The public health measures implemented in response to the COVID-19 pandemic have resulted in a substantially increased shared reliance on private infrastructure and digital services in areas such as healthcare, education, retail, and the workplace. This development has (i) granted a number of private actors significant (informational) power, and (ii) given rise to a range of digital surveillance practices incidental to the pandemic itself. In this paper, we reflect on these secondary consequences of the pandemic and observe that, even (...) though collateral data disclosure and additional activity monitoring appears to have been generally socially accepted as inevitable consequences of the pandemic, part and parcel of a larger conglomeration of emergency compromises, these increased surveillance practices were not directly justified by appeals to solidarity and public health in the same way that the instigating public health measures were. Based on this observation, and given the increased reliance on private actors for maintaining the digital space, we argue that governments have a duty to (i) seek and ensure that there are justifications for collateral data disclosure and activity monitoring by private actors in the context of (future) public health emergencies like the COVID-19 pandemic, and (ii) regulate and provide accountability mechanisms for and oversight over these private surveillance practices on par with governmental essential services that engage in surveillance activities. (shrink)

Patient-reported outcome measures are now common endpoints in clinical trials. In 2009 in an effort to standardize and streamline their use in medical product labeling, the FDA published FDA Guidance for Industry Patient-Reported Outcomes Measures: Use in Medical Product Development to Support Labeling Claims. This publication drew attention to the need to ensure that PROMs are methodologically sound. Nonetheless, in this paper I discuss how many of these measures continue to fall short in terms of validity, interpretability, and responsiveness. As (...) a reaction to these shortcomings, researchers increasingly call for the development of more scientific measures. I argue that although improving PROMs’ measurement properties is a worthy endeavor, we should not be uncritical of these attempts. Calling for improved measures in the name of science should not blind us to the way that even our best measures employ values in their development—values that may further the marketing needs of industry. When values are needed to further our scientific ends, it behooves us to examine them in terms of their social consequences. Thus I argue that we ought to consider not only the scientific advances that new PROMs may bring but also the values that are used to develop them. (shrink)

This study explored calibrating a large item bank for use in multidimensional health measurement with computerized adaptive testing, using both item responses and response time (RT) information. The Activity Measure for Post-Acute Care is a patient-reported outcomes measure comprised of three correlated scales (Applied Cognition, Daily Activities, and Mobility). All items from each scale are Likert type, so that a respondent chooses a response from an ordered set of four response options. The most appropriate item response theory model (...) for analyzing and scoring these items is the multidimensional graded response model (MGRM). During the field testing of the items, an interviewer read each item to a patient and recorded, on a tablet computer, the patient’s responses and the software recorded RTs. Due to the large item bank with over 300 items, data collection was conducted in four batches with a common set of anchor items to link the scale. Van der Linden’s (2007) hierarchical modeling framework was adopted. Several models, with or without interviewer as a covariate and with or without interaction between interviewer and items, were compared for each batch of data. It was found that the model with the interaction between interviewer and item, when the interaction effect was constrained to be proportional, fit the data best. Therefore, the final hierarchical model with lognormal model for RT and the MGRM for response data was fitted to all batches of data via a concurrent calibration. Evaluation of parameter estimates revealed that (1) adding response time information did not affect the item parameter estimates and their standard errors significantly; (2) adding response time information helped reduce the standard error of patients’ multidimensional latent trait estimates, but adding interviewer as a covariate did not result in further improvement. Implications of the findings for follow up adaptive test delivery design are discussed. (shrink)

