The determinants of nonprofit hospital CEO compensation.

Hospital CEO salaries have grown quickly over the past two decades. We investigate correlates of rising nonprofit hospital CEO pay between 2012 and 2019 by merging compensation data from Candid's IRS 990 forms with hospital data from the National Academy for State Health Policy Hospital Cost Tool. Almost half of the measured increase in CEO compensation (44.5%) accrued to a "base case" CEO, who was leading a non-teaching hospital system or independent hospital with fewer than 100 beds that earned 0 profits and provided no charity care. Another 28.5% of the measured salary increase resulted from changes in the generosity with which observable metrics were rewarded, particularly the reward for heading a system with 500 or more beds. The remaining 27% resulted mostly from hospital systems or single hospitals that increased their profits or bed size over time. The increase in CEO compensation associated with leading larger healthcare systems and earning greater profits may explain the increase in healthcare system consolidation which has occurred over the last several years.

National Overview of Nonprofit Hospitals' Community Benefit Programs to Address Housing.

BACKGROUND: Housing is a critical social determinant of health that can be addressed through hospital-supported community benefit programming. OBJECTIVES: To explore the prevalence of hospital-based programs that address housing-related needs, categorize the specific actions taken to address housing, and determine organizational and community-level factors associated with investing in housing. RESEARCH DESIGN: This retrospective, cross-sectional study examined a nationally representative dataset of administrative documents from nonprofit hospitals that addressed social determinants of health in their federally mandated community benefit implementation plans. We conducted descriptive statistics and bivariate analyses to examine hospital and community characteristics associated with whether a hospital invested in housing programs. Using an inductive approach, we categorized housing investments into distinct categories. MEASURES: The main outcome measure was a dichotomous variable representing whether a hospital invested in one or more housing programs in their community. RESULTS: Twenty percent of hospitals invested in one or more housing programs. Hospitals that addressed housing in their implementation strategies were larger on average, less likely to be in rural communities, and more likely to be serving populations with greater housing needs. Housing programs fell into 1 of 7 categories: community partner collaboration (34%), social determinants of health screening (9%), medical respite centers (4%), community social determinants of health liaison (11%), addressing specific needs of homeless populations (16%), financial assistance (21%), and targeting high-risk populations (5%). CONCLUSIONS: Currently, a small subset of hospitals nationally are addressing housing. Hospitals may need additional policy support, external partnerships, and technical assistance to address housing in their communities.

A Typology of Social Media Use by Human Service Nonprofits: Mixed Methods Study.

BACKGROUND: Nonprofit organizations are increasingly using social media to improve their communication strategies with the broader population. However, within the domain of human service nonprofits, there is hesitancy to fully use social media tools, and there is limited scope among organizational personnel in applying their potential beyond self-promotion and service advertisement. There is a pressing need for greater conceptual clarity to support education and training on the varied reasons for using social media to increase organizational outcomes. OBJECTIVE: This study leverages the potential of Twitter (subsequently rebranded as X [X Corp]) to examine the online communication content within a sample (n=133) of nonprofit sexual assault (SA) centers in Canada. To achieve this, we developed a typology using a qualitative and supervised machine learning model for the automatic classification of tweets posted by these centers. METHODS: Using a mixed methods approach that combines machine learning and qualitative analysis, we manually coded 10,809 tweets from 133 SA centers in Canada, spanning the period from March 2009 to March 2023. These manually labeled tweets were used as the training data set for the supervised machine learning process, which allowed us to classify 286,551 organizational tweets. The classification model based on supervised machine learning yielded satisfactory results, prompting the use of unsupervised machine learning to classify the topics within each thematic category and identify latent topics. The qualitative thematic analysis, in combination with topic modeling, provided a contextual understanding of each theme. Sentiment analysis was conducted to reveal the emotions conveyed in the tweets. We conducted validation of the model with 2 independent data sets. RESULTS: Manual annotation of 10,809 tweets identified seven thematic categories: (1) community engagement, (2) organization administration, (3) public awareness, (4) political advocacy, (5) support for others, (6) partnerships, and (7) appreciation. Organization administration was the most frequent segment, and political advocacy and partnerships were the smallest segments. The supervised machine learning model achieved an accuracy of 63.4% in classifying tweets. The sentiment analysis revealed a prevalence of neutral sentiment across all categories. The emotion analysis indicated that fear was predominant, whereas joy was associated with the partnership and appreciation tweets. Topic modeling identified distinct themes within each category, providing valuable insights into the prevalent discussions surrounding SA and related issues. CONCLUSIONS: This research contributes an original theoretical model that sheds light on how human service nonprofits use social media to achieve their online organizational communication objectives across 7 thematic categories. The study advances our comprehension of social media use by nonprofits, presenting a comprehensive typology that captures the diverse communication objectives and contents of these organizations, which provide content to expand training and education for nonprofit leaders to connect and engage with the public, policy experts, other organizations, and potential service users.

