| Literature DB >> 34271905 |
Elham Ghasemi1, Reza Majdzadeh1,2,3, Fatemeh Rajabi4,5, AbouAli Vedadhir6,7, Reza Negarandeh8, Ensiyeh Jamshidi1, Amirhossein Takian9,10,11, Zahra Faraji12.
Abstract
BACKGROUND: Given the potential of intersectionality to identify the causes of inequalities, there is a growing tendency toward applying it in the field of health. Nevertheless, the extent of the application of intersectionality in designing and implementing health interventions is unclear. Therefore, this study aimed to determine the extent to which previous studies have applied intersectionality and its principles in designing and implementing health interventions.Entities:
Keywords: Health inequality; Health intervention; Health policy; Intersectionality; Scoping review
Mesh:
Year: 2021 PMID: 34271905 PMCID: PMC8283959 DOI: 10.1186/s12889-021-11449-6
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Checklist for application of Intersectionality in health interventions and programs
| Intersectionality Principles | items | yes | No | Unclear | |
|---|---|---|---|---|---|
| 1-Has the combination of different social factors, such as age, gender, race/ethnicity, class, migration, been addressed in identifying the causes of the problem? And is not focused solely on a single variable, apart from others? | |||||
| 2-Have target groups been selected based on considering to differences, variations and similarities between relevant groups? As well, based on that, have target groups been identified as the most vulnerable group? | |||||
| 3-In identification of the most vulnerable groups, have the differences and similarities of the subgroups in terms of social factors, been considered? | |||||
| 4-Have the various factors at the individual, interpersonal, organizational, and governance levels been addressed in the process of problem identification? | |||||
| 5-Have the intersections of social factors across micro, meso and macro level been considered? For example, among immigrants as a marginalized group, how the interactions at the individual level (age, gender, race, class,...) link to social institutions and broader structures and processes of power such as migration policies? | |||||
| 6-Have the most advantaged and the least advantaged groups been identified within representation of problem? | |||||
| 7-Have stakeholders such as affected populations been participated in problem identification? | |||||
| 8-Have the structures of power such as policies and laws been addressed to be responsible to the framing the health problem? | |||||
| 9-Do the planning committee/research team look critically at their values, experiences, beliefs and assumptions, about the health problem? | |||||
| 10-Has the process of problem framing over time (historically) or across different places (geographically) and changes of privileges and disadvantages, including intersecting identities and the processes that determine their value over time and place, been considered? | |||||
| 11-Has the perspective of people who are typically marginalized been used in the process of problem identification? | |||||
| 12-Has the knowledge generated from several recourses including qualitative or quantitative research; empirical or interpretive data; and Indigenous knowledge? | |||||
| 13-Do current interventions/programs focus on health promotion of vulnerable groups? | |||||
| 14-Are existent interventions/programs being considered in terms of being successful in reducing inequality or, conversely, creating inequality? (For example, are there supportive policies or empowerment programs for vulnerable groups?) | |||||
| 15-Has the intervention/program been selected based on identifying problem using intersectional perspective? | |||||
| 16-Is the target group representative of the experiences of diverse groups of people for whom the issue under study is relevant? | |||||
| 17-Have the researchers/health planners considered the transformation across multiple levels (individual and interpersonal, family, Neighborhood, city)? | |||||
| 18-Have various stakeholders, in particular affected population, been engaged in health program design and implementation? | |||||
| 19-Has the intervention/program been framed within the current cultural, political, economic, societal context? And has it reflected the needs of affected populations? | |||||
| 20-Does the intervention/program focus on vulnerable groups? | |||||
| 21-Does the intervention/program lead to a change of power relations? (For example, the participation of target groups in decision making and/or policy making) | |||||
| 22-Is it clear that who are responsible to ensure the implementation of the intervention/program? In other words, are there mechanisms for accountability (organizational commitment, etc.)? | |||||
| 23-Can the intervention/program find a practical position in line with government policy priorities such as budget allocations, ministerial priorities, etc.)? | |||||
