Fulfilling Ethical Responsibility: Moving Beyond the Minimal Standards of Protecting Human Subjects from Research Harm

Patterns of contamination and burden of lead and arsenic in rooftop harvested rainwater collected in Arizona environmental justice communities

As climate change exacerbates water scarcity, rainwater harvesting for household irrigation and gardening becomes an increasingly common practice. However, the use and quality of harvested rainwater are not well studied, and the potential pollutant exposures associated with its use are generally unknown. There are currently no federal standards in the United States to assess metal(loid)s in harvested rainwater. Project Harvest, a community science research project, was created to address this knowledge gap and study the quality of harvested rainwater, primarily used for irrigation, in four environmental justice communities in Arizona, USA. Community scientists collected 577 unique rooftop harvested rainwater samples from 2017 to 2020, which were analyzed for metal(loid)s, where arsenic (As) concentrations ranged from 0.108 to 120 μg L^-1 and lead (Pb) concentrations ranged from 0.013 to 350 μg L^-1 and compared to relevant federal/state standards/recommendations. Community As and Pb concentrations decreased as: Hayden/Winkelman > Tucson > Globe/Miami > Dewey-Humboldt. Linear mixed models were used to analyze rooftop harvested rainwater data and results indicated that concentrations of As and Pb in the summer monsoon were significantly greater than winter; and contamination was significantly greater closer to extractive industrial sites in three of the four study communities (ASARCO Hayden Plant Superfund Alternative site in Hayden/Winkelman, Davis-Monthan United States Air Force Base in Tucson - Pb only, and Freeport McMoRan Copper and Gold Mine in Globe/Miami). Based on models, infrastructure such as proximity to roadway, roof material, presence of a cistern screen, and first-flush systems were not significant with respect to As and Pb when controlling for relevant spatiotemporal variables; whereas, cistern age was associated with Pb concentrations. These results however, indicate that concentrations vary seasonally and by proximity to industrial activity, not by decisions made regarding collection system infrastructures at the individual home level. This study shows that generally, individuals are not responsible for environmental contamination of rooftop harvested rainwater, rather activities and decisions of government and corporate industries control contaminant release.

Structural Influences on Consent Decisions in Participatory Health Research in Eswatini

Recognition that structural factors influence participation decisions and have potential to coerce participation, emerged relatively recently in research ethics literature. Empirical evidence to elucidate the nature of "structural" coercion and influence is needed to optimise respect for autonomy through voluntary informed consent. We present findings from ethnographic data about community co-researchers' experiences designing and implementing demographic and health survey consent procedures in participatory health research in Eswatini. Informed by Bourdieu's sociological theory of multiple types of capital/power, our findings detail structural influences on research participation decisions, highlight the inherently power-laden dynamics of consent interactions, and suggest that to be optimally ethical, research ethics principles and practices should consider and account for structural power dynamics.

Adaptation of an evidence-based parenting intervention for integration into maternal-child home-visiting programs: Challenges and solutions

Background

The objective of this study was to assess potential challenges, prioritize adaptations, and develop an implementation and research approach to integrate and study a parenting intervention for mothers in recovery from substance use disorders in community-based home-visiting programs.

Method

An explanatory mixed-methods design, guided by process mapping with Failure Modes and Effects Analysis tools, and an Advisory Panel of 15 community members, identified potential implementation challenges and recommended solutions for the proposed intervention within five pre-specified domains. Thematic content analysis identified themes from detailed field notes.

Results

The Advisory Panel identified 44 potential challenges across all domains. They determined that the recruitment domain was most likely to create challenges. Regarding the potential challenges, two cross-domain themes emerged: (1) development of mistrust in the community and (2) difficulty initiating and sustaining engagement. Potential solutions and adaptations to protocols are reported.

Conclusion

Mistrust in the community was cited as a potentially important challenge for the delivery and study of an evidence-based parenting intervention for mothers in recovery through home-visiting programs. Adaptations to research protocols and intervention delivery strategies are needed to prioritize the psychological safety of families, particularly for groups that have been historically stigmatized.