Exploring the Distribution of 3D-Printed Simulator Designs Using Open-Source Databases to Facilitate Simulation-Based Learning Through a University and Nonprofit Collaboration: Protocol for a Scoping Review.

BACKGROUND: Advancements in technology have enhanced education, training, and application in health care. However, limitations are present surrounding the accessibility and use of simulation technology (eg, simulators) for health profession education. Improving the accessibility of technology developed in university-based research centers by nonprofit organizations (NPOs; eg, hospitals) has the potential to benefit the health of populations worldwide. One example of such technology is 3D-printed simulators. OBJECTIVE: This scoping review aims to identify how the use of open-source databases for the distribution of simulator designs used for 3D printing can promote credible solutions for health care training while minimizing the risks of commercialization of designs for profit. METHODS: This scoping review will follow the Arksey and O'Malley methodological framework and the Joanna Briggs Institute guidance for scoping reviews. Ovid MEDLINE, CINAHL, Web of Science, and PsycINFO will be searched with an applied time frame of 2012 to 2022. Additionally, gray literature will be searched along with reference list searching. Papers that explore the use of open-source databases in academic settings and the health care sector for the distribution of simulator designs will be included. A 2-step screening process will be administered to titles and abstracts, then full texts, to establish paper eligibility. Screening and data extraction of the papers will be completed by 2 reviewers (MS and SS) for quality assurance. The scoping review will report information on the facilitation of distributing 3D-printed simulator designs through open-source databases. RESULTS: The results of this review will identify gaps in forming partnerships with NPOs and university-based research centers to share simulator designs. The scoping review will be initiated in December 2024. CONCLUSIONS: The information collected will be relevant and useful for stakeholders such as health care providers, researchers, and NPOs for the purpose of overcoming the gaps in research regarding the use and distribution of simulation technology. The scoping review has not been conducted yet. Therefore, there are currently no findings to report on. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/53167.

Researcher, research thyself? Mapping the landscape of canine health and welfare research funding provided by UK not-for-profit organisations from 2012-2022.

