This article defines a charitable nonprofit organization as financially vulnerable if it is likely to cut service offerings immediately when a financial shock occurs. It discusses why the vulnerability of the nonprofit sector is of interest to researchers, explores the destabilizing role of third-party finance, considers the reasons for the lack of research on vulnerability, and presents a conceptual framework for identifying finan cially vulnerable nonprofits. Four vulnerability criteria are defined and applied to a 1983 national sample of tax returns filed by 4,730 U.S. charitable nonprofits. The financial data of at-risk organizations are then analyzed to discern the characteristics of vulnerable and other nonprofit organizations.

The findings of low patient adherence and the impact of adherence on relapses and healthcare resource utilization strongly suggest opportunities to reduce healthcare resource utilization and healthcare costs among RRMS patients taking interferon-beta therapy. Efforts should be undertaken to understand and improve medication-taking behaviour in this population so as to minimize the negative impacts of RRMS on patients while reducing unnecessary direct and indirect costs to treat disease exacerbations.

Although the non-profit literature has grown substantially, the issue of how revenue diversification affects non-profits has not been fully explored. This paper presents several disciplinary perspectives regarding the financing of non-profits, what determines their ability to diversify, and the consequent effects on their behaviour. It first develops an index for measuring revenue diversification and applies it to a national sample of charitable non-profits. The results indicate that, while the perception that most non-profits rely on a single revenue source is exaggerated, the institutions in our sample have somewhat concentrated revenue. Our findings also suggest that the activity of a non-profit and the proportion of its expenditures that it devotes to fund-raising affect its ability to diversify its revenues concentration. While a number of anomalies exist, the weight of our evidence suggests that diversified revenue sources are more likely to be associated with a strong financial position than are concentrated revenue sources. Researchers interested in studying the life-cycle of non-profits, the factors that give rise to stability and growth, and the constraints on non-profit behaviour would do well to consider the diversification index presented in this paper. IntroductionUntil recently, researchers have paid scant attention to how diversified the revenue sources of non-profit organisations are. While a recent book by Gronbjerg (1993) provides a rich set of materials from which researchers can frame interesting behavioural hypotheses, many interesting issues remain to be studied. In part, this is because of the absence of good data, but it also reflects the difficulty in finding acceptable 274Cyril F. Chang and Howard P. Tuckman measures of revenue diversification.In this paper, we contrast several disciplinary perspectives regarding how funding sources affect non-profit behaviour. A resource measure is then developed to compress many revenue sources into a single diversification index. We use this index, and a taxonomy based on the activities that non-profits engage in, to measure revenue diversificafion among charitable non-profits. The paper is organised as follows. The second section contains a brief exploration of several disciplinary perspectives on the relationship between revenue sources and non-profit behaviour. A diversification index is then developed and quantitative estimates of the degree of diversification are presented. Several propositions are then explored regarding the relationship between revenue diversification and the attributes of non-profits. Finally, we explore the relationship between diversification and financial position. The paper ends with a discussion of how our results support several of the disciplinary theories regarding non-profit behaviour. Disciplinary perspectives on non-profit revenue sourcesEconomists approach the role of non-profit revenues from a different perspective than non-economists. At least two branches of economics shed light on how revenues affect d...

This study explores the use of mobile health applications (mHealth apps) on smartphones or tablets for health-seeking behavior among US adults. Data was obtained from cycle 4 of the 4th edition of the Health Information National Trends Survey (HINTS 4). Weighted multivariate logistic regression models examined predictors of 1) having mHealth apps, 2) usefulness of mHealth apps in achieving health behavior goals, 3) helpfulness in medical care decision-making, and 4) asking a physician new questions or seeking a second opinion. Using the Andersen Model of health services utilization, independent variables of interest were grouped under predisposing factors (age, gender, race, ethnicity, and marital status), enabling factors (education, employment, income, regular provider, health insurance, and rural/urban location of residence), and need factors (general health, confidence in their ability to take care of health, Body Mass Index, smoking status, and number of comorbidities). In a national sample of adults who had smartphones or tablets, 36 % had mHealth apps on their devices. Among those with apps, 60 % reported the usefulness of mHealth apps in achieving health behavior goals, 35 % reported their helpfulness for medical care decision-making, and 38 % reported their usefulness in asking their physicians new questions or seeking a second opinion. The multivariate models revealed that respondents were more likely to have mHealth apps if they had more education, health insurance, were confident in their ability to take good care of themselves, or had comorbidities, and were less likely to have them if they were older, had higher income, or lived in rural areas. In terms of usefulness of mHealth apps, those who were older and had higher income were less likely to report their usefulness in achieving health behavior goals. Those who were older, African American, and had confidence in their ability to take care of their health were more likely to respond that the mHealth apps were helpful in making a medical care decision and asking their physicians new questions or for a second opinion. Potentially, mHealth apps may reduce the burden on primary care, reduce costs, and improve the quality of care. However, several personal-level factors were associated with having mHealth apps and their perceived helpfulness among their users, indicating a multidimensional digital divide in the population of US adults.