One of most pertinent and acute risks that the world is now facing is emerging or re-emerging zoonotic diseases. This article focuses on culling as a measure for zoonotic disease control, specifically the culling of 11,000 badgers as part of the Randomized Badger Culling Trial in the UK and the culling exercises in Singapore. The independent expert panel that devised the UK study concluded that reactive culling was ineffective in reducing the cases of bovine tuberculosis in cattle. The panel also (...) concluded that proactive culling was not cost-effective. Behind the scarcity of empirical evidence to support culling, the resultant reduction in biodiversity can actually harm both animals and humans. Public health policies should be evidence-based, culturally adaptable and ethically justified; a novel biomedical and public health approach, named One Health, plausibly provides a reasonable ethical framework as well as research and interventional methods that square with that framework. OH recognizes that nonhuman animals and humans are interlinked in both sickness and health, since we all share the same ecosystem. OH could potentially replace standard public health strategies, as it provides alternative evidence-based methods for biomedical research and adds a non-anthropocentric component to an ethical decision-making process. (shrink)

Quantitative health risk assessment is a procedure for estimating the likelihood that exposure to environmental contaminants will produce certain adverse health effects, most commonly cancer. One instance of its use has been a California air toxics public “right-to-know” law. This article examines the ways in which credible health risk measurements were produced and challenged during the implementation of the California public policy. Fieldwork and documentary analysis finds that stakeholders negotiated within the formal constraints of the risk assessment (...) procedures but still expressed their competing visions for the implementation of the risk communication policy. The abstract results of the method were contextualized according to different time frames and allocations of uncertainty. Furthermore, the article demonstrates that the political process privileged consistency of measurement over accuracy, revealing political negotiations at a fundamentally technical level. The struggle and variation in interpretations can be explained best by the demand to organize the program around the discordant values of democratic accountability and technical efficiency. (shrink)

Imagine a future in which a country’s government is thinking about whether to pursue human enhancement. There are several ways that humans might be enhanced, among them physical aids, pharmaceutical interventions, and genetic modification. In this imagined scenario...

Should people have a legal human right to health? And, if so, what exactly does protecting this right require? This essay defends some answers to these questions recently articulated in Global Health Impact. It explains how these answers depend on a particular way of thinking about health and the minimally good life, how quality of life matters at and over time, what various agents should do to help people who are unable to live well enough, and many (...) other things. Moreover, it suggests some ways of improving common metrics for measuring and advancing our collective global health impact. (shrink)

Summary measures of health, such as the quality-adjusted life year and disability-adjusted life year, have long been known to incorporate a number of value choices. In this paper, though, I show that the value choices in the construction of such measures extend far beyond what is generally recognized. In showing this, I hope both to improve the understanding of those measures by epidemiologists, health economists and policy-makers, and also to contribute to the general debate about the extent to (...) which such measures should be adjusted to reflect ethical values. (shrink)

Employee health is not only positively related to the employee well-being and family happiness, but also impacts organizations, and society as a whole. We searched the health-promoting leadership literature in the following databases: Web of Science, ProQuest, EBSCO, and a Chinese local database. Based on this research, we clarify the concept of health-promoting leadership, propose a definition of health-promoting leadership, and examine measurement scales for this type of leadership. We also suggest a research framework for (...) health-promoting leadership, demonstrating its potential outcomes at both the individual level and the organizational level ; the mechanisms for its development based on conservation of resources theory, the job demands–resources model, social learning theory, and social exchange theory; and antecedents. Finally, we identify six potential research areas: Research level, performance, the impacts of health-promoting leaders on themselves, moderators, research methods, and intervention effects on health-promoting leadership. (shrink)

ABSTRACT Most of the world's health problems afflict poor countries and their poorest inhabitants. There are many reasons why so many people die of poverty‐related causes. One reason is that the poor cannot access many of the existing drugs and technologies they need. Another, is that little of the research and development (R&D) done on new drugs and technologies benefits the poor. There are several proposals on the table that might incentivize pharmaceutical companies to extend access to essential drugs (...) and technologies to the global poor.1 Still, the problem remains – the poor are suffering and dying from lack of access to essential medicines. So, it is worth considering a new alternative. This paper suggests rating pharmaceutical and biotechnology companies based on how some of their policies impact poor people's health. It argues that it might be possible to leverage a rating system to encourage companies to extend access to essential drugs and technologies to the poor. (shrink)

