Inequalities in health: definitions, concepts, and theories

Navigating healthcare systems: A qualitative study on socially marginalised patients' experiences of hospital transition and support by social nurses

BACKGROUND

Socially marginalised patients face many challenges related to their health condition and often have several contacts with healthcare and social service workers. The Danish social nursing initiative, whose nurses have experience and knowledge about marginalisation, aims to support socially marginalised patients during hospital admission and through hospital transitions. However, there is limited knowledge about the hospital transitions of patients being supported by a social nurse.

OBJECTIVES

The objectives of this study were to explore (1) the perspectives of socially marginalised patients on the transition from hospital to home and (2) how these patients experience the importance of social nursing on patient trajectories after hospital discharge.

METHODS

A qualitative study with a phenomenological and hermeneutic approach was performed at a large hospital in southern Denmark. Adult patients who had contact with a social nurse during hospital admission were purposely sampled. Data were collected between January 2023 and March 2023. Initial patient interviews were conducted during hospital admission with a second interview 7-22 days after discharge. Systematic text condensation was used for the analysis, and Nvivo 12 supported data storage and coding.

ETHICAL APPROVAL

The study is registered with the Danish Data Protection Agency (22/47509). Informed consent was given by the participants.

RESULTS

Sixteen patients participated in the study. The participants experienced major challenges in their transitions from the hospital, which were generally related to their interactions with many different social and healthcare services. While the social nurses supported the patients and helped facilitate care during hospital admission and after discharge, the participants identified transitional care gaps related to multidisciplinary cooperation and standardised care options.

CONCLUSIONS

This study identifies challenges related to the hospital transition of socially marginalised patients, which indicates a gap in healthcare services. Future research should focus on improving interprofessional collaboration with socially marginalised patients across healthcare services.

Urban-rural and socio-economic differences in inhaled corticosteroid treatment for chronic obstructive pulmonary disease: A nationwide register-based cross-sectional study

BACKGROUND

Urban-rural disparities within chronic obstructive pulmonary disease (COPD) have been documented in USA, but not in Europe. Inhaled corticosteroids (ICS) are widely used in COPD despite strict recommendations. We aimed to investigate urban-rural and socioeconomic differences in ICS treatment for COPD.

METHODS

A Danish nationwide register-based cross-sectional study. All patients alive on the December 31, 2018 with a J44 ICD-10 diagnosis code (COPD) were included (99,057 patients). Daily average ICS dose was calculated from the accumulated ICS use during 2018 based on redeemed prescriptions. Patients were divided into groups: No ICS, low dose ICS, medium dose ICS, high dose ICS. A multinomial logistic regression model including educational level, co-habitation status, age, and sex was performed with "No ICS" as reference group.

RESULTS

Compared to capital municipalities, living in other municipality types was associated with an increased probability of receiving medium and high dose ICS treatment, and increasing odds ratios (ORs) were seen with increasing ICS dose (medium dose ICS: ORs between 1.31 (95 % confidence interval (CI) 1.24-1.38) and 1.35 (95%CI 1.28-1.41), high dose ICS: ORs between 1.73 (95%CI 1.59-1.88) and 1.80 (95%CI 1.68-1.92)). Patients had increased probability of receiving ICS treatment if they were female, were co-habiting, or had completed only primary education.

CONCLUSION

Patients with a hospital-registered COPD diagnosis in non-capital municipalities receive more ICS, and in higher doses, compared to patients in capital municipalities. This is the first study to confirm that such urban-rural differences exist in Europe, and further research on this area is warranted.

Demographic and economic inequality of antenatal care coverage in 4 African countries with a high maternal mortality rate

BACKGROUND

Maternal deaths are concentrated in low and middle-income countries, and Africa accounts for over 50% of the deaths. Women from socioeconomically disadvantaged households have higher morbidity and mortality rates and lower access to maternal health services. Understanding and addressing these inequalities is crucial for achieving the Sustainable Development Goals and improving maternal health outcomes. This study examines the demographic and economic disparities in the utilization of antenatal care (ANC) in four countries with high maternal mortality rates in Africa, namely Nigeria, Chad, Liberia, and Sierra Leone.

METHOD

The study utilised data from Demographic and Health Surveys (DHS) and Multiple Indicator Cluster Surveys (MICS) from Nigeria, Chad, Liberia, and Sierra Leone. The data was obtained from the Health Equity Assessment Toolkit (HEAT) database. The study examined ANC service utilisation inequality in four dimensions such as economic status, education, place of residence, and subnational region across different subgroups by using four summary measures (Difference (D), Absolute Concentration Index (ACI), Population Attributable Risk (PAR), and Population Attributable Factor (PAF)).

RESULT

A varying level of inequality in ANC coverage across multiple survey years was observed in Nigeria, Chad, Liberia, and Sierra Leone. Different regions and countries exhibit varying levels of inequality. Disparities were prominent based on educational attainment and place of residence. Higher level of inequality was generally observed among individuals with higher education and those residing in urban areas. Inequality in ANC coverage was also observed by economic status, subnational region, and other factors in Nigeria, Chad, Liberia, and Sierra Leone. ANC coverage is generally higher among the richest quintile subgroup, indicating inequality. Nigeria and Chad show the highest levels of inequality in ANC coverage across multiple measures. Sierra Leone displays some variation with higher coverage among the poorest quintile subgroup.

CONCLUSION AND RECOMMENDATION

Inequalities in ANC coverage exist across age groups and survey years in Nigeria, Chad, Liberia, and Sierra Leone. Disparities are prominent based on education, residence, and economic status. Efforts should focus on improving access for vulnerable groups, enhancing education and awareness, strengthening healthcare infrastructure, and addressing economic disparities.

Theories, determinants, and intervention models and approaches on inequalities of undernutrition amongst under fives: A literature review

Background and Aims

One of the greatest public health problems of the 21st century is undernutrition in children under the age of 5 years (CAUFY). Globally, over 232 million CUAFY are undernourished and approximately 45% of mortality in this population are undernutrition-induced. This paper reviewed and critically explained the factors perpetuating undernutrition in CUAFY in the global space. It further explained the multi-level determinants that influence health inequalities and consequently exacerbate undernutrition amongst CUAFY globally. It also went further to explain the intervention models and approaches that can be used to tackle undernutrition in CUAFY.

Methods/Literature Search Strategy

Demiris et al.'s approach to narrative review was utilized for this paper. Relevant articles on child nutrition were retrieved from multiple credible databases and websites of foremost health organizations. Using an iterative process, multiple combinations of search terms were done by stringing relevant key terms and their synonyms with Boolean Operators. This process was constantly refined to align search results with the study aim. Database search produced relevant and resourceful publications which were utilized to develop this review.

Results

The global burden of undernutrition remains high, especially in Oceania with the highest prevalence of stunting and wasting (41.4% and 12.5%), with Africa and Asia following closely. Malnutrition eradication is a global health issue of high priority as demonstrated by the "Goal 2" of the Sustainable Development Goals (SDGs), and the United Nations (UN) Decade of Action on Nutrition 2016-2025. The review identified no significant positive outcome from previous interventions due to the endemic health inequalities. Determinants of the multi-level health inequalities associated with undernutrition in CUAFY, and probable solutions are explained with theoretical models of health inequalities. A diagonal intervention approach was proposed as a viable solution to ending undernutrition in CUAFY.

Conclusion

The application of relevant theoretical models and context-specific intervention approaches can be utilized by stakeholders to close the existing inequality gaps, thereby reducing undernutrition amongst CUAFY globally.

Understanding and Mitigating Bias in Imaging Artificial Intelligence

Artificial intelligence (AI) algorithms are prone to bias at multiple stages of model development, with potential for exacerbating health disparities. However, bias in imaging AI is a complex topic that encompasses multiple coexisting definitions. Bias may refer to unequal preference to a person or group owing to preexisting attitudes or beliefs, either intentional or unintentional. However, cognitive bias refers to systematic deviation from objective judgment due to reliance on heuristics, and statistical bias refers to differences between true and expected values, commonly manifesting as systematic error in model prediction (ie, a model with output unrepresentative of real-world conditions). Clinical decisions informed by biased models may lead to patient harm due to action on inaccurate AI results or exacerbate health inequities due to differing performance among patient populations. However, while inequitable bias can harm patients in this context, a mindful approach leveraging equitable bias can address underrepresentation of minority groups or rare diseases. Radiologists should also be aware of bias after AI deployment such as automation bias, or a tendency to agree with automated decisions despite contrary evidence. Understanding common sources of imaging AI bias and the consequences of using biased models can guide preventive measures to mitigate its impact. Accordingly, the authors focus on sources of bias at stages along the imaging machine learning life cycle, attempting to simplify potentially intimidating technical terminology for general radiologists using AI tools in practice or collaborating with data scientists and engineers for AI tool development. The authors review definitions of bias in AI, describe common sources of bias, and present recommendations to guide quality control measures to mitigate the impact of bias in imaging AI. Understanding the terms featured in this article will enable a proactive approach to identifying and mitigating bias in imaging AI. Published under a CC BY 4.0 license. Test Your Knowledge questions for this article are available in the supplemental material. See the invited commentary by Rouzrokh and Erickson in this issue.

