Community-based screening and triage connecting First Nations children and youth to local supports: a cross-sectional study.

BACKGROUND: First Nations children in Canada experience health inequities. We aimed to determine whether a self-report health app identified children's needs for support earlier in their illness than would typically occur. METHODS: Children (aged 8 to 18 yr) were recruited from a rural First Nation community. Children completed the Aaniish Naa Gegii: the Children's Health and Well-being Measure (ACHWM) and then met with a local mental health worker who determined their risk status. ACHWM Emotional Quadrant Scores (EQS) were compared between 3 groups of children: healthy peers (HP) who were not at risk, those with newly identified needs (NIN) who were at risk and not previously identified, and a typical treatment (TT) group who were at risk and already receiving support. RESULTS: We included 227 children (57.1% girls), and the mean age was 12.9 (standard deviation [SD] 2.9) years. The 134 children in the HP group had a mean EQS of 80.1 (SD 11.25), the 35 children in the NIN group had a mean EQS of 67.2 (SD 13.27) and the 58 children in the TT group had a mean EQS of 66.2 (SD 16.30). The HP group had significantly better EQS than the NIN and TT groups (p < 0.001). The EQS did not differ between the NIN and TT groups (p = 0.8). INTERPRETATION: The ACHWM screening process identified needs for support among 35 children, and the associated triage process connected them to local services; the similarity of EQS in the NIN and TT groups highlights the value of community screening to optimize access to services. Future research will examine the impact of this process over the subsequent year in these groups.

Wise Practices for Cultural Safety in Electronic Health Research and Clinical Trials With Indigenous People: Secondary Analysis of a Randomized Clinical Trial.

BACKGROUND: There is a paucity of controlled clinical trial data based on research with Indigenous peoples. A lack of data specific to Indigenous peoples means that new therapeutic methods, such as those involving electronic health (eHealth), will be extrapolated to these groups based on research with other populations. Rigorous, ethical research can be undertaken in collaboration with Indigenous communities but requires careful attention to culturally safe research practices. Literature on how to involve Indigenous peoples in the development and evaluation of eHealth or mobile health apps that responds to the needs of Indigenous patients, providers, and communities is still scarce; however, the need for community-based participatory research to develop culturally safe technologies is emerging as an essential focus in Indigenous eHealth research. To be effective, researchers must first gain an in-depth understanding of Indigenous determinants of health, including the harmful consequences of colonialism. Second, researchers need to learn how colonialism affects the research process. The challenge then for eHealth researchers is to braid Indigenous ethical values with the requirements of good research methodologies into a culturally safe research protocol. OBJECTIVE: A recent systematic review showed that Indigenous peoples are underrepresented in randomized controlled trials (RCTs), primarily due to a lack of attention to providing space for Indigenous perspectives within the study frameworks of RCTs. Given the lack of guidelines for conducting RCTs with Indigenous communities, we conducted an analysis of our large evaluation data set collected in the Diagnosing Hypertension-Engaging Action and Management in Getting Lower Blood Pressure in Indigenous Peoples and Low- and Middle- Income Countries (DREAM-GLOBAL) trial over a period of five years. Our goal is to identify wise practices for culturally safe, collaborative eHealth and RCT research with Indigenous communities. METHODS: We thematically analyzed survey responses and qualitative interview/focus group data that we collected over five years in six culturally diverse Indigenous communities in Canada during the evaluation of the clinical trial DREAM-GLOBAL. We established themes that reflect culturally safe approaches to research and then developed wise practices for culturally safe research in pragmatic eHealth research. RESULTS: Based on our analysis, successful eHealth research in collaboration with Indigenous communities requires a focus on cultural safety that includes: (1) building a respectful relationship; (2) maintaining a respectful relationship; (3) good communication and support for the local team during the RCT; (4) commitment to co-designing the innovation; (5) supporting task shifting with the local team; and (6) reflecting on our mistakes and lessons learned or areas for improvement that support learning and cultural safety. CONCLUSIONS: Based on evaluation data collected in the DREAM-GLOBAL RCT, we found that there are important cultural safety considerations in Indigenous eHealth research. Building on the perspectives of Indigenous staff and patients, we gleaned wise practices for RCTs in Indigenous communities. TRIAL REGISTRATION: ClinicalTrials.gov NCT02111226; https://clinicaltrials.gov/ct2/show/NCT02111226.