Experiences of racial discrimination can seem to be caused by one’s race, a combination of social identities, or non-social features. In other words, racial discrimination can be intersectional or attributionally ambiguous. This poses challenges for current understandings and measurement tools of racial discrimination in public health research, such as the explanation of racial health disparities. Different kinds of discriminatory experiences plausibly produce different psychological effects that mediate their negative health impacts. Thus, multiple characterizations and measurements of (...) racial discrimination are needed. As a result, I argue that racial discrimination should be a polysemous concept (with multiple meanings). (shrink)

Which inequalities in longevity and health among individuals, groups, and nations are unfair? And what priority should health policy attach to narrowing them? These essays by philosophers, economists, epidemiologists, and physicians attempt to determine how health inequalities should be conceptualized, measured, ranked, and evaluated.

As governments around the world imposed lockdowns or stay-at-home measures, people began to feel the stress as time dragged on. There were already reports on some individuals committing suicide. How do governments respond to such a phenomenon? Our main focus is the Philippine government and how it responded to the COVID-19 pandemic. In this paper, we argue that the problem with COVID-19 went forth just dealing with physical health. First, people suffer not just from being infected but the psychological (...) stress of possibly getting the virus and the toll of the government lockdown or quarantine. Second, the Philippine Bayanihan ‘We Heal As One Act’ lacks focus on mental health issues while the government's response seemed to focus on security issues. Third, there are countries around the world that have acted effectively in protecting people’s mental health. Lastly, we propose appropriate measures to help address the people's mental health while still in the pandemic and for a future one. (shrink)

There is no way literally to measure health, because health is multi-dimensional, and there is no metric whereby one person who is healthier than a second with respect to one dimension but less healthy with respect to another counts as healthier, less healthy or equally healthy overall. Health analysts instead measure how good or bad health states are in some regard. If these values are measures of health states, then identical health states must have (...) identical values. But in different circumstances, the same health state may have different values. It may be better or worse. Uniform values can nevertheless be assigned to kinds of health states, either as a weighted average of the values of their tokens or as the value of the performance in a standard environment of the capacity the health state constitutes. These uniform values are not well suited for some of the purposes for which summary measures of population health have been intended, and a set of non-evaluative indicators may be an attractive alternative. (shrink)

Recent years have witnessed a growing interest in the measurement of health status. One of the most well-known health status instruments is the Sickness Impact Profile (SIP). This paper examines the nature, development and testing of the SIP (and its UK equivalent the FLP). The practical merits of these instruments are explained, and some cautionary remarks are offered about their limitations.

On page 1 of his classic text, Millsap states, “Measurement invariance is built on the notion that a measuring device should function the same way across varied conditions, so long as those varied conditions are irrelevant [emphasis added] to the attribute being measured.” By construction, measurement invariance techniques require not only detecting varied conditions but also ruling out that these conditions inform our understanding of measured domains. In fact, measurement invariance techniques possess great utility when theory and (...) research inform their application to specific, varied conditions that, if not detected, introduce measurement biases, and, thus, depress measurement validity. Yet, we see emerging bodies of work where scholars have “put the cart before the horse” when it comes to measurement invariance, and they apply these techniques to varied conditions that, in fact, may reflect domain-relevant information. These bodies of work highlight a larger problem in measurement that likely cuts across many areas of scholarship. In one such area, youth mental health, researchers commonly encounter a set of conditions that nullify the use of measurement invariance, namely discrepancies between survey reports completed by multiple informants, such as parents, teachers, and youth themselves. In this paper, we provide an overview of conceptual, methodological, and measurement factors that should prevent researchers from applying measurement invariance techniques to detect informant discrepancies. Along the way, we cite evidence from the last 15 years indicating that informant discrepancies reflect domain-relevant information. We also apply this evidence to recent uses of measurement invariance techniques in youth mental health. Based on prior evidence, we highlight the implications of applying these techniques to multi-informant data, when the informant discrepancies observed within these data might reflect domain-relevant information. We close by calling for a moratorium on applying measurement invariance techniques to detect informant discrepancies in youth mental health assessments. In doing so, we describe how the state of the science would need to fundamentally “flip” to justify applying these techniques to detect informant discrepancies in this area of work. (shrink)