Editorial: Equity, diversity and inclusion in child and adolescent mental health - equality of opportunities should be every child's right and every society's obligation

Socio-ecological factors are major determinants of poor mental health across the life span. These factors can lead to health inequalities, which refer to differences in the health of individuals or groups (Kirkbride et al., 2024). Health inequity "is a specific type of health inequality that denotes an unjust, avoidable, systematic and unnecessary difference in health" (Arcaya, Arcaya, & Subramanian, 2015). Among several intersecting social adversities, inequity is one of the most pervasive contributors to poor mental health across all regions (Venkatapuram & Marmot, 2023). Structural inequity creates institutional power structures that marginalise large sections of the population and concentrate resources in the hands of a small minority (Shim, Kho, & Murray-García, 2018). The world is now more prosperous than it has ever been, yet the world is witnessing more within country inequality with the vast majority of the world's resources in the hands of a small minority of individuals or regions (United Nations, 2020).

Incidence of Perinatal Post-Traumatic Stress Disorder in Catalonia: An Observational Study of Protective and Risk Factors

Pregnancy and childbirth have a great impact on women's lives; traumatic perinatal experiences can adversely affect mental health. The present study analyzes the incidence of perinatal post-traumatic stress disorder (PTSD) in Catalonia in 2021 from data obtained from the Registry of Morbidity and Use of Health Resources of Catalonia (MUSSCAT). The incidence of perinatal PTSD (1.87%) was lower than in comparable studies, suggesting underdiagnosis. Poisson regression adjusting for age, income, gestational weeks at delivery, type of delivery, and parity highlighted the influence of sociodemographics, and characteristics of the pregnancy and delivery on the risk of developing perinatal PTSD. These findings underline the need for further research on the risk factors identified and for the early detection and effective management of PTSD in the perinatal setting.

Inequalities in Healthcare Access, Experience and Outcomes in Adults With Inflammatory Bowel Disease: A Scoping Review

BACKGROUND

Inflammatory bowel diseases (IBDs) are incurable diseases that require lifelong access to health services. Accumulating evidence of inequalities in health care access, experience, and outcomes for individuals with IBD is apparent. This review aimed to describe the inequalities in healthcare access, experiences, and outcomes of care for adults with IBD, to identify research gaps, and to identify future research priorities in this area.

METHODS

A scoping review was conducted to retrieve quantitative, qualitative, and mixed methods evidence from 3 databases (EMBASE, Medline, and CINAHL) published between January 1, 2000, and September 27, 2023.

RESULTS

Fifty-one studies met the criteria for inclusion. The majority (42 of 51) focused on IBD health outcomes, followed by healthcare access (24 of 51). Significantly fewer investigated patient experiences of IBD healthcare (8 of 51). Most available studies reported on race/ethnic disparities of healthcare (33 of 51), followed by inequalities driven by socioeconomic differences (12 of 51), rurality (7 of 51), gender and sex (3 of 51), age (2 of 51), culture (2 of 51), literacy (1 of 51), and sexuality (1 of 51). Inflammatory bowel disease patients from Black, Asian, and Hispanic ethnic groups had significantly poorer health outcomes. A lack of research was found in the sexual and gender minority community (1 of 51). No research was found to investigate inequalities in IBD patients with learning disabilities or autism.

CONCLUSIONS

Further research, particularly utilizing qualitative methods, is needed to understand health experiences of underserved patient populations with IBD. Cultural humility in IBD care is required to better serve individuals with IBD of Black and Asian race/ethnicity. The lack of research amongst sexual and gender minority groups with IBD, and with learning disabilities, poses a risk of creating inequalities within inequalities.

How socio-political change is associated with the number of individually reported negative life events: a population-based study using the German reunification 1989/1990 as an example

BACKGROUND

Socio-political change often leads to disruptions in employment and social networks, which can exacerbate health issues and increase mortality rates. These consequences are likely observed as an increase in negative life events (NLEs), serving as indicators of the broader social and health impacts. Using the German reunification in 1989/1990 as an example, this study investigates changes in reported numbers of NLEs and differences regarding sociodemographic characteristics.

METHODS

We used data from the population-based Study of Health in Pomerania (SHIP-START-0, SHIP-Life-Events and Gene-Environment Interaction in Depression; N=1932). Numbers of NLEs in different categories (work/financial, social/interpersonal, illness (own) and illness/death (others)) were measured retrospectively in 5-year intervals (1980-2004) using a semistructured interview. Pre-reunification and post-reunification changes were modelled using piecewise mixed-effects Poisson regressions with the 1990-1994 interval (reunification) as change point. Interactions with age, sex and education were examined.

RESULTS

The number of most NLE categories, except social/interpersonal NLEs, increased at reunification. Whereas work/financial NLEs slightly decreased post-reunification, illness-related NLEs continued to increase. Higher numbers of social/interpersonal NLEs were found with younger age. More illness-related NLEs were reported with older age, lower education (illness (own)) and by women (illness/death (others)). However, the majority reported no NLEs at reunification (68.2%-80.7%, varying by category).

CONCLUSION

Our findings suggest that although some individuals experience a marked increase in NLEs due to socio-political changes, many remain unaffected, emphasising the need for a differentiated understanding of these effects. This increase in NLEs may partly account for ongoing health and well-being disparities among countries with differing transformation histories.

Decomposing the inequalities in the catastrophic health expenditures on the hospitalization in India: empirical evidence from national sample survey data

Introduction

Sustainable Development Goal (SDG) Target 3.8.2 entails financial protection against catastrophic health expenditure (CHE) by reducing out-of-pocket expenditure (OOPE) on healthcare. India is characterized by one of the highest OOPE on healthcare, in conjunction with the pervasive socio-economic disparities entrenched in the population. As a corollary, India has embarked on the trajectory of ensuring financial risk protection, particularly for the poor, with the launch of various flagship initiatives. Overall, the evidence on wealth-related inequities in the incidence of CHE in low- and middle-Income countries has been heterogenous. Thus, this study was conducted to estimate the income-related inequalities in the incidence of CHE on hospitalization and glean the individual contributions of wider socio-economic determinants in influencing these inequalities in India.

Methods

The study employed cross-sectional data from the nationally represented survey on morbidity and healthcare (75th round of National Sample Survey Organization) conducted during 2017-2018, which circumscribed a sample size of 1,13,823 households and 5,57,887 individuals. The inequalities and need-adjusted inequities in the incidence of CHE on hospitalization care were assessed via the Erreygers corrected concentration index. Need-standardized concentration indices were further used to unravel the inter- and intra-regional income-related inequities in the outcome of interest. The factors associated with the incidence of CHE were explored using multivariate logistic regression within the framework of Andersen's model of behavioral health. Additionally, regression-based decomposition was performed to delineate the individual contributions of legitimate and illegitimate factors in the measured inequalities of CHE.

Results

Our findings revealed pervasive wealth-related inequalities in the CHE for hospitalization care in India, with a profound gap between the poorest and richest income quintiles. The negative value of the concentration index (EI: -0.19) indicated that the inequalities were significantly concentrated among the poor. Furthermore, the need-adjusted inequalities also demonstrated the pro-poor concentration (EI: -0.26), denoting the unfair systemic inequalities in the CHE, which are disadvantageous to the poor. Multivariate logistic results indicated that households with older adult, smaller size, vulnerable caste affiliation, poorest income quintile, no insurance cover, hospitalization in a private facility, longer stay duration in the hospital, and residence in the region at a lower level of epidemiological transition level were associated with increased likelihood of incurring CHE on hospitalization. The decomposition analysis unraveled that the contribution of non-need/illegitimate factors (127.1%) in driving the inequality was positive and relatively high vis-à-vis negative low contribution of need/legitimate factors (35.3%). However, most of the unfair inequalities were accounted for by socio-structural factors such as the size of the household and enabling factors such as income group and utilization pattern.

Conclusion

The study underscored the skewed distribution of CHE as the poor were found to incur more CHE on hospitalization care despite the targeted programs by the government. Concomitantly, most of the inequality was driven by illegitimate factors amenable to policy change. Thus, policy interventions such as increasing the awareness, enrollment, and utilization of Publicly Financed Health Insurance schemes, strengthening the public hospitals to provide improved quality of specialized care and referral mechanisms, and increasing the overall budgetary share of healthcare to improve the institutional capacities are suggested.

Ibero-Panamerican Federation of Periodontology Delphi study on the trends of periodontology and periodontics by the year 2030. A Latin American consensus

BACKGROUND AND OBJECTIVE

As elsewhere in the world, the prevalence of periodontitis in stages I-II is high in the Latin American population, this scenario emphasizes the need for identification of urgent needs for allocating adequate resources to provide diagnosis, prevention, and treatment of these diseases. The aim of this Delphi study was to predict the trends in periodontology/periodontics in the Latin American region by the year 2030.

METHODS

A steering committee and an advisory group of experts in periodontology/periodontics were selected from 16 countries. An open questionnaire of 60 questions was validated and used following the Delphi methodology.

RESULTS

Two hundred and twenty-five experts from Latin America answered the two rounds of the questionnaire. Moderate to strong consensus was reached on 45 questions (75%). The prediction was that the prevalence of gingivitis and periodontitis in stages I and II will be maintained, the importance of the link with systemic diseases will increase, and the impact of prevention and periodontal treatment will also increase, mainly in the private sector. There was a strong consensus that plastic and regenerative surgical procedures will increase, as well as the demand for training in the specialty of periodontology.

CONCLUSIONS

The present study has provided relevant and useful information on predictions in periodontology/periodontics in Latin America, with important level of consensus among experts. It has been predicted that periodontitis will still be a highly prevalent disease, and its links with other medical conditions should demand more attention by health authorities to develop adequate prevention and management policies and strategies.