Health profiles of First Nations children living on-reserve in Northern Ontario: a pooled analysis of survey data.

BACKGROUND: The Aboriginal Children's Health and Well-Being Measure (ACHWM) was developed to enable Aboriginal health leaders to gather information on the health of children at a local community level. This paper aims to describe the typical health profiles of First Nation children living on traditional territory as a reference to assist in the interpretation of ACHWM scores. METHODS: Three First Nations in Ontario, Canada, gathered health data from children using the ACHWM administered on Android tablets between 2013 and 2015. The survey data were previously analyzed to inform local health planning. These survey data were pooled to describe the distribution of ACHWM summary and quadrant scores from a larger sample and inform interpretation of ACHWM scores. RESULTS: ACHWM data from 196 participants (aged 7.6 to 21.7 yr) across 3 communities were included in the pooled sample. ACHWM summary scores ranged from 39.8 to 98.7 with a mean of 74.1 (95% confidence interval [CI] 72.5-75.7) and a maximum of 100. Strengths were reported in the spiritual (mean 78.7, 95% CI 76.7-80.8), physical (mean 77.1, 95% CI 75.1-79.0) and emotional (mean 74.4, 95% CI 72.5-76.3) quadrants. The greatest opportunity for improvement was in the mental (cognition) quadrant (mean 61.6, 95% CI 56.9-63.4). INTERPRETATION: This paper presents initial estimates for child health scores based on self-report from a large sample of First Nations children living on reserve. These results establish benchmarks to aid interpretation of the ACHWM scores in these and other communities and contexts in the future.

Relevance of the Aboriginal Children's Health and Well-being Measure Beyond Wiikwemkoong.

INTRODUCTION: Aboriginal children in Canada experience significant disparities in health in comparison to their mainstream peers. As Aboriginal communities and agencies strive to improve health, it is important to measure the impact of new programs and services. Since many Aboriginal children live in rural and remote communities, it is important that communities have access to measurement tools that are relevant and feasible to implement in these contexts. The Aboriginal Children's Health and Well-being Measure (ACHWM) was developed to meet the need for a culturally relevant measure of health and wellbeing for Aboriginal children (ages 8-18 years) in Canada. It was developed within one First Nation community: the Wiikwemkoong Unceded Territory. The intention from inception was to ensure the feasibility and relevance of the ACHWM to other Aboriginal communities. The purpose of this article is to describe the relevance of the ACHWM beyond Wiikwemkoong. METHODS: This article presents the results of a community-based and collaborative research study that was jointly led by an academic researcher and a First Nations Health leader. The research began with the 58-question version of the ACHWM developed in Wiikwemkoong. The ACHWM was then submitted to a well-established process of community review in four new communities (in sequence): Weechi-it-te-win Family Services, M'Chigeeng First Nation, Whitefish River First Nation, and the Ottawa Inuit Children's Centre (OICC). The review process included an initial review by local experts, followed by a detailed review with children and caregivers through a detailed cognitive debriefing process. Each community/agency identified changes necessary to ensure appropriate fit in their community. The results from all communities were then aggregated and analysed to determine the similarities and differences. RESULTS: This research was conducted in 2014 and 2015 at four sites. Interviews with 23 children and 21 caregivers were completed. Key lessons were learned in all communities that enabled the team to improve the ACHWM in subtle but important ways. A total of 12 questions were revised, and four new questions were added during the process. This produced a 62-question version of the ACHWM, which was endorsed by all communities. CONCLUSIONS: The ACHWM has been improved through a detailed review process in four additional communities/agencies and resulted in a stable 62-question version of the survey. This process has demonstrated the relevance of the ACHWM to a variety of Aboriginal communities. This survey provides Aboriginal communities with a culturally appropriate tool to assess and track their children's health outcomes, enabling them to gather new evidence of child health needs and the effectiveness of programs in the future.

