.34-0.99]) and those who had used telehealth appointments (OR = 0.32, 95% CI [0.24-0.44]). Lower odds were also observed among HCWs with more frequent anxiety symptoms: monthly (OR = 0.42, 95% CI [0.20-0.88]), weekly (OR = 0.36, 95% CI [0.18-0.73]), or daily frequency (OR = 0.27, 95% CI [0.14-0.55]), compared to never or few times a year. A similar pattern was observed among HCWs with more frequent depressive symptoms: monthly (OR = 0.33, 95% CI [0.22-0.49]), weekly (OR = 0.15, 95% CI [0.09-0.24]), or daily (OR = 0.11, 95% CI [0.05-0.21]), compared to never or few times a year. No differences in any outcome variable by type of HCW (diagnosing vs. nondiagnosing roles) were observed. PRACTICAL APPLICATIONS: Our findings reveal a potential pattern of underutilization of mental health services among HCWs with mental health symptoms. To inform intervention design and delivery, additional research is needed to identify barriers to mental healthcare and preferences for their modalities that are specific to HCWs.
Addressing Information Asymmetry in Healthcare Through AI-Enhanced Patient Education.
Cooley J
J Healthc Manag · 2025 Jul-Aug 01 · PMID 40623223 · Publisher ↗
Healthcare administrators have historically accepted patient-level information asymmetry as an unavoidable complication of healthcare delivery, addressing it primarily through policy intervention and improved educational...
Healthcare administrators have historically accepted patient-level information asymmetry as an unavoidable complication of healthcare delivery, addressing it primarily through policy intervention and improved educational materials. This essay presents an innovative strategy leveraging artificial intelligence (AI) to bridge this communication gap. Beginning with an analysis of asymmetry's impact on healthcare delivery, the discussion examines how emerging AI capabilities could transform patient education and provider communication. The growing adoption of telehealth services demonstrates an increasingly tech-savvy patient population receptive to digital healthcare solutions. This essay also addresses implementation concerns, including technical infrastructure requirements, and provides recommendations for overcoming these challenges. Finally, a cost-benefit analysis examines initial investment requirements and projected organizational savings, offering healthcare administrators a framework for evaluating a technological solution to persistent information asymmetry in healthcare.
MEND the Divide: A Pathway to Equitable Maternal Care in the United States.
Fincher T
J Healthc Manag · 2025 Jul-Aug 01 · PMID 40623222 · Publisher ↗
Maternal mortality rates in the United States are far exceeding those of other developed nations. This healthcare crisis is disproportionately affecting marginalized populations, including Black women and women living in...
Maternal mortality rates in the United States are far exceeding those of other developed nations. This healthcare crisis is disproportionately affecting marginalized populations, including Black women and women living in rural communities. The MEND framework-developed through extensive research and informed by real-world case studies-offers a comprehensive and equity-driven solution to address existing disparities and improve maternal health outcomes nationwide. This framework emphasizes four objectives (or pillars), named after the first letter of each pillar: (1) Maternal care integration, (2) Equity-driven policies, (3) Navigated support, and (4) Driving collaboration. Each pillar presents actionable strategies to reduce maternal mortality and morbidity in the United States. The MEND framework offers a comprehensive, scalable roadmap for systemic change to help ensure equitable, high-quality care for all mothers.
Leading-Edge Care: Where High Tech Meets High Touch.
Rissmiller S
J Healthc Manag · 2025 Jul-Aug 01 · PMID 40623221 · Publisher ↗
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