[Inequalities in time to diagnosis of Down Syndrome in Bolivia]

Down Syndrome is the most common genetic condition and a leading cause of intellectual disability. Individuals in rural areas, particularly those with disabilities, often face disparities in healthcare access. Analyzing clinical records of patients diagnosed with Down Syndrome between 2013 and 2022 by the Institute of Genetics at the Universidad Mayor de San Andrés in La Paz, Bolivia, this study examined the time to diagnosis for 250 patients with Down Syndrome. The findings revealed that patients from rural areas with Down Syndrome take an average of five months to receive a diagnosis, compared to two months in urban areas (p<0.001). No significant differences were found in the time to diagnosis based on gender. However, a higher proportion of males from rural areas was observed (p=0.03). The results suggest that individuals in rural areas face challenges in receiving a timely diagnosis. On the other hand, women may not be brought to cities for proper diagnosis and treatment due to gender biases in certain communities. The importance of improving access to early diagnosis and treatment in rural areas is emphasized.

Systematic review of social determinants of childhood immunisation in low- and middle-income countries and equity impact analysis of childhood vaccination coverage in Nigeria

BACKGROUND

Nigeria has a high proportion of the world's underimmunised children. We estimated the inequities in childhood immunisation coverage associated with socioeconomic, geographic, maternal, child, and healthcare characteristics among children aged 12-23 months in Nigeria using a social determinants of health perspective.

METHODS

We conducted a systematic review to identify the social determinants of childhood immunisation associated with inequities in vaccination coverage among low- and middle-income countries. Using the 2018 Nigeria Demographic and Health Survey (DHS), we conducted multiple logistic regression to estimate the association between basic childhood vaccination coverage (1-dose BCG, 3-dose DTP-HepB-Hib (diphtheria, tetanus, pertussis, hepatitis B and Haemophilus influenzae type B), 3-dose polio, and 1-dose measles) and socioeconomic, geographic, maternal, child, and healthcare characteristics in Nigeria.

RESULTS

From the systematic review, we identified the key determinants of immunisation to be household wealth, religion, and ethnicity for socioeconomic characteristics; region and place of residence for geographic characteristics; maternal age at birth, maternal education, and household head status for maternal characteristics; sex of child and birth order for child characteristics; and antenatal care and birth setting for healthcare characteristics. Based of the 2018 Nigeria DHS analysis of 6,059 children aged 12-23 months, we estimated that basic vaccination coverage was 31% (95% CI: 29-33) among children aged 12-23 months, whilst 19% (95% CI:18-21) of them were zero-dose children who had received none of the basic vaccines. After controlling for background characteristics, there was a significant increase in the odds of basic vaccination by household wealth (AOR: 3.21 (2.06, 5.00), p < 0.001) for the wealthiest quintile compared to the poorest quintile, antenatal care of four or more antenatal care visits compared to no antenatal care (AOR: 2.87 (2.21, 3.72), p < 0.001), delivery in a health facility compared to home births (AOR 1.32 (1.08, 1.61), p = 0.006), relatively older maternal age of 35-49 years compared to 15-19 years (AOR: 2.25 (1.46, 3.49), p < 0.001), and maternal education of secondary or higher education compared to no formal education (AOR: 1.79 (1.39, 2.31), p < 0.001). Children of Fulani ethnicity in comparison to children of Igbo ethnicity had lower odds of receiving basic vaccinations (AOR: 0.51 (0.26, 0.97), p = 0.039).

CONCLUSIONS

Basic vaccination coverage is below target levels for all groups. Children from the poorest households, of Fulani ethnicity, who were born in home settings, and with young mothers with no formal education nor antenatal care, were associated with lower odds of basic vaccination in Nigeria. We recommend a proportionate universalism approach for addressing the immunisation barriers in the National Programme on Immunization of Nigeria.

Human biology and the study of precarity: How the intersection of uncertainty and inequality is taking us to new extremes

Inequality represents an extreme environment to which humans must respond. One phenomenon that contributes to this growing extreme is precarity or the intersection of uncertainty and some form of inequality. While precarity has an important intellectual history in the fields of sociology and sociocultural anthropology, it has not been well studied in the field of human biology. Rather human biologists have engaged with the study of closely related concepts such as uncertainty and resource insecurity. In this article, we propose that human biology take on the study of precarity as a novel way of investigating inequality. We first provide a brief intellectual history of precarity which is followed by a review of research on uncertainty and resource security in human biology which, while not exhaustive, illustrates some key gaps that precarity may aid us in addressing. We then review some of the pathways through which precarity comes to affect human biology and health and some of the evidence for why the unpredictable nature of precarity may make it a unique physiological stress. A case study based on research in Nuñoa, Peru provides an important example of how precarity can elucidate the influences of health in an extreme setting, albeit with insights that apply more broadly. We conclude that precarity holds important potential for the study of human biology, including helping us more effectively operationalize and study uncertainty, encouraging us to explore the predictability of resources and stressors, and reminding us to think about the intersectional nature of stressors.

Important issues in proposing autonomy training in home parenteral nutrition for short bowel syndrome patients: a qualitative insight from the patients' perspectives

OBJECTIVES

The standard treatment for short bowel syndrome is home parenteral nutrition. Patients' strict adherence to protocols is essential to decrease the risk of complications such as infection or catheter thrombosis. Patient training can even result in complete autonomy in daily care. However, some patients cannot or do not want too much responsibility. However, doctors often encourage them to acquire these skills. Based on qualitative investigations with patients, we wanted to document issues of importance concerning perceptions of autonomy in daily care.

METHODS

Semistructured interviews were conducted with 13 adult patients treated by home parenteral nutrition using a maximum variation sampling strategy. We proceeded to a thematic analysis following an inductive approach.

RESULTS

After achieving clinical management of symptoms, a good quality of life is within the realm of possibility for short bowel syndrome patients with home parenteral nutrition. In this context, achieving autonomy in home parenteral nutrition could be a lever to sustain patients' quality of life by providing better life control. However, counterintuitively, not all patients aim at reducing constraints by reaching autonomy in home parenteral nutrition. First, they appreciate the social contact with the nurses, which is particularly true among patients who live alone. Second, they can feel safer with the nurse's visits. Regaining freedom was the main motivation for patients in the training program and the main benefit for those who were already autonomous.

CONCLUSIONS

Medical teams should consider patients' health locus of control (internal or external) for disease management to support them concerning the choice of autonomy in daily care for parenteral nutrition.

Kalankesh L, Zeinalzadeh AH, Ghaffari A, Dastgiri S. Development, Validation, and Cross Cultural Adoption of Persian Version of Behavioral Risk Factor Tool

Background

One of the most crucial objectives of policymakers is to enhance the population's overall health. Establishing a surveillance system is a way to achieve this goal. The Behavioral Risk Factor Surveillance System (BRFSS) is a national system that collects data on the health-related behaviors of the United States residents using the Behavioral Risk Factor Questionnaire (BRFSSQ). This survey is aimed at reducing risk behaviors and their consequences. Regarding the fact that the cultural environment within each country may affect how behaviors are assessed, this study aimed to develop a Persian version, cross-cultural adaptation, and assess the validity and reliability of the PBRFSSQ.

Methods

In this cross-sectional study, 250 individuals were enrolled using the stratified sampling method between August 2022 and April 2023. Six steps of translation and test method proposed by Sousa et al was used. Content and face validity were calculated. Also, the Cronbach's alpha and test-retest were computed.

Results

Of all participants, 54.5% were male and aged 30 to 65 years old (69%). The Scale Content Validity Index was equal to 0.95. The Intra class Correlation Coefficient (ICC) was computed as 0.86, 0.88, and 0.87 for the core, optional, and total components, respectively. Furthermore, the Cronbach's alpha coefficient of 0.85 was obtained overall.

Conclusion

This tool was highly valid and reliable for assessing risky behaviors among the Iranian general population.

Ethnicity data resource in population-wide health records: completeness, coverage and granularity of diversity

Intersectional social determinants including ethnicity are vital in health research. We curated a population-wide data resource of self-identified ethnicity data from over 60 million individuals in England primary care, linking it to hospital records. We assessed ethnicity data in terms of completeness, consistency, and granularity and found one in ten individuals do not have ethnicity information recorded in primary care. By linking to hospital records, ethnicity data were completed for 94% of individuals. By reconciling SNOMED-CT concepts and census-level categories into a consistent hierarchy, we organised more than 250 ethnicity sub-groups including and beyond "White", "Black", "Asian", "Mixed" and "Other, and found them to be distributed in proportions similar to the general population. This large observational dataset presents an algorithmic hierarchy to represent self-identified ethnicity data collected across heterogeneous healthcare settings. Accurate and easily accessible ethnicity data can lead to a better understanding of population diversity, which is important to address disparities and influence policy recommendations that can translate into better, fairer health for all.

Revealing spatiotemporal inequalities, hotspots, and determinants in healthcare resource distribution: insights from hospital beds panel data in 2308 Chinese counties

BACKGROUND

Ensuring universal health coverage and equitable access to health services requires a comprehensive understanding of spatiotemporal heterogeneity in healthcare resources, especially in small areas. The absence of a structured spatiotemporal evaluation framework in existing studies inspired us to propose a conceptual framework encompassing three perspectives: spatiotemporal inequalities, hotspots, and determinants.

METHODS

To demonstrate our three-perspective conceptual framework, we employed three state-of-the-art methods and analyzed 10 years' worth of Chinese county-level hospital bed data. First, we depicted spatial inequalities of hospital beds within provinces and their temporal inequalities through the spatial Gini coefficient. Next, we identified different types of spatiotemporal hotspots and coldspots at the county level using the emerging hot spot analysis (Getis-Ord Gi* statistics). Finally, we explored the spatiotemporally heterogeneous impacts of socioeconomic and environmental factors on hospital beds using the Bayesian spatiotemporally varying coefficients (STVC) model and quantified factors' spatiotemporal explainable percentages with the spatiotemporal variance partitioning index (STVPI).