: Bioethical discussion of justice in health care has been much enlivened in recent years by new developments in the theory of rationing and by the emergence of a strong communitarian voice. Unfortunately, these developments have not enjoyed much in the way of close engagement with feminist-inspired reflections on power, privilege, and justice. I hope here to promote interchange between "mainstream" treatments of justice in health care and feminist thought.

BackgroundMoral distress (MD) is the psychological damage caused when people are forced to witness or carry out actions which go against their fundamental moral values. The main objective was to evaluate the prevalence and predictive factors associated with MD among health professionals during the pandemic and to determine its causes.MethodsA regional, observational and cross-sectional study in a sample of 566 professionals from the Public Health Service of Andalusia (68.7% female; 66.9% physicians) who completed the MMD-HP-SPA scale to determine (...) the level of MD (0-432 points). Five dimensions were used: i) Health care; ii) Therapeutic obstinacy-futility, iii) Interpersonal relations of the Healthcare Team, iv) External pressure; v) Covering up of medical malpractice.ResultsThe mean level of MD was 127.3 (SD=66.7; 95% CI 121.8-132.8), being higher in female (135 vs. 110.3; p<0.01), in nursing professionals (137.8 vs. 122; p<0.01) and in the community setting (136.2 vs. 118.3; p<0.001), with these variables showing statistical significance in the multiple linear regression model (p<0.001; r2=0.052). With similar results, the multiple logistic regression model showed being female was a higher risk factor (OR=2.27; 95% CI 1.5-3.4; p<0.001). 70% of the sources of MD belonged to the dimension "Health Care" and the cause "Having to attend to more patients than I can safely attend to" obtained the highest average value (Mean=9.8; SD=4.9).ConclusionsFemale, nursing professionals, and those from the community setting presented a higher risk of MD. The healthcare model needs to implement an ethical approach to public health issues to alleviate MD among its professionals. (shrink)

Millions of children who were born during the first decade after the Islamic revolution in Iran are now reaching the age of marriage and childbearing. Short spacing between marriage and the birth of the first child has the potential to cause an excessive and costly increase in the growth of population in Iran. Research into the motivations for the birth of first child among newly married couples can create a knowledge base that will enable health centres to help these (...) couples make better decisions about the timing of their first pregnancy. Using a consecutive sampling technique and administering Miller’s Childbearing Questionnaire, data were gathered regarding the childbearing motivations and desires of 300 couples who had been referred to the Shiraz Health Center for premarital counselling. The Childbearing Questionnaire, with some minor modifications, was found to be a valid and reliable instrument for measuring the childbearing motivations of newly married couples of Shiraz County, Fars Province, Iran. The utility of these findings for counselling in health centres is discussed. Based on the results, a longitudinal study is being designed that will allow the development of models for predicting the time of first pregnancy after marriage. (shrink)

These teaching materials explore the specific powers of governments to implement control measures in response to communicable disease, in two different contexts:The first context concerns global pandemic diseases. Relevant legal authority includes international law, World Health Organization governance and the International Health Regulations, and regulatory authority of nations.The second context is centered on U.S. law and concerns control measures for drug-resistant disease, using tuberculosis as an example. In both contexts, international and domestic, the point is to understand legal (...) authority to address public health emergencies. (shrink)