Reliability of the Aboriginal Children's Health and Well-Being Measure (ACHWM).

PURPOSE: The aim of this research was to evaluate the reliability of the Aboriginal Children's Health and Well-Being Measure© (ACHWM). METHODS: Two cohorts of children from Wiikwemkoong Unceded Territory were recruited for this study. Each child completed the ACHWM independently on a computer tablet running a customized survey app. The data from the first and second cohorts were used to estimate the internal consistencies using Cronbach's alpha. A subgroup of the second cohort completed the survey twice, within the same day. The data from this subgroup was used to evaluate the test-retest reliability using a random effects Intra-class Correlation Coefficient (ICC). RESULTS: There were 124 participants in the first cohort and 132 participants in the second cohort. The repeated measures subgroup was comprised of 29 participants from the second cohort. The internal consistency statistic (Cronbach's alpha) was 0.93 for the first and second cohorts. The test-retest reliability ICC was 0.94 (95% CI 0.86-0.97) for the ACHWM summary scores based on the repeated measures subgroup. CONCLUSIONS: These results establish the internal consistency and the test-retest validity of the ACHWM. This important finding will enable Aboriginal communities to use this measure with confidence and promote the voices of their children in reporting their health. The ACHWM is an essential data gathering tool that enables evidence-based health care for Aboriginal communities.

A screening mechanism to recognize and support at-risk Aboriginal children.

OBJECTIVES: The Aboriginal Children's Health and Well-Being Measure© (ACHWM) was developed to assess health from the perspectives of Aboriginal children. The purpose of this paper is to document the screening process, embedded within the ACHWM, and assess its effectiveness. METHODS: The ACHWM was implemented in 2014/2015 with children 8 to 18 years of age living on the Wiikwemkoong Unceded Territory. Survey responses were screened to identify potential risk, using an automated algorithm run on computer tablets. Local mental health workers conducted brief mental health assessments to identify and support children at-risk. Data were analyzed to estimate effectiveness of this screening process. RESULTS: A total of 293 children completed the ACHWM. The screening tool identified 35% with potential risk. Mental health workers confirmed 18% of all participants as being at-risk, and all were referred for support. The sensitivity of the tool was 75% while specificity was 79%. Improvements to the screening algorithm resulted in a specificity of 97% and negative predictive value of 95%, with no loss of sensitivity. CONCLUSION: Responsible population health surveys require a process to recognize and respond to answers indicative of health risks. This paper provides an example of a screening and triage process that enabled our survey team to screen responses in real time, respond to potential risk immediately, and connect participants to local support services. This process proved essential to conducting an ethical survey. The high specificity and negative predictive value make it an effective triage tool that is particularly valuable in Aboriginal communities and with higher-risk populations.

Unpacking the Black Box: A Formative Research Approach to the Development of Theory-Driven, Evidence-Based, and Culturally Safe Text Messages in Mobile Health Interventions.

BACKGROUND: Mobile-cellular subscriptions have increased steadily over the past decade. The accessibility of SMS messages over existing mobile networks is high and has almost universal availability even on older and unsophisticated mobile phones and in geographic settings where wireless coverage is weak. There is intensive exploration of this inexpensive mobile telecommunication technology to improve health services and promote behavior change among vulnerable populations. However, a neglected area of research is the documentation and critical analysis of the formative research process required in the development and refinement of effective SMS messages. OBJECTIVE: The objective of this qualitative research study was to identify major factors that may impact on the effectiveness of evidence-based SMS messages designed to reduce health inequities in hypertension management in low resource settings, including Aboriginal populations in high-income countries and rural populations in low-income countries. Specifically, we were interested in uncovering the range of mediators that impact on appropriate message content transmission and, ultimately, on health behavior improvements in a range of these sociocultural settings. METHODS: Collaborative qualitative research with Canadian Aboriginal and Tanzanian participants was conducted to deconstruct the content and transmission of evidence-based health information contained in SMS messages in the context of an international research project designed to address health inequalities in hypertension, and to develop a grounded theory of the major factors that mediate the effectiveness of this communication. We also examined the interrelationship of these mediators with the three essential conditions of the behavior system of the Behavioral Change Wheel model (capability, opportunity, and motivation) and cultural safety. RESULTS: Four focus groups with a total of 45 participants were conducted. Our grounded theory research revealed how discrepancies develop between the evidence-based text message created by researchers and the message received by the recipient in mobile health interventions. These discrepancies were primarily generated by six mediators of meaning in SMS messages: (1) negative or non-affirming framing of advocacies, (2) fear- or stress-inducing content, (3) oppressive or authoritarian content, (4) incongruity with cultural and traditional practices, (5) disconnect with the reality of the social determinants of health and the diversity of cultures within a population, and (6) lack of clarity and/or practicality of content. These 6 mediators of meaning provide the basis for sound strategies for message development because they impact directly on the target populations' capability, opportunity, and motivation for behavior change. CONCLUSIONS: The quality of text messages impacts significantly on the effectiveness of a mobile health intervention. Our research underscores the urgent need for interventions to incorporate and evaluate the quality of SMS messages and to examine the mediators of meaning within each targeted cultural and demographic group. Reporting on this aspect of mobile health intervention research will allow researchers to move away from the current black box of SMS text message development, thus improving the transparency of the process as well as the quality of the outcomes.