RESULTS

Spatial inequalities map revealed significant disparities in hospital beds, with gradual improvements observed in 21 provinces over time. Seven types of hot and cold spots among 24.78% counties highlighted the persistent presence of the regional Matthew effect in both high- and low-level hospital bed counties. Socioeconomic factors contributed 36.85% (95% credible intervals [CIs]: 31.84-42.50%) of county-level hospital beds, while environmental factors accounted for 59.12% (53.80-63.83%). Factors' space-scale variation explained 75.71% (68.94-81.55%), whereas time-scale variation contributed 20.25% (14.14-27.36%). Additionally, six factors (GDP, first industrial output, local general budget revenue, road, river, and slope) were identified as the spatiotemporal determinants, collectively explaining over 84% of the variations.

CONCLUSIONS

Three-perspective framework enables global policymakers and stakeholders to identify health services disparities at the micro-level, pinpoint regions needing targeted interventions, and create differentiated strategies aligned with their unique spatiotemporal determinants, significantly aiding in achieving sustainable healthcare development.

Factors Associated With Higher Utilization of Outpatient Physical Therapy for Patients Who Have Undergone Primary Total Joint Arthroplasty: A Retrospective Cohort Study

Background

Research has identified predictive factors for inpatient complications and short-term recovery following total knee arthroplasty (TKA) and total hip arthroplasty (THA). Predictors that may influence length of care in outpatient physical therapy (PT) have yet to be examined. Doing so may improve the quality and efficiency of PT care following TKA and THA.

Purpose

The aim of this study was to determine factors associated with a higher utilization of outpatient PT visits for patients who have had primary THA or TKA.

Methods

A retrospective cohort study was performed using a population of 5147 patients who underwent THA and TKA between January 2017 and October 2022. Demographic and clinical factors were analyzed to determine which factors influenced PT utilization.

Results

Our multivariable linear regression model revealed that female sex, need for inpatient PT visits, and TKA as opposed to THA were significantly associated with an increase in outpatient PT visits. Older age, number of telerehabilitation visits, and history of depression were associated with fewer outpatient PT visits while accounting for all other variables.

Conclusions

The results of this retrospective analysis may help to identify some potential factors including TKA vs THA, patient age, and a history of depression that can be evaluated prospectively in future studies to determine whether they predict subsequent outpatient PT utilization.

Using the life course health development model to address pediatric mental health disparities

TOPIC

Early-life experiences, the transmission of health and disease within families, and the influence of cumulative risks as well as protective factors throughout life shape the trajectory of health, including mental health. Long-term health trajectories established early in life are influenced by biologic, social, and environmental factors. Negative trajectories may be more salient if exposures to adversity occur during critical developmental periods.

PURPOSE

The purpose of this brief is to (a) review pediatric health disparities related to depression and the intergenerational transmission of pediatric depression using a Life Course Health Development (LCHD) model and (b) provide recommendations for pediatric mental health research.

SOURCES

Peer-reviewed papers available for PubMed, CINAL, and Medline. Other sources include published books, papers, and gray materials.

CONCLUSIONS

The LCHD model is a perspective to guide and foster new scientific inquiry about the development of mental health outcomes over the life course. The model enables synthesis of mental health, nursing, and public health, linking mental health prevention, risk reduction, and treatment in children.

COVID-19 Vaccination Coverage and Associated Factors in Patients with Multiple Sclerosis

Our objective was to know the COVID-19 vaccination coverage in multiple sclerosis (MS) patients and its factors associated. A retrospective cohort study was carried out. Patients seen at the MS unit of the University Clinical Hospital of Zaragoza between 2017 and 2021 were included. Variables were obtained by reviewing the specialized and primary care records. Associations between receiving COVID-19 full primo-vaccination, as well as one booster dose since autumn 2022, and the other variables were analyzed using bivariate analysis and multiple logistic regression models. Of the 359 included patients, 90.3% received the COVID-19 full primo-vaccination. Having been born in Spain (aOR = 3.40) and having received the 2020-2021 influenza vaccine (aOR = 6.77) were associated with receiving the COVID-19 full primo-vaccination. Vaccination with a COVID-19 booster dose was detected in 141 patients (39.3%). Sex (man) (aOR = 2.36), age (60 years or over) (aOR = 6.82), type of MS (Primary Progressive/Secondary Progressive) (aOR = 3.94), and having received the 2022-2023 influenza vaccine (aOR = 27.54) were associated with receiving such a booster dose. The COVID-19 booster dose was administered at the same time as the 2022-2023 influenza vaccine in 57.8% (67/116) of the patients vaccinated with both vaccines. The COVID-19 full primo-vaccination coverage is higher than in other countries. However, the decrease in vaccination coverage with the booster dose makes it necessary to develop strategies to improve it that are not limited to administering the flu vaccine together with the COVID-19 booster dose. Such strategies should be in focus, especially for women under 60 years of age.

Impact of long-term care insurance on health inequality in older adults in China based on the concentration index approach

BACKGROUND

Several studies have shown that social security would reduce health inequalities. However, little was known about the relationship between long-term care insurance and health inequality. We aimed to evaluate the impact of long-term care insurance on health status and health inequality in older adults using a nationally representative cohort.

METHODS

Based on four waves of data from the China Health and Retirement Longitudinal Study (CHARLS 2011, 2013, 2015 and 2018), we used the staggered difference in difference (DID) design with the order probit regression models and the concentration index approach as well as decomposition analysis to assess the contribution of long-term care insurance towards residents' health status and health inequality in older adults aged ≥65 y. We further used the semi-parametric DID model for robustness testing.

RESULTS

Long-term care insurance demonstrated its role, improving self-assessed health in the study population (βcoefficient: 0.090, 95% CI 0.087 to 0.092, p<0.001). The estimation results of the semi-parametric DID were consistent with those of the staggered DID. The income-related health concentration index was 0.0005, having a contribution rate of 1.639% to health inequality in older adults. Decomposition analysis revealed that different policies and residential areas were more influential on the observed health inequalities.

CONCLUSIONS

The findings implied that long-term care insurance has widened the health inequality while improving health status in older adults. Additional investment in more comprehensive insurance coverage and increased accessibility to enhance implementation of long-term care insurance is warranted to close the gap.

Appropriate Categorization of Inequality to Inform Policy Decisions: Estimating Distribution of Lifetime Health Using Alternative Approaches to Socioeconomic Stratification

OBJECTIVES

Estimation of gradients in lifetime health, notably quality-adjusted life expectancy (QALE), has largely focused on index of multiple deprivation to categorize the population by socioeconomic position. In this article, we estimate QALE using alternate, individual- rather than area-level, indicators of socioeconomic position.

METHODS

Building on previous research methods, the distribution of QALE is estimated across education and income groups based on data from the Health Survey for England and the Office for National Statistics. QALE is estimated for each group by combining multivariate mortality rates and health-related quality of life (HRQL) weights using life tables. HRQL weights were estimated using ordinary least squares and missing data were handled using multiple imputation.

RESULTS

The estimated lifetime HRQL weights decreased with increased age, lower educational attainment, and lower income. For example, the QALE at birth for males in the lowest educational attainment group was 61.69 quality-adjusted life-years (QALYs), 1.54 QALYs lower than females in the same group. This is in contrast to 76.58 and 75.89 QALYs for males and females in the highest educational attainment group, respectively. A similar trend was observed across income quintiles albeit the gap was less pronounced.

CONCLUSIONS

The use of index of multiple deprivation to assess health inequalities may be masking important information about individual-level variation. Decisions makers should consider this alongside the merits of using area-level approaches to categorizing the population if individual-level approaches are preferable.

Can we increase the value of data from bladder diaries? International Consultation on Incontinence-Research Society 2023

BACKGROUND

Bladder diaries represent a fundamental component in the assessment of patients presenting with lower urinary tract symptoms. Nevertheless, their importance often remains underappreciated and undervalued within clinical practice. This paper aims to conduct a comprehensive review of the existing literature concerning the utility of bladder diaries, underscore the criticality of their precision, elucidate the factors contributing to noncompliance with bladder diary completion, and investigate potential strategies for enhancing patient compliance.

MATERIALS AND METHODS

A review of the English-language scientific literature available in the domains of Medline, Embase, Emcare, Midirs, and Cinahl was conducted. This was supplemented by discussion at the International Consultation on Incontinence Research Society Proposal session to define knowledge and identify gaps in knowledge surrounding the utility of bladder diaries. The existing evidence and outcome of the relevant discussion held in the meeting are presented.

RESULTS

Bladder diaries (BD) serve to characterize the nature and severity of storage lower urinary tract symptoms (LUTS) and provide an objective record of an individual's urination patterns. They aid in the refinement and customization of treatment strategies based on the clinical responses documented in the diary, optimizing treatment outcomes. Notably, both BD and urodynamic studies (UDS) play complementary yet distinct roles in LUTS evaluation. BD offers a more comprehensive and accessible approach to assessing specific storage LUTS, particularly due to their affordability and widespread availability, especially in resource-limited settings. Nevertheless, the absence of a standardized BD format across global healthcare systems presents a significant challenge. Despite being recognized as reliable, noninvasive, validated, and cost-effective tools for evaluating patients with LUTS, the implementation and completion of BD have proven to be complex. The introduction of automated bladder diaries heralds an era of precise, real-time data collection, potentially enhancing the patient-clinician relationship. Completion of bladder diaries depends on an array of individual, social, and healthcare-specific factors. Compliance with bladder diary completion could be enhanced with clear instructions, patient education, regular follow-ups and positive re-enforcement. This study has identified four critical areas for future research: Addressing healthcare disparities between affluent and developing nations, enhancing the current functionality and effectiveness of bladder diaries, exploring the feasibility of incorporating bladder diaries into the treatment and education process and improving the quality and functionality of existing bladder diaries.