Beyond the Belmont Principles: A Community-Based Approach to Developing an Indigenous Ethics Model and Curriculum for Training Health Researchers Working with American Indian and Alaska Native Communities

Individuals responsible for carrying out research within their diverse communities experience a critical need for research ethics training materials that align with community values. To improve the capacity to meet local human subject protections, we created the research Ethics Training for Health in Indigenous Communities (rETHICS), a training curriculum aligned within American Indian and Alaska Native (AI/AN) context, culture, and community-level ethical values and principles. Beginning with the Belmont Report and the Common Rule that defines research with human subjects (46 CFR 45), the authors convened three different expert panels (N = 37) to identify Indigenous research values and principles common across tribal communities. The resulting culturally grounded curriculum was then tested with 48 AI/AN individuals, 39 who also had recorded debriefing interviews. Using a thematic analysis, we coded the qualitative feedback from the expert panel discussions and the participant debriefings to assess content validity. Participants identified five foundational constructs needed to ensure cultural-grounding of the AI/AN-specific research training curriculum. These included ensuring that the module was: (a) framed within an AI/AN historical context; (b) reflected Indigenous moral values; (c) specifically linked AI/AN cultural considerations to ethical procedures; (d) contributed to a growing Indigenous ethics; and (e) provided Indigenous-based ethics tools for decision making. Using community-based consultation and feedback from participants led to a culturally grounded training curriculum that teaches research ethical principles and procedures for conducting research with AI/ANs. The curriculum is available for free and the community-based process used can be adapted for other cultural groups.

Strategies for conducting health research with Latinos during times of political incivility

AIM

The current US political climate towards immigrants introduces new challenges for researchers already struggling to recruit and retain Latino participants in health research. The purpose of this work is to illuminate how current political incivility further deters participation by Latinos in research and present strategies to overcome these challenges.

DESIGN/METHODS

In this discursive piece, we describe how political incivility serves as a proxy for discrimination, discusses the impact of political incivility on health and health outcomes and explores existing knowledge of recruitment and retention strategies in the light of a current, adversely impacted health study with Latinos during the 2016 election season.

RESULTS

Future work should consider the critical contextual factors (including political incivility) faced by Latinos in the US, while continuing to engage in established research strategies such as increasing trust, developing strong community presence, reducing risks (real and perceived) and being thoughtful in research design and implementation.

Stakeholder-driven, consensus development methods to design an ethical framework and guidelines for engaged research

Increasingly, researchers seek to engage communities, patients, and stakeholders as partners in the process and products of health research. However, there is no existing stakeholder-driven ethical framework for such engaged scholarship. We employed an iterative, stakeholder-engaged method to develop a data-driven framework for the ethical review and conduct of engaged scholarship. We used consensus development conference methods and a modified Delphi survey to engage 240 community members, ethicists, and academic researchers. This multi-staged process produced a framework with 4 domains: vision of equitable and just research, relationship dynamics, community-informed risk/benefits assessment, and accountability. Within the framework, 4 cross-cutting considerations and 15 statements explicate the stakeholders' priorities for the ethical review and conduct of engaged scholarship. Though the findings are promising, the study is limited in that it focuses on stakeholder perspectives, but does not actually evaluate or apply the findings in the field. The stakeholder-engaged framework provides a platform for further articulation of ethical practices and policy for engaged scholarship.

Community-based Participatory Research Is Needed to Address Pulmonary Health Disparities

Socioeconomic and racial disparities in the outcomes of medical management remain common across pulmonary diseases in the United States and worldwide. Acknowledging this, the American Thoracic Society recently put forth recommendations to advance respiratory health equity. Through engagement of vulnerable communities in search of collaborative solutions to improve health disparities, community-based participatory research embodies concepts essential to the American Thoracic Society mission for respiratory health equity. The purpose of this commentary is to provide an overview of the principles of community-based participatory research and the application of this approach to addressing inequity in the outcomes of treatment for lung disease. Community-based participatory research aims to decrease health disparities by recognizing the social and ecological paradigms of health care and by partnering community members with academic researchers in all aspects of the research process. Community partners are uniquely poised to offer insight into local culture, circumstances that guide health behaviors, and other challenges to improve their own community's health. Sustainable interventions, either through strengthening existing community assets or through community empowerment and local capacity building throughout the research process, are essential to the success of community-based participatory research. The National Institutes of Health and other funding agencies offer funding opportunities to support specific interventions aimed at engaging community members in the research process. In pulmonary medicine, community-based initiatives have focused primarily on improving pediatric asthma outcomes. Using a community-based approach in adult asthma and other pulmonary diseases could be an ideal manner in which to decrease pulmonary health disparities.