Validity of the Aboriginal children's health and well-being measure: Aaniish Naa Gegii?

BACKGROUND: Aboriginal children experience challenges to their health and well-being, yet also have unique strengths. It has been difficult to accurately assess their health outcomes due to the lack of culturally relevant measures. The Aboriginal Children's Health and Well-Being Measure (ACHWM) was developed to address this gap. This paper describes the validity of the new measure. METHODS: We recruited First Nations children from one First Nation reserve in Canada. Participants were asked to complete the ACHWM independently using a computer tablet. Participants also completed the PedsQL. The ACHWM total score and 4 Quadrant scores were expected to have a moderate correlation of between 0.4 and 0.6 with the parallel PedsQL total score, domains (scale scores), and summary scores. RESULTS: Paired ACHWM and PedsQL scores were available for 48 participants. They had a mean age of 14.6 (range of 7 to 19) years and 60.4 % were girls. The Pearson's correlation between the total ACHWM score and a total PedsQL aggregate score was 0.52 (p = 0.0001). The correlations with the Physical Health Summary Scores and the Psychosocial Health Summary Scores were slightly lower range (r = 0.35 p = 0.016; and r = 0.51 p = 0.0002 respectively) and approached the expected range. The ACHWM Quadrant scores were moderately correlated with the parallel PedsQL domains ranging from r = 0.45 to r = 0.64 (p ≤ 0.001). The Spiritual Quadrant of the ACHWM did not have a parallel domain in the PedsQL. CONCLUSIONS: These results establish the validity of the ACHWM. The children gave this measure an Ojibway name, Aaniish Naa Gegii, meaning "how are you?". This measure is now ready for implementation, and will contribute to a better understanding of the health of Aboriginal children.

Assessing children's interpretations of the Aboriginal Children's Health and Well-Being Measure (ACHWM).

BACKGROUND: There are emerging opportunities to improve the health of Aboriginal children and youth. The Aboriginal Children's Health and Well-being Measure (ACHWM) was developed to enable Aboriginal communities to obtain group-level data from the perspectives of their children 8 to 18 years of age. The survey was developed in collaboration with children, based on the Medicine Wheel framework. The purpose of this study was to ensure that children and youth interpreted the ACHWM questions consistently and accurately and to establish the face validity of the survey. METHODS: Children and parents/caregivers from the Wikwemikong Unceded Indian Reserve (Canada) participated in a detailed interview process as they completed the ACHWM, in 2012. Each participant worked through their thought process verbally, to enable the interviewer to identify questions that were misinterpreted or inconsistently interpreted. Questions were revised based on feedback from the participants, and reviewed with new participants until a stable version was established. The resulting version was reviewed by health care providers and community members to further ensure cultural relevance and face validity within the community. RESULTS: A total of 18 interviews, with 9 children and 9 caregivers, were required to achieve a stable version of the survey. The children ranged in age from 8 to 18 years. Revisions were required for 19 questions. Most of these revisions were minor linguistic changes. In addition, 6 questions were deleted due to consistent problems and 4 questions were created to address gaps identified during the process. Community members confirmed the appropriateness of the measure for their community and communicated their pride in their youth's role in the development of this survey. CONCLUSIONS: The result was a 58-question version of the ACHWM that was consistently interpreted and culturally appropriate, and had face validity confirmed by experts from the community, children and their parents/caregivers. The ACHWM is ready to be assessed for relevance to other Aboriginal communities.