CONCLUSION

Bladder diaries play a pivotal role in the evaluation and management of patients with LUTS, providing a holistic perspective. When their complete potential is harnessed, they have the capacity to revolutionize the paradigm of LUTS management, ushering in a patient-centered era of care.

Unpacking the Public Health Triad of Social Inequality in Health, Health Literacy, and Quality of Life-A Scoping Review of Research Characteristics

Social inequalities in health, health literacy, and quality of life serve as distinct public health indicators, but it remains unclear how and to what extent they are applied and combined in the literature. Thus, the characteristics of the research have yet to be established, and we aim to identify and describe the characteristics of research that intersects social inequality in health, health literacy, and quality of life. We conducted a scoping review with systematic searches in ten databases. Studies applying any design in any population were eligible if social inequality in health, health literacy, and quality of life were combined. Citations were independently screened using Covidence. The search yielded 4111 citations, with 73 eligible reports. The reviewed research was mostly quantitative and aimed at patient populations in a community setting, with a scarcity of reports specifically defining and assessing social inequality in health, health literacy, and quality of life, and with only 2/73 citations providing a definition for all three. The published research combining social inequality in health, health literacy, and quality of life is heterogeneous regarding research designs, populations, contexts, and geography, where social inequality appears as a contextualizing variable.

Social determinants in prenatal antidepressant use and continuation: Systematic review and meta-analysis

INTRODUCTION

Depression is one of the most common co-morbidities during pregnancy; with severe symptoms, antidepressants are sometimes recommended. Social determinants are often linked with antidepressant use in the general population, and it is not known if this is the case for pregnant populations. Our objective was to determine if social determinants are associated with prenatal antidepressant intake via a systematic review and meta-analysis.

METHODS

A systematic search of five databases was conducted to identify publications from inception to October 2022 that reported associations with prenatal antidepressant intake (use/continuation) and one or more social determinants: education, race, immigration status, relationship, income, or employment. Eligible studies were included in random effects meta-analyses.

RESULTS

A total of 23 articles describing 22 studies were included. Education was significantly and positively associated with prenatal antidepressant continuation and heterogeneity was moderate. (Odds ratio = 0.83; 95% CI, 0.78 to 0.89; p < 0.00001; I2  = 53%). Meta-analyses of antidepressant use and education, race, and relationship status, and antidepressant continuation and income were not significant with high levels of heterogeneity.

DISCUSSION

While most social determinants in this review were not linked with prenatal antidepressant intake, lower maternal education level does seem to be associated with lower rates of prenatal antidepressant continuation.

CONCLUSIONS

Education appears to be linked with prenatal antidepressant intake. The low number of included studies precludes conclusive evidence for other social determinants.

The measurement of racism in health inequities research

There is limited literature on the measures and metrics used to examine racism in the health inequities literature. Health inequities research is continuously evolving, with the number of publications increasing over time. However, there is limited knowledge on the best measures and methods to examine the impact of different levels of racism (institutionalized, personally mediated, and internalized) on health inequities. Advanced statistical methods have the potential to be used in new ways to examine the relationship between racism and health inequities. In this review, we conduct a descriptive examination of the measurement of racism in the health inequities epidemiologic literature. We examine the study design, methods used for analysis, types of measures used (e.g., composite, absolute, relative), number of measures used, phase of research (detect, understand, solutions), viewpoint (oppressor, oppressed), and components of structural racism measures (historical context, geographical context, multifaceted nature). We discuss methods (e.g., Peters-Belson, latent class analysis, difference in differences) that have demonstrated potential for future work. The articles reviewed were limited to the detect (25%) and understand (75%) phases, with no studies in the solutions phase. Although the majority (56%) of studies had cross-sectional designs, many authors pointed to the need for longitudinal and multilevel data for further exploration. We examined study design features as mutually exclusive elements. However, racism is a multifaceted system and the measurement of racism in many studies does not fit into a single category. As the literature grows, the significance of methodological and measurement triangulation to assess racism should be investigated.

The Impact of Neighborhood Deprivation on the Survival Rates of Patients with Cancer in Korea

The objective of this study is to investigate the correlation between the neighborhood deprivation index and survival rates of cancer patients in Korea. In this study, 5-year age-standardized survival rates of patients with cancer were determined using the National Cancer Cohort from 2014 to 2018 in Korea. The primary cancer sites were the stomach, colorectum, liver, lung, breast, cervix, prostate, and thyroid. Disparities were measured, and their impact on the overall survival rates was assessed using the Korean version of the Neighborhood Deprivation Index. Pearson's correlation coefficient was calculated to determine the strength of the correlation. The study cohort comprised 726,665 patients with cancer, of whom 50.7% were male. The predominant primary cancer sites were the stomach (n = 138,462), colorectum (n = 125,156), and thyroid gland (n = 120,886). Urban residents showed better survival outcomes than those situated in rural areas. The most deprived quartile had the lowest survival rate, while the least deprived quartile had the highest (p < 0.001). Most cancer types revealed significant correlations between neighborhood deprivation and 5-year age-standardized overall survival, with lung cancer showing the most substantial negative correlation (r = -0.510), followed by prostate cancer (r = -0.438). However, thyroid cancer showed only a marginal correlation (p = 0.069). The results of this study suggested that neighborhood deprivation is closely linked to disparities in overall survival across various types of cancer. A substantial negative correlation between the neighborhood deprivation index and all-cause mortality for lung and prostate cancer, as compared to breast and cervical cancers covered by the National Cancer Screening Program, may reinforce the need to address healthcare access and improve the early detection of cancer in socioeconomically deprived neighborhoods.

The association between social support and self-rated health in midlife: are men more affected than women?

Social support from family and friends is recognized as an important social determinant of health, given its protective effects on individuals' physical and mental well-being. While most studies have focused on older adults, investigating midlife health is equally crucial since middle-aged individuals are also susceptible to the harmful health outcomes of inadequate social support from friends and family. This study contributes to the debate by examining whether social support is associated with self-rated health among middle-aged Brazilian adults and how this relationship varies between men and women. Using data from the nationwide Brazilian National Health Survey conducted in 2019, logistic regression models were employed to assess differences in self-rated health, accounting for confounding factors. The sample comprised 31,926 middle-aged adults, of which 52.5% were women. The overall prevalence of poor self-rated health was 40.7%, with a significant difference between men and women. Results from this study suggest that having no friends or family members to rely on, both during good and challenging times, was associated with poorer self-rated health. However, the strength of this association differs by gender, with social support from friends playing a more critical role in women's self-rated health. On the other hand, family support was associated with male self-rated health, particularly for men with three or more family members they can rely on. Future studies should consider cultural and contextual factors to better understand other dimensions of social support and its association with midlife health.

Social patterning of childhood overweight in the French national ELFE cohort

An inverse social gradient in early childhood overweight has been consistently described in high-income countries; however, less is known about the role of migration status. We studied the social patterning of overweight in preschool children according to the mother's socio-economic and migration background. For 9250 children of the French ELFE birth cohort with body mass index collected at age 3.5 years, we used nested logistic regression to investigate the association of overweight status in children with maternal educational level, occupation, household income and migration status. Overall, 8.3% (95%CI [7.7-9.0]) of children were classified as overweight. The odds of overweight was increased for children from immigrant mothers (OR 2.22 [95% CI 1.75-2.78]) and descendants of immigrant mothers (OR 1.35 [1.04-2.78]) versus non-immigrant mothers. The highest odds of overweight was also observed in children whose mothers had low education, were unemployed or students, or were from households in the lowest income quintile. Our findings confirm that socio-economic disadvantage and migration status are risk factors for childhood overweight. However, the social patterning of overweight did not apply uniformly to all variables. These new and comprehensive insights should inform future public health interventions aimed at tackling social inequalities in childhood overweight.

The Use of Navigators to Increase Patient Portal Enrollment among Patients in a Federally Qualified Health Care System

Purpose

To describe the training, preliminary results, and lessons learned from using patient navigators to increase the enrollment of low-income patients in a health system-supported and electronic health record-linked patient portal.

Methods

Patient navigators (n=4) were trained to assist patients in a federally qualified health center to enroll in and use patient portals. Patient navigators were stationed at 3 clinic locations. Data from the electronic health record system (Epic) were used to compare MyChart patient portal activation rates and use among patients for the 8 months before and after patient navigation services were offered.

Results

Navigators offered 83% of eligible patients with activation assistance. Sixty-four percent of the patients (n=1062) offered MyChart enrollment assistance accepted help. Seventy-four percent of assisted patients with no prior MyChart enrollment activated their accounts during that clinic visit. The primary reason for declining MyChart assistance was a lack of access to or comfort with technology. Patient portal activation increased during the 8 months when navigators were at the clinics (51%) compared to the previous 8 months (44%). Most new users viewed lab results and read a message [χ2(1)=49.3, p<.001], with significant increases evident for African Americans [44% before, 49% during; χ2(1)=40.4, p<.001] and Latinx patients [52% before, 60% during; χ2(1)=6.15, p=.013].