BACKGROUND: Research into canine health and welfare is supported by Government, charitable and private UK funding organisations. However, there is no current overall visibility or coordination of these funding activities, potentially compromising optimal distribution of limited resources. This study aimed to survey UK canine health and welfare funding by not-for-profit funders between 2012 and 2022, providing a novel baseline analysis to inform future sector stakeholder priorities. RESULTS: Funding data were collected from 10 wide-scope funders (UK Government funding councils and medical charities), 18 animal-directed funders (organisations specifically concerned with animal health and welfare) and 81 breed community groups. These 109 UK funders together provided traceable canine-relevant funding of £57.8 million during the surveyed period, comprising 684 individual grant awards supporting over 500 separate research projects. Wide-scope funders contributed £41.2 million (71.2% of total funding); animal-directed organisations, £16.3 million (28.1% of total funding); and breed-specific groups, £370K (0.6% of total funding). Individual grants ranged from £2.3 million to £300. Funding patterns varied between sectors. Animal-directed funders provided £14.7 million of canine-relevant research funding that foregrounded the dog, 73% of all such funding; wide-scope funders provided £17.5 million of canine-relevant One Health research funding, 97% of all such funding. Customised metrics developed for this study assessed the 'benefit to the dog' and 'pathway to impact' of individual research projects. Overall, studies supported by animal-directed funders achieved significantly higher 'benefit to the dog' scores (Mann-Whitney U = 45235, p<0.001) and 'pathway to impact' scores (Mann-Whitney U = 43506.5, p<0.001) than those supported by wide-scope funders. CONCLUSION: The landscape of UK not-for-profit funding of canine health and welfare research is complex, with considerable variation between providers. Although wide-scope funders provide the majority of overall canine-relevant research funding, animal-directed funders provide the majority of canine-focused funding and support research with greater direct impact on canine welfare. Visibility of past funding patterns will enable stakeholders in this sector to make more informed decisions about future research. DEFINITIONS: To increase clarity, certain words and phrases are used in specific ways within the context of this paper. Animal-directed funders-Charities and other funding organisations whose remit primarily concerns animals or veterinary work Canine-focused research-Investigations where the primary purpose is to advance understandings of canine health and/or welfare Canine-relevant research-All research that is framed as advancing understandings of canine health and/or welfare as a primary or subsidiary purpose Institution-Refers to universities and other centres where research is carried out Organisation-Refers to funding bodies, including research councils, charities and other groups Research grant-A single funding event originating from one or more funders Research project-A cohesive piece of research concerning a particular topic; may involve multiple researchers and/or multiple research grants, in series or in parallel Wide-scope funders-Large organisations whose remit does not primarily concern animals, i.e. (in this dataset) UKRI councils and the Wellcome Trust.

Early career researchers in health policy and systems research: insights from freelancers in a non-profit organization in the Philippines.

BACKGROUND: The freelance economy has seen rapid growth worldwide in recent years and the Philippines is not an exception. Freelance workers are becoming increasingly common in healthcare and research. Early career researchers carry out most of scientific research and can play a critical role in advancing public health by bringing new perspectives and diversity to the field. Existing literature has mostly focused on the experiences of early career researchers in an institutional academic setting. This study aimed to understand the experiences of freelance early career researchers in the health policy and systems space in the Philippines. METHODS: This qualitative study collected data from 18 to 22 March 2022 through virtual interview and focus group discussions. Themes and codes were created based on the topic guide developed. New themes and codes were generated as they emerged. Two researchers coded the data using both a priori and emergent codes. Any coding conflicts were resolved through discussions until intercoder agreement was reached. Interpretation and conclusions from the data were developed by 2 researchers with consideration for its context and relationship between themes. RESULTS: Fifteen current and former freelance researchers participated in the study. Most are female, under 35 years old, and with an undergraduate degree as the highest educational attainment. The findings highlight insights and challenges faced by early career researchers in aspects of: (1) work arrangement, (2) tasks, (3) expectations from senior researchers, (4) development in the health policy and systems field, (5) relationship with peers, and (6) motivations for continuing to work as a freelance health policy and systems researcher. CONCLUSION: This study reveals the challenges freelance early career researchers face, highlighting the need for enhanced support and recognition amidst rapidly evolving workforce demands and complex health dilemmas. Recommendations include structured mentorship, professional development, innovative funding models, and the establishment of a supportive network. Advocacy for policies ensuring freelancer inclusion in the economy and policy-making is crucial. Future research should investigate their experiences further, including their roles, transitions, and the impacts of funding trends, to foster their development and integration into public health research and policy.

The internal organizational performance influence factors study-an empirical test.

With the changes of social and economic development, more and more people pay attention to the development of non-profit organizations, and the performance research of non-profit organizations has become the focus of research. As the internal governance organization of non-profit organization, the board of directors and the management organization are related internal factors that will affect the organizational performance of non-profit organization. Based on the data of Form 990 of the US Internal Revenue Service, this paper conducted an empirical study on the relationship between internal governance and organizational performance of non-profit organizations, and studied the moderating effects of board size, average weekly working hours, number of managers, members' work involvement and compensation incentives on internal governance and organizational performance of non-profit organizations. The results show that the number of managers in non-profit organizations is negatively correlated with organizational performance, the average weekly working hours of managers are significantly correlated with organizational performance, and the compensation of managers is significantly correlated with organizational performance. Through the empirical demonstration, this study promotes the management and development practice of non-profit organizations, and lays a solid foundation for the construction of socialist harmonious society in China.