The dual-continua model of mental health provides a contemporary framework for conceptualising and operationalising mental health. According to this model, mental health is distinct from but related to mental illness, and not the opposite or merely the absence of psychopathology symptoms. To examine the validity of the dual-continua model, previous studies have either applied variable-based analysis such as confirmatory factor analysis, or used predetermined cut-off points for subgroup division. The present study extends this contribution by subjecting data (...) from an African sample to both CFA and latent class analysis to test the dual-continua model in Africa. We applied CFA separately for the Mental Health Continuum—Short Form and Patient Health Questionnaire—9 ; and LCA on combined item responses. College students from Ghana, Kenya, Mozambique, and South Africa completed the MHC-SF and PHQ-9. With minor modifications to the measurement models, the CFA results of this study confirm the three-factor structure of the MHC-SF, and a unidimensional solution for the PHQ-9. LCA results show the presence of three distinct latent classes: languishing with moderate endorsement of depressive symptoms, flourishing with low endorsement of depressive symptoms, and moderate mental health with high endorsement of depressive symptoms. These findings further contribute to affirming the evidence for the dual-continua model of mental health, with implications for the assessment of mental health, to inform policy, practise, and future research in community and clinical settings in Africa. (shrink)

Prevention of age-related disorders is increasingly in focus of health policies, and it is hoped that early intervention on processes of deterioration can promote healthier and longer lives. New opportunities to slow down the aging process are emerging with new fields such as personalized nutrition. Data-intensive research has the potential to improve the precision of existing risk factors, e.g., to replace coarse-grained markers such as blood cholesterol with more detailed multivariate biomarkers. In this paper, we follow an attempt to (...) develop a new aging biomarker. The vision among the project consortium, comprising both research and industrial partners, is that the new biomarker will be predictive of a range of age-related conditions, which may be preventable through personalized nutrition. We combine philosophical analysis and ethnographic fieldwork to explore the possibilities and challenges of managing aging through bodily signs that are not straightforwardly linked to symptomatic disease. We document how the improvement of measurement brings about new conceptual challenges of demarcating healthy and unhealthy states. Moreover, we highlight that the reframing of aging as risk has social and ethical implications, as it is generative of normative notions of what constitutes successful aging and good citizenship. (shrink)

Objective:Fear of Cancer Recurrence (FCR), Health Anxiety (HA), worry, and uncertainty in illness are psychological concerns commonly faced by cancer patients. In survivorship research, these similar, yet different constructs are frequently used interchangeably and multiple instruments are used in to measure them. The lack of clear and consistent conceptualization and measurement can lead to diverse or contradictory interpretations. The purpose of this scoping review was to review, compare, and analyze the current conceptualization and measurements used for FCR, HA, (...) worry, and uncertainty in the breast cancer survivorship literature to improve research and practice.Inclusion Criteria:We considered quantitative, qualitative, and mixed methods studies of breast cancer survivors that examined FCR, HA, worry, or uncertainty in illness as a main topic and included a definition or assessment of the constructs.Methods and Analysis:The six-staged framework was used to guide the scoping review process. Searches of PubMed, CINAHL, and PsycINFO databases were conducted. The principle-based qualitative analysis and simultaneous content analysis procedures were employed to synthesize and map the findings.Findings:After duplicate removal, the search revealed 3,299 articles, of which 82 studies met the inclusion criteria. Several critical attributes overlapped the four constructs, for example, all were triggered by internal somatic and external cues. However, several unique attributes were found (e.g., a sense of loss of security in the body is observed only among survivors experiencing FCR). Overall, findings showed that FCR and uncertainty in illness are more likely to be triggered by cancer-specific factors, while worry and HA have more trait-like in terms of characteristics, theoretical features, and correlates. We found that the measures used to assess each construct were on par with their intended constructs. Eighteen approaches were used to measure FCR, 15 for HA, 8 for worry, and 4 for uncertainty.Conclusion:While consensus on the conceptualization and measurement of the four constructs has not yet been reached, this scoping review identifies key similarities and differences to aid in their selection and measurement. Considering the observed overlap between the four studied constructs, further research delineating the unique attributes for each construct is warranted. (shrink)