Conclusion

Study results suggest that using patient navigators is feasible and beneficial for increasing patient enrollment in the Federally Qualified Health Centers context. However, patient-, clinic-, and system-level factors were identified as barriers and should be addressed in future research studies.

How is equity captured for colorectal, breast and cervical cancer incidence and screening in the Republic of Ireland: A review

Introduction

Organised screening reduces the incidence and late-stage diagnosis of cancer. However, participation in screening is not consistent across populations. Variations can be measured using demographic factors on place of residence, race/ethnicity, occupation, gender/sex, religion, education, socio-economic position (SEP), and social capital (PROGRESS-Plus stratifiers). The Republic of Ireland has screening programmes for colorectal, breast, and cervical cancer but assessment of screening participation and cancer incidence is inconsistent. The review aimed to evaluate the use of stratifiers in breast, cervical and colorectal cancer incidence and screening literature, and assess variations in incidence and screening participation across subgroups in Ireland.

Methods

PubMed was searched systematically and grey literature was identified via Google, Google Scholar, Lenus (Irish Health Research repository), and The Irish Longitudinal Study of Aging (TILDA) in June 2022. Studies were included if they captured stratifiers alongside incidence or screening participation data of the three cancers.

Results

Thirty-six studies and reports were included. Place of residence, SEP, sex, and age were most frequently captured. Incidence and screening participation varied by age, place of residence, SEP, and sex.

Discussion

PROGRESS-Plus is a useful equity lens to review health literature. Cancer incidence and screening participation studies lacked a comprehensive equity lens resulting in difficulties in identifying inequities and non-attenders. Place of residence, SEP and ethnicity should be prioritised in monitoring inequities. Integrating unique health identifiers should improve monitoring and enable evidence-based population-specific interventions to promote screening. Collaboration with community organisations would support engagement with vulnerable populations when data is limited.

Preparing for pragmatic trials in dementia care: Health equity considerations for nonpharmacological interventions

Inequities with regard to brain health, economic costs, and the evidence base for dementia care continue. Achieving health equity in dementia care requires rigorous efforts that ensure disproportionately affected populations participate fully in-and benefit from-clinical research. Embedding-proven interventions under real-world conditions and within existing healthcare systems have the potential to examine the effectiveness of an intervention, improve dementia care, and leverage the use of existing resources. Developing embedded pragmatic controlled trials (ePCT) research designs for nonpharmacological dementia care interventions involves a plethora of a priori assumptions and decisions. Although frameworks exist to determine whether interventions are "ready" for ePCT, there is no heuristic to assess health equity-readiness. We discuss health equity considerations, case examples, and research strategies across ePCT study domains of evidence, risk, and alignment. Future discussions regarding health equity considerations across other domains are needed.

The Health Inequality Impact of Liquid Biopsy to Inform First-Line Treatment of Advanced Non-Small Cell Lung Cancer: A Distributional Cost-Effectiveness Analysis

OBJECTIVES

To perform a distributional cost-effectiveness analysis of liquid biopsy (LB) followed by, if needed, tissue biopsy (TB) (LB-first strategy) relative to a TB-only strategy to inform first-line treatment of advanced non-small cell lung cancer (aNSCLC) from a US payer perspective by which we quantify the impact of LB-first on population health inequality according to race and ethnicity.

METHODS

With a health economic model, quality-adjusted life-years (QALYs) and costs per patient were estimated for each subgroup. Given the lifetime risk of aNSCLC, and assuming equally distributed opportunity costs, the incremental net health benefits of LB-first were calculated, which were used to estimate general population quality-adjusted life expectancy at birth (QALE) by race and ethnicity with and without LB-first. The degree of QALYs and QALE differences with the strategies was expressed with inequality indices. Their differences were defined as the inequality impact of LB-first.

RESULTS

LB-first resulted in an additional 0.21 (95% uncertainty interval: 0.07-0.39) QALYs among treated patients, with the greatest gain observed among Asian patients (0.31 QALYs [0.09-0.61]). LB-first resulted in an increase in relative inequality in QALYs among patients, but a minor decrease in relative inequality in QALE.

CONCLUSIONS

LB-first to inform first-line aNSCLC therapy can improve health outcomes. With current diagnostic performance, the benefit is the greatest among Asian patients, thereby potentially widening racial and ethnic differences in survival among patients with aNSCLC. Assuming equally distributed opportunity costs and access, LB-first does not worsen and, in fact, may reduce inequality in general population health according to race and ethnicity.

Healthcare bias and health inequalities towards displaced Syrians in Lebanon: a qualitative study

Introduction

According to Lebanese official data, Lebanon hosts over 1.5 million displaced Syrians (DS). Research shows that migrants encounter barriers when accessing healthcare. The social determinants of health (SDOH) related to migration are an additional challenge for DS in Lebanon, though bias plays a significant factor in exacerbating health inequalities. This study aims to identify DS perception of healthcare biases in the Lebanese healthcare system, and its consequences on DS' accessing and receiving quality healthcare in Lebanon.

Methods

A qualitative analysis using in-depth, semi-structured interviews was utilized. 28 semi-structured interviews were conducted with doctors (n = 12) and nurses (n = 16) in 2021. Six group interviews were conducted with DS (n = 22) in Lebanese healthcare facilities. The recruitment of participants relied on reasoned and targeted sampling. Thematic analysis was performed to identify common themes in participants' experiences with DS accessing Lebanese healthcare.

Results

The findings indicated that there were barriers to accessing healthcare related to the SDOH, such as transportation and financial resources. The results also suggested that DS perceived health biases, including discriminatory behavior from Lebanese healthcare providers, stereotypes and racism leading to health inequalities.

Conclusion

Based on the perceptions and experiences reported by participants, the underlying causes of biases are due to the fragility of the Lebanese healthcare system when facing a humanitarian crisis as well as a collapsing infrastructure torn by past wars and the current socio-political and financial crises in the country. Global initiatives are required to provide the necessary resources needed for offering equitable health services. Such initiatives involve addressing biases, health inequities, discrimination, and the lack of a Lebanese infrastructure system for the provision of healthcare. Addressing health inequalities remains a major health objective in achieving health equity on the micro level (cultural awareness and competencies) and macro level (equitable distribution of resources, implementation of a universal health coverage) in order to guarantee quality healthcare services to DS.

Quantifying the impact of novel metastatic cancer therapies on health inequalities in survival outcomes

Background: Novel therapies in metastatic cancers have contributed to improvements in survival outcomes, yet real-world data suggest that improvements may be mainly driven by those patient groups who already had the highest survival outcomes. This study aimed to develop and apply a framework for quantifying the impact of novel metastatic cancer therapies on health inequalities in survival outcomes based on published aggregate data. Methods: Nine (N = 9) novel therapies for metastatic breast cancer (mBC), metastatic colorectal cancer (mCRC), and metastatic non-small cell lung cancer (mNSCLC) were identified, 3 for each cancer type. Individual patient data (IPD) for overall survival (OS) and progression-free survival (PFS) were replicated from published Kaplan-Meier (KM) curves. For each cancer type, data were pooled for the novel therapies and comparators separately and weighted based on sample size to ensure equal contribution of each therapy in the analyses. Parametric (mixture) distributions were fitted to the weighted data to model and extrapolate survival. The inequality in survival was defined by the absolute difference between groups with the highest and lowest survival for 2 stratifications: one for which survival was stratified into 2 groups and one using 5 groups. Additionally, a linear regression model was fitted to survival estimates for the 5 groups, with the regression coefficient or slope considered as the inequality gradient (IG). The impact of the pooled novel therapies was subsequently defined as the change in survival inequality relative to the pooled comparator therapies. A probabilistic analysis was performed to quantify parameter uncertainty. Results: The analyses found that novel therapies were associated with significant increases in inequalities in survival outcomes relative to their comparators, except in terms of OS for mNSCLC. For mBC, the inequalities in OS increased by 13.9 (95% CI: 1.4; 26.6) months, or 25.0%, if OS was stratified in 5 groups. The IG for mBC increased by 3.2 (0.3; 6.1) months, or 24.7%. For mCRC, inequalities increased by 6.7 (3.0; 10.5) months, or 40.4%, for stratification based on 5 groups; the IG increased by 1.6 (0.7; 2.4) months, or 40.2%. For mNSCLC, inequalities decreased by 14.9 (-84.5; 19.0) months, or 12.2%, for the 5-group stratification; the IG decreased by 2.0 (-16.1; 5.1) months, or 5.5%. Results for the stratification based on 2 groups demonstrated significant increases in OS inequality for all cancer types. In terms of PFS, the increases in survival inequalities were larger in a relative sense compared with OS. For mBC, PFS inequalities increased by 8.7 (5.9; 11.6) months, or 71.7%, for stratification based on 5 groups; the IG increased by 2.0 (1.3; 2.6) months, or 67.6%. For mCRC, PFS inequalities increased by 5.4 (4.2; 6.6) months, or 147.6%, for the same stratification. The IG increased by 1.3 (1.1; 1.6) months, or 172.7%. For mNSCLC, inequalities increased by 18.2 (12.5; 24.4) months, or 93.8%, for the 5-group stratification; the IG increased by 4.0 (2.8; 5.4) months, or 88.1%. Results from the stratification based on 2 groups were similar. Conclusion: Novel therapies for mBC, mCRC, and mNSCLC are generally associated with significant increases in survival inequalities relative to their comparators in randomized controlled trials, though inequalities in OS for mNSCLC decreased nonsignificantly when stratified based on 5 groups. Although further research using real-world IPD is warranted to assess how, for example, social determinants of health affect the impact of therapies on health inequalities among patient groups, the proposed framework can provide important insights in the absence of such data.

