The study aimed to explore barriers to mental health service attainment among Bedouin women living in different residential environments in southern Israel. We hypothesized that emotional distress and the utilization of mental health services would be influenced by the living environment and ethnic identity factors. The sample included 376 Arab-Bedouin women, 126 Arab-Bedouin women from the recognized and unrecognized villages, and 250 Arab-Bedouin women from the central localities. Quantitative methods were used, including emotional distress (GHQ12), ethnic identity scale (EIS), mental health literacy (MHLS), and barriers to mental health services attainment (BACE). Results indicated that participants from the central localities demonstrated a greater inclination to seek and utilize mental health services. Furthermore, higher rates of affirmation of ethnic identity were also found to be a predictive factor for the willingness to attain mental health services. These findings further support the role of residential environment and ethnic identity in shaping mental health service utilization patterns. Current research explored barriers to mental health services seek and attainment for Arab-Bedouin women in different residential environments in southern Israel. Ethnic identity factors and barriers such as stigma and access to resources predicted the tendency to seek help. Findings emphasize the need to address barriers to seeking help and the role of ethnic identity in mental health service attainment for Arab-Bedouin women.

Download full-text PDF

Source
http://dx.doi.org/10.1007/s00737-023-01349-6DOI Listing

Publication Analysis

Top Keywords

mental health
40
arab-bedouin women
24
ethnic identity
20
health services
20
barriers mental
16
health service
12
mental
10
health
10
service attainment
8
residential environments
8

Similar Publications

External delay and dispersion correction of automatically sampled arterial blood with dual flow rates.

Biomed Phys Eng Express

January 2025

Brain Health Imaging Centre, Centre for Addiction and Mental Health, B68-250 College St, Toronto, Ontario, M5T 1R8, CANADA.

Objective: Arterial sampling for PET imaging often involves continuously measuring the radiotracer activity concentration in blood using an automatic blood sampling system (ABSS). We proposed and validated an external delay and dispersion correction procedure needed when a change in flow rate occurs during data acquisition. We also measured the external dispersion constant of [11C]CURB, [18F]FDG, [18F]FEPPA, and [18F]SynVesT-1.

View Article and Find Full Text PDF

Mapping the regional and remote specialised mental health workforce: Commentary on the AIHW data for 2022-2023.

Australas Psychiatry

January 2025

Consortium of Australian-Academic Psychiatrists for Independent Policy and Research Analysis (CAPIPRA), Canberra, ACT, Australia.

Objective: The Australian Institute of Health and Welfare publishes statistical indicator reports on the specialised mental health workforce. These include data for 2022-2023 on psychiatrists, mental health nurses, mental health occupational therapists, psychologists and mental health social workers. We provide a brief commentary on these reports, reflecting upon the implications of such changes for psychiatric practice and patient care.

View Article and Find Full Text PDF

Background: Results on parental burden during the COVID-19 pandemic are predominantly available from nonrepresentative samples. Although sample selection can significantly influence results, the effects of sampling strategies have been largely underexplored.

Objective: This study aimed to investigate how sampling strategy may impact study results.

View Article and Find Full Text PDF

Background: There is potential for digital mental health interventions to provide affordable, efficient, and scalable support to individuals. Digital interventions, including cognitive behavioral therapy, stress management, and mindfulness programs, have shown promise when applied in workplace settings.

Objective: The aim of this study is to conduct an umbrella review of systematic reviews in order to critically evaluate, synthesize, and summarize evidence of various digital mental health interventions available within a workplace setting.

View Article and Find Full Text PDF

Background: Recent advancements in artificial intelligence (AI) have changed the care processes in mental health, particularly in decision-making support for health care professionals and individuals with mental health problems. AI systems provide support in several domains of mental health, including early detection, diagnostics, treatment, and self-care. The use of AI systems in care flows faces several challenges in relation to decision-making support, stemming from technology, end-user, and organizational perspectives with the AI disruption of care processes.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!