Evidence map›Paper›PMID 37205637›Full record

ArticleJMIR research protocols2023

Understanding Resilience and Mental Well-Being in Southwest Indigenous Nations and the Impact of COVID-19: Protocol for a Multimethods Study.

Julie A Baldwin, Angelica Alvarado, Karen Jarratt-Snider, Amanda Hunter, Chesleigh Keene, Angelina E Castagno, Alisse Ali-Joseph, Juliette Roddy, Manley A Begay, Darold H Joseph and 6 more

Abstract read
In one paragraph

Article in JMIR research protocols, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Exploring the Role of Indigenous Determinants of Health in the Resilience of Native Nations during COVID-19.American Indian and Alaska native mental health research (Online) · 2025
    Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Julie A Baldwin *Northern Arizona University, Flagstaff, AZ, United States.ORCID https://orcid.org/0000-0003-1872-1925
Angelica Alvarado *Northern Arizona University, Flagstaff, AZ, United States.ORCID https://orcid.org/0000-0002-9362-3068
Karen Jarratt-Snider *Northern Arizona University, Flagstaff, AZ, United States.ORCID https://orcid.org/0000-0002-2009-1275
Amanda Hunter *Northern Arizona University, Flagstaff, AZ, United States.ORCID https://orcid.org/0000-0001-6442-1312
Chesleigh Keene *Northern Arizona University, Flagstaff, AZ, United States.ORCID https://orcid.org/0000-0002-7193-755X
Angelina E Castagno *Northern Arizona University, Flagstaff, AZ, United States.ORCID https://orcid.org/0000-0001-9193-0542
Alisse Ali-Joseph *Northern Arizona University, Flagstaff, AZ, United States.ORCID https://orcid.org/0000-0003-3317-283X
Juliette Roddy *Northern Arizona University, Flagstaff, AZ, United States.ORCID https://orcid.org/0000-0002-4917-8884
Manley A Begay *Northern Arizona University, Flagstaff, AZ, United States.ORCID https://orcid.org/0009-0005-5156-2868
Darold H Joseph *Northern Arizona University, Flagstaff, AZ, United States.ORCID https://orcid.org/0000-0002-0386-3093
Carol Goldtooth *Northern Arizona University, Flagstaff, AZ, United States.ORCID https://orcid.org/0009-0005-1374-7431
Carolyn Camplain *Northern Arizona University, Flagstaff, AZ, United States.ORCID https://orcid.org/0000-0003-1903-9311
Melinda Smith *Northern Arizona University, Flagstaff, AZ, United States.ORCID https://orcid.org/0009-0002-3643-2393
Kelly McCue *Northern Arizona University, Flagstaff, AZ, United States.ORCID https://orcid.org/0000-0002-8383-0338
Andria B Begay *Northern Arizona University, Flagstaff, AZ, United States.ORCID https://orcid.org/0009-0009-8143-7063
Nicolette I Teufel-Shone *Northern Arizona University, Flagstaff, AZ, United States.ORCID https://orcid.org/0000-0002-7548-819X

Funding

SSCIMA: Integrating Analysis of Socio-economic Sub-population Dynamics to Improve Spatial Models of Infectious DiseaseU54MD012388 · NIMHD · NORTHERN ARIZONA UNIVERSITY · PI Julie A. Baldwin · 2017 to 2026
$49.7M
NAU RISE for Native American StudentsR25GM127199 · NIGMS · NORTHERN ARIZONA UNIVERSITY · PI PROPPER, CATHERINE R · 2018 to 2022
$2.6M
NIGMS NIH HHS R25 GM127199NIMHD NIH HHS U54 MD012388
6 · The paper itself

Abstract

backgroundDespite experiencing many adversities, American Indian and Alaska Native populations have demonstrated tremendous resilience during the COVID-19 pandemic, drawing upon Indigenous determinants of health (IDOH) and Indigenous Nation Building.

objectiveOur multidisciplinary team undertook this study to achieve two aims: (1) to determine the role of IDOH in tribal government policy and action that supports Indigenous mental health and well-being and, in turn, resilience during the COVID-19 crisis and (2) to document the impact of IDOH on Indigenous mental health, well-being, and resilience of 4 community groups, specifically first responders, educators, traditional knowledge holders and practitioners, and members of the substance use recovery community, working in or near 3 Native nations in Arizona.

methodsTo guide this study, we developed a conceptual framework based on IDOH, Indigenous Nation Building, and concepts of Indigenous mental well-being and resilience. The research process was guided by the Collective benefit, Authority to control, Responsibility, Ethics (CARE) principles for Indigenous Data Governance to honor tribal and data sovereignty. Data were collected through a multimethods research design, including interviews, talking circles, asset mapping, and coding of executive orders. Special attention was placed on the assets and culturally, socially, and geographically distinct features of each Native nation and the communities within them. Our study was unique in that our research team consisted predominantly of Indigenous scholars and community researchers representing at least 8 tribal communities and nations in the United States. The members of the team, regardless of whether they identified themselves as Indigenous or non-Indigenous, have many collective years of experience working with Indigenous Peoples, which ensures that the approach is culturally respectful and appropriate.

resultsThe number of participants enrolled in this study was 105 adults, with 92 individuals interviewed and 13 individuals engaged in 4 talking circles. Because of time constraints, the team elected to host talking circles with only 1 nation, with participants ranging from 2 to 6 in each group. Currently, we are in the process of conducting a qualitative analysis of the transcribed narratives from interviews, talking circles, and executive orders. These processes and outcomes will be described in future studies.

conclusionsThis community-engaged study lays the groundwork for future studies addressing Indigenous mental health, well-being, and resilience. Findings from this study will be shared through presentations and publications with larger Indigenous and non-Indigenous audiences, including local recovery groups, treatment centers, and individuals in recovery; K-12 and higher education educators and administrators; directors of first responder agencies; traditional medicine practitioners; and elected community leaders. The findings will also be used to produce well-being and resilience education materials, in-service training sessions, and future recommendations for stakeholder organizations. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/44727.

Indexed as

community-engaged researchCOVID-19IndigenousNative nationsresiliencewell-being

Identifiers

PMID37205637
PMCPMC10365583

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.