| 24-Do the researchers/health planners have reflexive practice? In other word, Do they have critical thinking about their values, experiences, beliefs, assumptions, and current actions and decisions? | |||||
| 25-Is the intervention/program flexible in terms of time and place conditions? | |||||
| 26-Have the target group’s knowledge been used in process of health program design and implementation? | |||||
| 27-Has the intervention/program been selected based on diverse evidence (academic sources, gray literature, policy reports,…)? | |||||
| 28-Has intervention/program been designed and implemented to reduce inequalities? | |||||
| 29-Is there assurance that the intervention/program does not lead to produce further inequities for some populations? | |||||
| 30-Have intersectional factors been measured in the evaluation process? | |||||
| 31-Have the effects of the intervention/program at individual and interpersonal levels, family, neighborhood, and city, been evaluated? | |||||
| 32-Have affected groups been engaged in the evaluation process? | |||||
| 33-Has the intervention/program enhanced the inclusiveness? | |||||
| 34-Do the researchers/planners have reflexivity about the values, experiences, beliefs, assumptions, and current actions and decisions related to measuring the effectiveness? | |||||
| 35-Has stakeholder perspectives, in particular target groups, about whether the intervention or program has been effective or not, been considered? | |||||
| 36-Has the intervention/program been evaluated based on diverse evidence (academic sources, gray literature, policy reports,…)? | |||||
| 37-Is the measure of success in intervention/program determined on the basis of reducing inequalities? | |||||
| 38-Has intervention/program led to a reduction in inequality? |
Fig. 1PRISMA flow diagram for the study selection process
Summary of the studies included in the present scoping review
| Author | Title | Country | Design | Social identities/conditions | Sample size | Sample Characteristics | Intervention/Service | Outcomes | Key findings |
|---|---|---|---|---|---|---|---|---|---|
| David et al. [ | Safety, Trust, and Treatment: Mental Health Service Delivery for Women Who Are Homeless | USA | Non interventional | -Gender (Women) -Homelessness -Substance use or co-morbid substance use and mental illness | Over 300 | Race/ethnicity: white(36.2%), black (53.6%), Hispanic/Latina(12.2%), Native American(1.2%), and other(1.2%). Age: 18–34 (30%) 35–55 (64%), 56 ≤ (6%) | gender-specific and culturally informed services that were provided by peer mentors for example assisting clients with finding transportation, learning bus schedules, or practicing for a driver’s license test; making and attending medical and behavioral health appointments,.. | Psychosocial functioning -days of drug use - depression, anxiety, and hallucinations - the rate of employment, attendance at treatment related appointments | -significant reductions in days of drug use, depression, anxiety, and hallucinations -higher rates of employment, attendance at treatment-related appointments, and job training programs at follow-up - 55% of the program participants were placed in housing - Four principles that guide the effective provision of services to these women include: (1) the use of peer support, (2) provision of flexible resources in alow demand environment, (3) supportive program leadership, and (4) treatment delivered for and by women. |
| Kelly & Pich [ | Community-based PTSD Treatment for Ethnically Diverse Women Who Experienced Intimate Partner Violence: A Feasibility Study | USA | pretest/post-test intervention | -Gender (Women) -Immigrant -Race/ ethnicity -IPV -PTSD | 22 | Age: 36.7 (Range:19–58) Education (years): 10.7 (0–14) Years in USA: 17.9 (7–40) Time with abuser (years): 6.2 (1–17) Separated from abuser (months): 9.3 (2–24) Immigration status Group 1: Spanish-speaking immigrants: Legal resident: 3 Undocumented: 7 Groups 2–3: English proficiency: Spanish-speaking group US citizen: 12 None to minimal: 6 Moderate to fluent: 4 | -The initial intervention consisted of 6–10 sessions of weekly psychotherapy groups, using a synthesis of supportive psychotherapy,including psycho-education and self-care strategies. -The initial intervention was revised for the third group, with the addition of ACT. | -PTSD symptoms -Depression symptoms -HrQOL -Self rated health -Self efficacy -Social support | Compared to the baseline, PTSD symptoms had decreased at 6 months post-intervention ( |