: The move from a notion that community values ought to play a role in health care decision making to the creation of health care policies that in some way reflect such values is a challenging one. No single method will adequately measure community values in a way appropriate for setting health care priorities. Consequently, multiple methods to measure community values should be employed, thereby allowing the strengths and weaknesses of the various methods to complement each other. (...) A preliminary research agenda to bring together empirical research on community values with more traditional research on health care ethics is outlined, with the goal of identifying and measuring acceptable community values that are relatively consistent across measurement methods and, ultimately, developing ways to incorporate these values into health care priority decision making. (shrink)

In Valuing Health, Dan Hausman argues that well-being is not measurable, at least not in the way that science and policy would require. His argument depends on a demanding conception of well-being and on a pessimistic verdict upon the existing measures of subjective well-being. Neither of these reasons, I argue, warrant as much skepticism as Hausman professes.

The devastating COVID-19 pandemic and its accompanying containment measures brought exceptional challenges to the health delivery system, and in particular, women’s sexual and reproductive healthcare (hereafter referred to as SRH). The re-routing of health resources and funding to mitigate the effects of the pandemic obstructed the provision of essential SRH services for women and girls. Coupled with the incessant socio-cultural and patriarchal norms and gender inequalities, the COVID-19 pandemic aggravated the pre-existing SRH disproportions already affecting women. By adopting (...) a qualitative approach and drawing on the experiences of women from three high density suburbs in Harare. Firstly, the study sought to explore the implications of the COVID-19 pandemic on SRH for women and girls. Secondly, the research sought to determine key drivers that affect women’s SRH in the context of COVID-19. Participant responses indicated that the COVID-19 lockdown containment measures which confined spouses to the home setting for prolonged periods of time, which is in contrast to the norm, exposed women to SRH related challenges. Participants cited that (i) bruised male ego due to lack of employment as a result of downscaling of companies resulting from COVID-19 containment measures resulted in men asserting their masculinities through heightened sexual intercourse, (ii) restraint of movement resulted in limited time for men to visit their small houses and side-chicks or side dish (euphemisms for illicit sexual relations) therefore resulting in frequent and unprotected sex with their spouses, giving rise to unplanned pregnancies and increased exposure to STIs due to limited access to SRH services and, (iii) increased intimate partner violence (IPV) and sexual abuse. Therefore, the research sought to explore the response of religious leaders and faith-based actors to providing psycho-social support and safe spaces as ways of addressing intersectional injustices giving rise to SRH challenges for women and girls.Contribution: The intersecting crises of the COVID-19 pandemic have extensively hindered progress towards the promotion of women’s SRH. Relating to sustainable development goal 3 (SDG3), the article acknowledges the trust and respect of religious leaders within communities as change agents who can encourage shifts in behaviour, beliefs and practices in ways that promote holistic SRH for women. (shrink)

This study investigates the relationship between mental health and emotional intelligence among senior high school students in a public school. Thus, the study employed a correlational design to measure the relationship between mental health and emotional intelligence among 152 Grade 12 senior high school students in a public school. Hence, to measure the study’s variables - Mental Health Inventory and Emotional Intelligence Scale (EIS) were utilized. Based on the inferential statistics, the r coefficient of 0.32 indicates a (...) low positive correlation between the variables and a p-value of 0.00, indicating a significant relationship between the respondents' mental health and emotional intelligence. Implications and recommendations were discussed in the study. (shrink)

In recent decades, social and behavioral scientists have begun to explore how and why human beings thrive or flourish and to consider whether traits indicative of thriving or flourishing may themselves influence physical well-being. This stands in contrast to the historical tendency in these fields to focus on pathology: mental illness, psychological dysfunction, deviant behavior, social problems, and so on. In epidemiology, too, the influence of pathology is seen in a tacit emphasis on risk factors for disease outcomes and for (...) rates of morbidity and mortality, as opposed to, say, protective factors promotive of good health. Methodologically, there is nothing substantial that would prohibit looking at the world... (shrink)