Mapping philanthropic support of science.

While philanthropic support for science has increased in the past decade, there is limited quantitative knowledge about the patterns that characterize it and the mechanisms that drive its distribution. Here, we map philanthropic funding to universities and research institutions based on IRS tax forms from 685,397 non-profit organizations. We identify nearly one million grants supporting institutions involved in science and higher education, finding that in volume and scope, philanthropy is a significant source of funds, reaching an amount that rivals some of the key federal agencies like the NSF and NIH. Our analysis also reveals that philanthropic funders tend to focus locally, indicating that criteria beyond research excellence play an important role in funding decisions, and that funding relationships are stable, i.e. once a grant-giving relationship begins, it tends to continue in time. Finally, we show that the bipartite funder-recipient network displays a highly overrepresented motif indicating that funders who share one recipient also share other recipients and we show that this motif contains predictive power for future funding relationships. We discuss the policy implications of our findings on inequality in science, scientific progress, and the role of quantitative approaches to philanthropy.

Jail-Based For-Profit Mental Health Providers and Treatment Engagement After Release.

OBJECTIVE: This study compared mental health treatment engagement among people with serious mental illness after release from jails that had either a for-profit (N=3 jails) or a nonprofit mental health provider (N=7 jails). METHODS: Across the 10 jails, data were collected in 2019 for 1,238 individuals with serious mental illness. Data included demographic characteristics (age, race-ethnicity, gender, geography, and jail type) and behavioral health variables (previous mental health treatment, psychotropic medication use, substance use, and receipt of jail-based mental health services). Logistic regression was used to predict treatment engagement during the year after release, stratified by type of jail-based mental health provider, in analyses controlled for demographic and behavioral health variables. RESULTS: Almost half (46%, N=573) of the individuals had stayed in jails with a for-profit mental health provider; the other half (54%, N=665) had stayed in jails with a nonprofit provider. In the year after release, 37% (N=458) of all individuals engaged in mental health treatment, and 63% (N=780) did not. Those who had stayed in a jail with a for-profit provider were significantly less likely to engage in mental health treatment during the year after release (AOR=0.59, 95% CI=0.42-0.83, p<0.01), compared with those in jails having a nonprofit provider. CONCLUSIONS: Staying in a jail with a for-profit mental health provider was associated with reduced postrelease engagement with community service providers. Less engagement with services during a pivotal time after release may increase behavioral health crises that erode individuals' well-being and may raise downstream costs due to further criminal legal involvement and emergency care use.

Alignment of substance use community benefit prioritization and service lines in US hospitals: a cross-sectional study.

BACKGROUND: Non-profit hospitals in the U.S. are required by the 2010 Patient Protection and Affordable Care Act (ACA) to conduct a community health needs assessment (CHNA) every three years and to formulate an implementation strategy in response to those needs. Hospitals often identify substance use as a need relevant to their communities in their CHNAs and then must determine whether to create strategies to address such a need within their implementation strategies. The aim of this study is to assess the relationship between a hospital's prioritization of substance use within its community benefit documents and its substance use service offerings, while considering other hospital and community characteristics. METHODS: This study of a national sample of U.S. hospitals utilizes data collected from publicly available CHNAs and implementation strategies produced by hospitals from 2018 to 2021. This cross-sectional study employs descriptive statistics and multivariable analysis to assess relationships between prioritization of substance use on hospital implementation strategies and the services offered by hospitals, with consideration of community and hospital characteristics. Hospital CHNA and strategy documents were collected and then coded to identify whether the substance use needs were prioritized by the hospital. The collected data were incorporated into a data set with secondary data sourced from the 2021 AHA Annual Survey. RESULTS: Multivariable analysis found a significant and positive relationship between the prioritization of substance use as a community need on a hospital's implementation strategy and the number of the services included in this analysis offered by the hospital. Significant and positive relationships were also identified for five service categories and for hospital size. CONCLUSIONS: The availability of service offerings is related both to a hospital's prioritization of substance use and to its size, indicating that these factors are likely inter-related regarding a hospital's sense of its ability to address substance use as a community need. Policymakers should consider why a hospital may not prioritize a need that is prevalent within their community; e.g., whether the organization believes it lacks resources to take such steps. This study also highlights the value of the assessment and implementation strategy process as a way for hospitals to engage with community needs.