Active involved community partnerships: co-creating implementation infrastructure for getting to and sustaining social impact

Active involved community partnerships (AICPs) are essential to co-create implementation infrastructure and translate evidence into real-world practice. Across varied forms, AICPs cultivate community and tribal members as agents of change, blending research and organizational knowledge with relationships, context, culture, and local wisdom. Unlike selective engagement, AICPs enable active involvement of partners in the ongoing process of implementation and sustainability. This includes defining the problem, developing solutions, detecting practice changes, aligning organizational supports, and nurturing shared responsibility, accountability, and ownership for implementation. This paper builds on previously established active implementation and scaling functions by outlining key AICP functions to close the research-practice gap. Part of a federal initiative, California Partners for Permanency (CAPP) integrated AICP functions for implementation and system change to reduce disproportionality and disparities in long-term foster care. This paper outlines their experience defining and embedding five AICP functions: (1) relationship-building; (2) addressing system barriers; (3) establishing culturally relevant supports and services; (4) meaningful involvement in implementation; and (5) ongoing communication and feedback for continuous improvement. Planning for social impact requires the integration of AICP with other active implementation and scaling functions. Through concrete examples, authors bring multilevel AICP roles to life and discuss implications for implementation research and practice.

Combining evidence from multiple electronic health care databases: performances of one-stage and two-stage meta-analysis in matched case-control studies

PURPOSE

Clustering of patients in databases is usually ignored in one-stage meta-analysis of multi-database studies using matched case-control data. The aim of this study was to compare bias and efficiency of such a one-stage meta-analysis with a two-stage meta-analysis.

METHODS

First, we compared the approaches by generating matched case-control data under 5 simulated scenarios, built by varying: (1) the exposure-outcome association; (2) its variability among databases; (3) the confounding strength of one covariate on this association; (4) its variability; and (5) the (heterogeneous) confounding strength of two covariates. Second, we made the same comparison using empirical data from the ARITMO project, a multiple database study investigating the risk of ventricular arrhythmia following the use of medications with arrhythmogenic potential. In our study, we specifically investigated the effect of current use of promethazine.

RESULTS

Bias increased for one-stage meta-analysis with increasing (1) between-database variance of exposure effect and (2) heterogeneous confounding generated by two covariates. The efficiency of one-stage meta-analysis was slightly lower than that of two-stage meta-analysis for the majority of investigated scenarios. Based on ARITMO data, there were no evident differences between one-stage (OR = 1.50, CI = [1.08; 2.08]) and two-stage (OR = 1.55, CI = [1.12; 2.16]) approaches.

CONCLUSIONS

When the effect of interest is heterogeneous, a one-stage meta-analysis ignoring clustering gives biased estimates. Two-stage meta-analysis generates estimates at least as accurate and precise as one-stage meta-analysis. However, in a study using small databases and rare exposures and/or outcomes, a correct one-stage meta-analysis becomes essential.

A Personal Touch: The Most Important Strategy for Recruiting Latino Research Participants

People from non-White racial groups and other underserved populations, including Latinos, are frequently reluctant to participate in research. Yet their participation into research is foundational to producing information that researchers and health care providers need to address health disparities. The purpose of this article is to describe challenges we have encountered along with culturally relevant strategies we used in five research studies to recruit Mexican American participants from community settings, some of whom were also of low socioeconomic status. We found that the most effective recruitment strategies reflect the common cultural values of personalismo, simpátia, confianza, respeto, and familismo.

Recruiting Participants into Pilot Trials: Techniques for Researchers with Shoestring Budgets

Limited research has focused on recruitment strategies for health promotion researchers conducting small-scale pilot studies. Such research is important because small studies often have limited funding streams and personnel resources. Accordingly, many techniques implemented by large-scale studies are of limited use to smaller research projects. This article provides an overview effective participant recruitment techniques for pilot studies with limited funds and personnel resources. Recruitment techniques were derived from the first author's experience in recruiting participants during his doctoral and postdoctoral studies, the over 25 years of research experience of each of the co-authors, and an extensive review of the literature. Five key recruitment techniques are discussed: 1) leverage existing social networks and personal contacts, 2) identify and foster collaborations with community gatekeepers, 3) develop a comprehensive list of potential recruitment platforms and venues, 4) create recruitment materials that succinctly describe the purpose of the study, and 5) build respectful and trusting relationships with potential participants. Implementation of the proposed techniques can lead to enhanced recruitment, as well as retention among study participants.

A Legacy of Science and Community Engagement via the Community Networks Program

This special issue documents the progress of a unique group of research investigations that further legitimize the engagement of affected communities in quality cancer health disparities research and, the importance of mentoring and training of new and diverse health disparity researchers. The implications for the reduction and elimination of cancer health disparities within the United States are apparent. The diversity of populations included in these novel studies also has implications for addressing inequities in a global context.