Inequality and COVID-19 in Sweden: Relative risks of nine bad life events, by four social gradients, in pandemic vs. prepandemic years

The COVID-19 pandemic struck societies directly and indirectly, not just challenging population health but disrupting many aspects of life. Different effects of the spreading virus-and the measures to fight it-are reported and discussed in different scientific fora, with hard-to-compare methods and metrics from different traditions. While the pandemic struck some groups more than others, it is difficult to assess the comprehensive impact on social inequalities. This paper gauges social inequalities using individual-level administrative data for Sweden's entire population. We describe and analyze the relative risks for different social groups in four dimensions-gender, education, income, and world region of birth-to experience three types of COVID-19 incidence, as well as six additional negative life outcomes that reflect general health, access to medical care, and economic strain. During the pandemic, the overall population faced severe morbidity and mortality from COVID-19 and saw higher all-cause mortality, income losses and unemployment risks, as well as reduced access to medical care. These burdens fell more heavily on individuals with low income or education and on immigrants. Although these vulnerable groups experienced larger absolute risks of suffering the direct and indirect consequences of the pandemic, the relative risks in pandemic years (2020 and 2021) were conspicuously similar to those in prepandemic years (2016 to 2019).

Nutrition and Food Literacy: Framing the Challenges to Health Communication

Nutrition and food literacy are two important concepts that are often used interchangeably, but they are not synonymous. Nutrition refers to the study of how food affects the body, while food literacy refers to the knowledge, skills, and attitudes necessary to make informed decisions about food and its impact on health. Despite the growing awareness of the importance of food literacy, food illiteracy remains a global issue, affecting people of all ages, backgrounds, and socioeconomic status. Food illiteracy has serious health implications as it contributes to health inequities, particularly among vulnerable populations. In addition, food literacy is a complex and multidisciplinary field, and there are numerous challenges to health communication that must be addressed to effectively promote food literacy and improve health outcomes. Addressing food illiteracy and the challenges to health communication is essential to promote health equity and improve health outcomes for all populations.

Digital health care service reform and health inequity for older people: a quasi-natural experiment in China

Objective

Addressing health inequity (HI) for older people is a pivotal global public health concern, as it impedes the process of healthy ageing. The digital health care service reform (DHSR) emerges as a progressive public health approach to enhance the health and well-being of older adults by providing comprehensive and equitable medical services. This study elucidates the association between DHSR and HI for older individuals to augment comprehension of DHSR implementation.

Methods

The initiation of the action plan for smart health and eldercare (SHE) in 2017 serves as a quasi-natural experiment. Utilizing data from the China Health and Retirement Longitudinal Study (CHARLS) in 2015 and 2018, a propensity score matching (PSM) method was used to select samples, and a difference-in-differences (DID) regression was used to ascertain the net effect of DHSR on HI for older individuals in China. This methodology mitigates selection bias and segregates the DHSR effect from temporal shifts or other occurrences.

Results

The PSM-DID analysis reveals that DHSR reduced the HI index for older individuals by 0.301 (p < 0.01). Heterogeneity analyses indicate that the effect of DHSR was more pronounced in older males (-0.333, p < 0.01) than females (-0.251, p < 0.05). The impact of DHSR was notably higher for older population in the western (-0.557, p < 0.01) and central regions (-0.318, p < 0.05) compared to the eastern region, where the relationship was statistically non-significant.

Conclusion

The results demonstrate that DHSR plays a vital role in diminishing HI, fostering inclusive growth in public health. The study underscores the imperative of sustained DHSR endeavours and allocating resources to key older demographics to substantially mitigate HI.

Socioeconomic inequality in self-rated health and its determinants: an Oaxaca blinder decomposition in Ilam, West of Iran during 2023

AIM

To determine inequality and decompose it's in Self-Rated Health (SRH).

METHOD

This population-based cross-sectional study was undertaken on the entire population of the city of Ilam, Iran, in 2023. Multi-stage stratified cluster random sampling with proportion-to-size approach was used to select the participants. Oaxaca-Blinder decomposition technique was used to show the amount of inequity in SRH and to decompose of the gap of SRH between the poor and the rich group of participants.

RESULTS

1370 persons participated in the study. The 59.38% of participants stated good SRH status and just 8.86% of participants had poor SRH status. The results of the Oaxaca-Blinder decomposition revealed a considerable gap (15.87%) in the poor status of SRH between the rich and the poor. A large proportion (89.66%) of this difference was described by explained portion of the model. The results of decomposition showed that economic status was directly responsible for explaining 27.98% of overall inequality gap between rich and poor people. Moreover, hopelessness to future (32.64%), having an underlying disease (18.34%) and difference in the education level (10.71%) were associated with an increase in inequality disfavoring the poor.

CONCLUSION

For people suffering from underlying disease, it is suggested to devise policies to improve access to/and remove healthcare utilization barriers. To address hopelessness to future, it is recommended to carry out further studies to reveal factors which affect it in more details. This can help policy makers to formulate more realistic and evidence-informed policies on order to lessen the current socioeconomic inequity in SRH.

Racial disparities in COVID-19 vaccination in Canada: results from the cross-sectional Canadian Community Health Survey

BACKGROUND

Racial and ethnic disparities in COVID-19 vaccination coverage have been observed in Canada and in other countries. We aimed to compare vaccination coverage for at least 1 dose of a COVID-19 vaccine between First Nations people living off reserve and Métis, Black, Arab, Chinese, South Asian and White people.

METHODS

We used data collected between June 2021 and June 2022 by Statistics Canada's Canadian Community Health Survey, a large, nationally representative cross-sectional study. The analysis included 64 722 participants aged 18 years or older from the 10 provinces. We used a multiple logistic regression model to determine associations between vaccination status and race, controlling for collection period, region of residence, age, gender and education.

RESULTS

Nonvaccination against COVID-19 was more frequent in off-reserve First Nations people (adjusted odds ratio [OR] 1.8, 95% confidence interval [CI] 1.2-2.7) and Black people (adjusted OR 1.7, 95% CI 1.1-2.6), and less frequent among South Asian people (adjusted OR 0.3, 95% CI 0.1-0.7) compared to White people.

INTERPRETATION

This analysis showed significant inequalities in COVID-19 vaccine uptake between racial/ethnic populations in Canada. Further research is needed to understand the sociocultural, structural and systemic facilitators of and barriers to vaccination across racial groups, and to identify strategies that may improve vaccination uptake among First Nations and Black people.

Influence of Social Determinants of Health on the Quality of Life of Older Adults in Europe: A Sex Analysis

Introduction

The global aging population poses challenges for society such as health inequalities among older persons and between genders.

Objectives

To determine how Social Determinants of Health (SDH) influence the quality of life (QoL) of individuals over 50 years old in various European countries, taking a gender perspective in a longitudinal study.

Materials and methods

Sample of 11,493 individuals from 13 European countries from Waves 5 (2013), 6 (2015), and 7 (2017) of the SHARE study. Instruments: CASP-12 (QoL), EURO-D (depression), SDH: gender, age, educational level, socioeconomic status, ethnicity, place of residence, and European region. Sociodemographic and clinical variables. Statistical analysis: Bivariate and multivariate mixed linear models.

Results

The bivariate analysis showed higher economic hardship and lower education in women compared to men. The CASP-12 score was higher in men than in women. In the multivariate analysis, the variables associated with lower QoL scores among men and women from Wave 5 to Wave 7 were: (β:-0.196, 95% CI: -0.345; -0.047) vs (β:0.038, 95% CI: -0.122; 0.197); economic hardship; and the European region between South and North (β: 2.709, 95% CI: 2.403; 3.015) vs men (β: 2.224, 95% CI: 1.896; 2.551).

Conclusions

The main SDH associated with poorer QoL were female gender, advanced age, economic hardship, educational level, and geographic location within Europe. Depression in women and in Southern Europe were associated with a decrease in QoL scores.

Socioeconomic Inequalities in Type 2 Diabetes: Mediation Through Status Anxiety?

Objectives: While status anxiety has received attention as a potential mechanism generating health inequalities, empirical evidence is still limited. Studies have been ecological and have largely focused on mental and not physical health outcomes. Methods: We conducted individual-level analyses to assess status anxiety (feelings of inferiority resulting from social comparisons) and resources (financial difficulties) as mediators of the relationship between socioeconomic status (SES) (education/occupation/employment status) and type 2 diabetes (T2D). We used cross-sectional data of 21,150 participants (aged 18-70 years) from the Amsterdam-based HELIUS study. We estimated associations using logistic regression models and estimated mediated proportions using natural effect modelling. Results: Odds of status anxiety were higher among participants with a low SES [e.g., OR = 2.66 (95% CI: 2.06-3.45) for elementary versus academic occupation]. Odds of T2D were 1.49 (95% CI: 1.12-1.97) times higher among participants experiencing status anxiety. Proportion of the SES-T2D relationship mediated was 3.2% (95% CI: 1.5%-7.0%) through status anxiety and 10.9% (95% CI: 6.6%-18.0%) through financial difficulties. Conclusion: Status anxiety and financial difficulties played small but consistent mediating roles. These individual-level analyses underline status anxiety's importance and imply that status anxiety requires attention in efforts to reduce health inequalities.

Evolution of storytelling pedagogy in global health course at a U.S. Native American-Serving Nontribal Institution from Fall 2019 to Spring 2023

Background and purpose

Responding to COVID-19-induced disruptions to traditional teaching methodologies, and considering the relevance of narratives among indigenous populations, "storytelling as pedagogy" was developed and implemented in the undergraduate Global Health course in a Native American-Serving Nontribal Institution (NASNTI) in Colorado.