I-RREACH: an engagement and assessment tool for improving implementation readiness of researchers, organizations and communities in complex interventions.

BACKGROUND: Non-communicable chronic diseases are the leading causes of mortality globally, and nearly 80% of these deaths occur in low- and middle-income countries (LMICs). In high-income countries (HICs), inequitable distribution of resources affects poorer and otherwise disadvantaged groups including Aboriginal peoples. Cardiovascular mortality in high-income countries has recently begun to fall; however, these improvements are not realized among citizens in LMICs or those subgroups in high-income countries who are disadvantaged in the social determinants of health including Aboriginal people. It is critical to develop multi-faceted, affordable and realistic health interventions in collaboration with groups who experience health inequalities. Based on community-based participatory research (CBPR), we aimed to develop implementation tools to guide complex interventions to ensure that health gains can be realized in low-resource environments. METHODS: We developed the I-RREACH (Intervention and Research Readiness Engagement and Assessment of Community Health Care) tool to guide implementation of interventions in low-resource environments. We employed CBPR and a consensus methodology to (1) develop the theoretical basis of the tool and (2) to identify key implementation factor domains; then, we (3) collected participant evaluation data to validate the tool during implementation. RESULTS: The I-RREACH tool was successfully developed using a community-based consensus method and is rooted in participatory principles, equalizing the importance of the knowledge and perspectives of researchers and community stakeholders while encouraging respectful dialogue. The I-RREACH tool consists of three phases: fact finding, stakeholder dialogue and community member/patient dialogue. The evaluation for our first implementation of I-RREACH by participants was overwhelmingly positive, with 95% or more of participants indicating comfort with and support for the process and the dialogue it creates. CONCLUSIONS: The I-RREACH tool was designed to (1) pinpoint key domains required for dialogue between the community and the research team to facilitate implementation of complex health interventions and research projects and (2) to identify existing strengths and areas requiring further development for effective implementation. I-RREACH has been found to be easily adaptable to diverse geographical and cultural settings and can be further adapted to other complex interventions. Further research should include the potential use of the I-RREACH tool in the development of blue prints for scale-up of successful interventions, particularly in low-resource environments.

A process for creating the Aboriginal children's health and well-being measure (ACHWM).

OBJECTIVES: The purpose of this study was to identify concepts of health and well-being important to Aboriginal children and youth. These concepts were necessary for the development of a culturally appropriate measure of health. METHODS: We completed 4 community consultation sessions, 4 advisory committee meetings, and 6 full-day focus groups within the Wikwemikong Unceded Indian Reserve. The focus groups engaged Aboriginal children and youth via relevant cultural teachings, a photography exercise combined with a community bicycling tour, and detailed discussions of health and well-being using photovoice. The process was guided by a conceptual model: the Medicine Wheel. The participants placed their photos on a wall mural and identified their most important concepts. These concepts were synthesized through expert consensus into items and reviewed by the broader community. RESULTS: The participants ranged in age from 8.2 to 17.7 years (mean age=12.3). Through innovative methods, children and youth identified 206 concepts representing the 4 quadrants of the Medicine Wheel: emotional, spiritual, physical and mental. These concepts were refocused, in collaboration with the community, to create a new 60-item measure of health and well-being that was primarily positive in focus. CONCLUSION: This study demonstrates the success of implementing a unique process of photovoice in combination with bicycling and informed by an Aboriginal framework. The results confirm the distinct conceptualization of health and well-being in this population and underscore the necessity for a culturally appropriate measure. This study also produced a first draft of the Aboriginal Children's Health and Well-being Measure (ACHWM).