| Montgomery [ | Adapting a Brief Evidence-Based Intervention for Text Message Delivery to Young Adult Black Women | USA | Phase 2: RCT | -Gender (women) -Age (young adult) -Ethnicity (black) | Baseline Surveys Submitted ( Randomized to the Intervention Group( | Age: 21.07 ± 1.73 (Range: 18–24) Ethnicity: Black Gender: Female Education: Some college, but no bachelor degree (59.1%) Employment: Employed, working 1–39 h per week (65.9%) | sending 24 text message (Intervention Group: regarding sexual health; Control group: regarding diet and exercise) | -Primary outcome: Condom use -Secondary Outcomes: • condom use self-efficacy • condom use intentions • sexual relationship power | -Between baseline and follow-up, condom use frequency increased among participants in both study groups. However, there was no significant time by group interaction. Furthermore, while condom use self-efficacy and intention significantly increased among participants in both groups, no time by group interaction was found. Intention was identified as a main predictor of condom use at baseline and follow-up. |
| Kisler [ | Minority Stress and HIV Risk Behavior among HIV-Positive Bisexual Black Men with Histories of Childhood Sexual Abuse | USA | RCT | -Gender(Men) -Disease (HIV-positive) -Ethnicity (Black) -Sexual Orientation (Men sex with men and women) | Baseline ( The ES-HIM intervention condition / the HP control condition sample included 88 (44 per condition) | Age: 45.77 ± 8.81 (Range:24–67) Ethnicity: Black Gender: male Education: High school diploma (35.9%) Employment: Unable to work or disabled (55.2%) Monthly Income: $833–$1042 (38.9%) Marital Status: Never married (75%) | Providing group discussions (intervention condition: topics related to reducing HIV risk behavior and symptoms of depression and posttraumatic stress; Control condition: topics related to general health and medication adherence) | - HIV risk behavior (Main outcome) -Perceived Internalized racism -Perceived internalized homophobia | -Internalized racism did not decrease over the four time points for either the group as a whole, or by intervention condition. -Internalized homophobia, significantly diminished over the four time points for the group as a whole, but no differences between the ES-HIM intervention and Health Promotion control condition were found. -Finally, frequency of HIV risk behavior (i.e., intercourse without a condom) also decreased from baseline to post-intervention assessment for the group as a whole, but no intervention effects were found. |
Abbreviations: PTSD Post Traumatic Stress Disorder, IPV Intimate Partner Violence, ACT Acceptance and Commitment Therapy, HrQoL Health-related Quality of Life, RCT Randomized Controlled Trial, ES-HIM the Enhanced Sexual Health Intervention for Men, HP the Health Promotion
Intersecting categories in included articles (n = 4)
| Categories | IPV and PTSD | Substance use | Histories of Childhood Sexual Abuse | HIV | Sexual orientation | Homeless-ness | Age | Migration | Race/ethnicity | Gender |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 3 | X | |
| 1 | 0 | 1 | 1 | 1 | 0 | 1 | 1 | X | ||
| 1 | 0 | 0 | 0 | 0 | 0 | 0 | X | |||
| 0 | 0 | 0 | 0 | 0 | 0 | X | ||||
| 0 | 1 | 0 | 0 | 0 | X | |||||
| 0 | 0 | 1 | 1 | X | ||||||
| 0 | 0 | 1 | X | |||||||
| 0 | 0 | X | ||||||||
| 0 | X | |||||||||
| X |
Synthesis of application of intersectionality in included studies
| Possible response to each question | Intersecting Categories | Multilevel Analysis | Power | Reflexivity | Time & Space | Diverse Knowledge | Social Justice & Equity | |
|---|---|---|---|---|---|---|---|---|
| Yes | 11 (91.66%) | 6 (75%) | 8 (66.66%) | 0 | 1 (25%) | 5 (62.5%) | 3 (37.5%) | |
| No | 1 (8.33%) | 2 (25%) | 4 (33.33%) | 0 | 3 (75%) | 3 (37.5%) | 3 (37.5%) | |
| Unclear | 0 | 0 | 0 | 4 (100%) | 0 | 0 | 2 (25%) | |
| Number of questions a | 12 | 8 | 12 | 4 | 4 | 8 | 8 | |
| Yes | 8 (100%) | 1 (25%) | 19 (79.16%) | 1 (25%) | 3 (75%) | 4 (50%) | 4 (50%) | |
| No | 0 | 3 (75%) | 1 (4.16%) | 0 | 0 | 0 | 0 | |
| Unclear | 0 | 0 | 4 (16.66%) | 3 (75%) | 1 (25%) | 4 (50%) | 4 (50%) | |
| Number of questions a | 8 | 4 | 24 | 4 | 4 | 8 | 8 | |
| Yes | 0 | 1 (25%) | 5 (62.5%) | 0 | Not relevant b | 4 (50%) | 0 | |
| No | 4 (100%) | 3 (75%) | 3 (37.5%) | 0 | Not relevant b | 4 (50%) | 4 (50%) | |
| Unclear | 0 | 0 | 0 | 4 (100%) | Not relevant b | 0 | 4 (50%) | |
| Number of questions a | 4 | 4 | 8 | 4 | 0 | 8 | 8 | |
| Yes | 19 (79.16%) | 8 (50%) | 32 (72.72%) | 1 (8.33%) | 4 (50%) | 13 (54.16%) | 7 (29.16%) | |
| No | 5 (20.83%) | 8 (50%) | 8 (18.18%) | 0 | 3 (37.5%) | 7 (29.16%) | 7 (29.16%) | |
| Unclear | 0 | 0 | 4 (9.09%) | 11 (91.66%) | 1 (12.5%) | 4 (16.66%) | 10 (41.66%) | |
| Number of questions a | 24 | 16 | 44 | 12 | 8 | 24 | 24 |
The numbers in each cell are the sum and percentage of “yes”, “no” or “unclear” responses to questions on each stage of “problem identification”, “design & implementation”, and “evaluation”
aTotal number of questions of each principle for all included studies. For example, the number of questions of “Intersecting Categories” principle in stage of “problem identification” (n = 3), totally is 12 for four included studies
bThe checklist had no any question for the principle of “time and place” in the stage of “evaluation”