Methods

We describe the evolving pedagogic adjustments and storytelling strategies incorporated into the global health course from Fall 2019 to Spring 2023. This entailed before the COVID-19 in-person format, online digital storytelling during the pandemic emergency, the HyFlex and hybrid classes with the emergence of "new normals," and finally the gradual move to in-person classes. The story arc in the course included the following: (1) Course learning outcomes revisited and the course syllabus language framed based on the native philosophies of empowerment education and experiential learning, (2) students' inputs sought to incorporate socioculturally responsive topics in the course syllabus (e.g., dental health disparities among indigenous populations), (3) strategic and non-threatening shifts such as "no textbooks" and "no finals" introduced, (4) global health thought partners invited by the course instructor and coached to use story-based teaching methods, (5) use of first-person trauma-informed storytelling methods to teach specific global health topics, and (6) students undertook gratitude journaling, a scaffolding exercise of writing letters on global health topics to global health thought partners.

Results

Storytelling as pedagogy was most effective in the in-person format, while digital storytelling during the COVID-19-induced online classes was extremely challenging considering the stark digital divide in the Navajo Nation. First-person, trauma-informed storytelling is a helpful approach to discuss insider-outsider perspectives and can potentially establish sustainable trustworthy relationships among the students, instructor, and global health thought leaders. Gratitude journaling and photovoice can be tweaked as powerful storytelling methods to build students' interaction-based critical thinking, intercultural humility, and professional networking.

Conclusion

Mapping storytelling pedagogies' best practices can be useful in developing a granulated understanding of this strategy and utilizing them across diverse disciplines in higher education. Faculty capacity building is recommended to enable the former to conceptualize culturally responsive storytelling pedagogies and create assessment plans to assess students' learning outcomes through the utilization of this method.

Barriers to Antiretroviral Medication Adherence in People Living with HIV (PLHIV) at the Time of the COVID-19 Pandemic in the Philippines

Background: During the COVID-19 pandemic, the HIV crisis in the Philippines worsened and triggered a chain reaction that disrupted the provision and utilization of HIV services. This study aims to fill in the gap in knowledge by exploring the possible association between sociodemographic characteristics and the barriers to ART adherence for PLHIV in the Philippines at the time of the COVID-19 pandemic. Methods: A cross-sectional study was performed by using a survey questionnaire, which was distributed via online social media (Twitter). Data were analyzed using the Stata software. Results: There is a significant association between the following treatment barriers and sociodemographic characteristics: the location of treatment hubs and respondents who finished college/graduate studies; checkpoints and crossing borders; and (1) respondents from Northern Luzon Region, (2) unemployed respondents and financial assistance-1. respondents 18 to 25 years old; 2. unemployed respondents-(3) respondents who finished elementary/high school and psychosocial support-(1) respondents from the NCR; (2) respondents 26 to 30 years old, stocks of ARVs and other medicines, and employed respondents. Conclusions: The results suggest a necessity for innovative approaches to make HIV care services, particularly ART, more accessible to PLHIV during the COVID-19 pandemic. Future large-scale studies exploring the association between sociodemographic characteristics and barriers to medication adherence of PLHIV during the COVID-19 pandemic are recommended.

The distribution of registered occupational therapists, physiotherapists, and podiatrists in Australia

BACKGROUND

In Australia, the distribution of occupational therapists, physiotherapists, and podiatrists density (per 10,000 population) by measure of location/rurality, usual resident population, and area-level socioeconomic status has not been described.

OBJECTIVE

To describe the national as well as states-and territories-wide distribution of registered allied health workforce-occupational therapists, physiotherapists, and podiatrists-by measures of rurality and area-level socioeconomic position in Australia.

METHODS

A linked data study that brings together (1) the location of health practitioners' principal place of practice from the Australian Health Practitioner Regulation Agency, (2) a measure of location/rurality-Modified Monash Model (MMM), and (3) an area-level measure of socioeconomic status-Index of Relative Socio-Economic Advantage and Disadvantage (IRSAD). The provider-to-population ratio (i.e., density) of three Australia's allied health workforce (occupational therapists, physiotherapists, and podiatrists) was calculated according to the MMM classifications (i.e., Modified Monash 1-7) and IRSAD quintiles at state and national level.

RESULTS

Nationwide, the density of occupational therapists and physiotherapists was highest in metropolitan areas (Modified Monash 1) and decreased with the increasing levels of the MMM categories. The national density of podiatrists was highest in Modified Monash 3 areas. The density of occupational therapists, physiotherapists, and podiatrists was highest in areas with IRSAD quintile 5 (i.e., the highest socioeconomic position) and decreased with the declining levels of the IRSAD quintiles nationwide. Moreover, there were notable disparities in the density of occupational therapists, physiotherapists, and podiatrists across each state and territory in Australia when stratified by the MMM classifications and IRSAD quintiles.

CONCLUSIONS

There was uneven distribution of registered occupational therapists, physiotherapists, and podiatrists when stratified by measures of location/rurality and area-level socioeconomic status across Australian jurisdictions. The density of these three groups of allied health workforce tended to be more concentrated in metropolitan and most advantaged areas while remote and most disadvantaged areas exhibited less allied health workforce distribution across each state and territory.

Development of geographic inequality in dental caries and its association with socioeconomic factors over an 18-year period in Denmark

BACKGROUND

Few studies have examined the development of geographic and socioeconomic inequalities in caries over time or have simultaneously assessed individual-level socioeconomic position (SEP) and neighborhood-level factors as a multi-layered phenomenon influencing caries inequalities. This study examined (i) the trends in geographic inequalities in caries among adolescents in Denmark and (ii) how the association between SEP and caries has progressed over time, when accounting for individual and neighborhood-level confounding factors.

METHODS

This nationwide repeated cross-sectional study included 15-year-olds in Denmark from 1995, 2003, and 2013 (n = 149,808). The outcome was caries experience (measured by the decayed, missing, and filled tooth surfaces [DMFS] index). The exposure of interest was SEP, indicated by the previous year's parental education, occupational social class, and (equivalized) disposable household income. Covariates included individual-level factors (immigration status, country of origin, number of children and persons in the family, and household type) and neighborhood (residence municipality)-level factors (Gini index; proportion of unemployed, low-educated, and unmarried/non-cohabiting individuals; proportion of single-parent households and households with overcrowding). Data sources included the Danish national dental and administrative social registers and Statistics Denmark's statistics database (StatBank). Data were analyzed using spatial and spatiotemporal modelling utilizing zero-inflated negative binomial regressions and integrated nested Laplace approximations for Bayesian parametric inference. Observed caries experience geo-maps of the Danish municipalities for 1995, 2003, and 2013 were created.

RESULTS

Between 1995 and 2013, caries prevalence in the 15-year-olds declined sharply (1995, 71%; 2013, 45%). Caries experience declined in nearly all socioeconomic subgroups and municipalities. However, geographic inequalities persisted with higher caries levels largely concentrated in the relatively deprived areas of Denmark. Increasing relative socioeconomic inequalities in caries over time were observed with significant graded associations between SEP and caries despite adjustment for the various individual and neighborhood-level covariates and the effect of assessment year (e.g., 15-year-olds with parents having basic education had 1.91-fold [95% CI: 1.86-1.95] higher caries experience than those having parents with high education).

CONCLUSIONS

Reducing these enduring inequalities will likely require additional resources and targeted supportive and preventive measures for adolescents from lower SEP backgrounds and those residing in municipalities with higher caries prevalence.

Considerations for addressing bias in artificial intelligence for health equity

Health equity is a primary goal of healthcare stakeholders: patients and their advocacy groups, clinicians, other providers and their professional societies, bioethicists, payors and value based care organizations, regulatory agencies, legislators, and creators of artificial intelligence/machine learning (AI/ML)-enabled medical devices. Lack of equitable access to diagnosis and treatment may be improved through new digital health technologies, especially AI/ML, but these may also exacerbate disparities, depending on how bias is addressed. We propose an expanded Total Product Lifecycle (TPLC) framework for healthcare AI/ML, describing the sources and impacts of undesirable bias in AI/ML systems in each phase, how these can be analyzed using appropriate metrics, and how they can be potentially mitigated. The goal of these "Considerations" is to educate stakeholders on how potential AI/ML bias may impact healthcare outcomes and how to identify and mitigate inequities; to initiate a discussion between stakeholders on these issues, in order to ensure health equity along the expanded AI/ML TPLC framework, and ultimately, better health outcomes for all.

The Impact of Health Geography on Public Health Research, Policy, and Practice in Canada

The link between geography and health means that the places we occupy-where we are born, where we live, where we work, and where we play-have a direct impact on our health, including our experiences of health. A subdiscipline of human geography, health geography studies the relationships between our environments and the impact of factors that operate within those environments on human health. Researchers have focused on the social and physical environments, including spatial location, patterns, causes of disease and related outcomes, and health service delivery. The work of health geographers has adopted various theories and philosophies (i.e., positivism, social interactionism, structuralism) and methods to collect and analyze data (i.e., quantitative, qualitative, spatial analysis) to examine our environments and their relationship to health. The field of public health is an organized effort to promote the health of its population and prevent disease, injury, and premature death. Public health agencies and practitioners develop programs, services, and policies to promote healthy environments to support and enable health. This commentary provides an overview of the recent landscape of health geography and makes a case for how health geography is critically important to the field of public health, including examples from the field to highlight these links in practice.