Introducing a Measure of Hospital Community Orientation.

Policymakers have long sought to encourage hospitals to assume a more collaborative role in improving community health. By urging hospitals to interact with community stakeholders, more integrative relationships may result that can better address local health issues. This study establishes a composite measure of hospital community orientation, defined as the extent to which a hospital uses community resources and knowledge in its community benefit (CB) work, based on an expansion of CB regulations that require nonprofit hospitals (NPHs) to develop strategies to address prioritized health issues. We collected data on each proposed intervention from 125 randomly selected NPHs over three reporting periods. Confirmatory factor analysis was used to assess how well a single-factor model approximated community orientation. We conclude that using hospital community orientation measurement is a useful metric to assess the effects of expanded CB regulations, as well as to determine how NPHs have interacted with communities over time.

Threatening Nonprofit Hospital Tax Exemption: A Better Path Forward.

This Viewpoint discusses regulation of nonprofit hospitals in a way that will advance their charitable purposes without eliminating their tax exemption status.

Upper Airway-Related Symptoms According to Mental Illness and Sleep Disorders among Workers Employed by a Large Non-Profit Organization in the Mountain West Region of the United States.

The relationships between selected upper airway-related symptoms (speech disturbances, voice disorders, cough, and breathing abnormalities) and mental illness and sleep disorders have been previously demonstrated. However, these relationships have not been compared in a single study with consideration of potential confounding variables. The current research incorporates a descriptive study design of medical claims data for employees (~21,362 per year 2017-2021) with corporate insurance to evaluate the strength of these relationships, adjusting for demographic variables and other important confounders. The upper airway-related symptoms are each significantly and positively associated with several mental illnesses and sleep disorders, after adjusting for demographic and other potential confounders. The rate of any mental illness is 138% (95% CI 93-195%) higher for speech disturbances, 55% (95% CI 28-88%) higher for voice disorders, 28% (95% CI 22-34%) higher for cough, and 58% (95% CI 50-66%) higher for breathing abnormalities, after adjustment for the confounding variables. Confounding had significant effects on the rate ratios involving cough and breathing abnormalities. The rate of any sleep disorder is 78% (95% CI 34-136%) higher for speech disturbances, 52% (95% CI 21-89%) higher for voice disorders, 34% (95% CI 27-41%) higher for cough, and 172% (95% CI 161-184%) higher for breathing abnormalities, after adjustment for the confounding variables. Confounding had significant effects on each of the upper airway-related symptoms. Rates of mental illness and sleep disorders are positively associated with the number of claims filed for each of the upper airway-related symptoms. The comorbid nature of these conditions should guide clinicians in providing more effective treatment plans that ultimately yield the best outcome for patients.

The Diversity of Institutions Conducting Biomedical Research.

Biomedical research in the United States has contributed enormously to science and human health and is conducted in several thousand institutions that vary widely in their histories, missions, operations, size, and cultures. Though these institutional differences have important consequences for the research they conduct, the organizational taxonomy of US biomedical research has received scant systematic attention. Consequently, many observers and even participants are surprisingly unaware of important distinguishing attributes of these diverse institutions. This essay provides a high-level taxonomy of the institutional ecosystem of US biomedical research; illustrates key features of the ecosystem through portraits of eight institutions of varying age, size, culture, and missions, each representing a much larger class exhibiting additional diversity; and suggests topics for future research into the research output of institutional types that will be required to develop novel approaches to improving the function of the ecosystem.