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1.
Aust N Z J Public Health ; 46(5): 647-653, 2022 Oct.
Article in English | MEDLINE | ID: mdl-35357742

ABSTRACT

OBJECTIVE: To understand the impact of family separation on refugees living in Australia. METHOD: Thirteen participants with a refugee background and experiencing separation from family participated in a semi-structured qualitative interview. Interviews were coded and a thematic analysis was conducted using NVivo software. RESULTS: Identified themes were organised under four domains. Domain 1 focused on the personal impact of family separation. Themes were the effects on mental health and functioning, driven by incessant worrying about the safety of family and the absence of key attachment figures, the specific effects of having missing family, alterations to self-identity and family dynamics. Domain 2 focused on themes relating to actions taken to find missing family, connect or reunite with separated family. Domain 3 highlighted the coping strategies, support mechanisms and protective factors used by participants. Domain 4 identified core beliefs about the importance of family unity, focusing on security, settlement and a happy future. CONCLUSIONS: Family separation has an enduring effect on the wellbeing of refugees, with key pathways being ongoing fear and insecurity, disrupted social attachments and identity shifts in relation to the future self. IMPLICATIONS FOR PUBLIC HEALTH: Refugees separated from or missing family struggle with ongoing stress and adjustment issues.


Subject(s)
Refugees , Adaptation, Psychological , Australia , Humans , Mental Health , Qualitative Research , Refugees/psychology
2.
Int J Equity Health ; 18(1): 200, 2019 12 23.
Article in English | MEDLINE | ID: mdl-31870364

ABSTRACT

BACKGROUND: Poverty is associated with increased morbidity related to multiple child and adult health conditions and increased risk of premature death. Despite robust evidence linking income and health, and some recommendations for universal screening, poverty screening is not routinely conducted in clinical care. METHODS: We conducted an exploratory study of implementing universal poverty screening and intervention in family medicine and a range of pediatric care settings (primary through tertiary). After attending a training session, health care providers (HCPs) were instructed to perform universal screening using a clinical poverty tool with the question "Do you ever have difficulty making ends meet at the end of the month?" for the three-month implementation period. HCPs tracked the number of patients screened and a convenience sample of their patients were surveyed regarding the acceptability of being screened for poverty in a healthcare setting. HCPs participated in semi-structured focus groups to explore barriers to and facilitators of universal implementation of the tool. RESULTS: Twenty-two HCPs (10 pediatricians, 9 family physicians, 3 nurse practitioners) participated and 150 patients completed surveys. Eighteen HCPs participated in focus groups. Despite the self-described motivation of the HCPs, screening rates were low (9% according to self-reported numbers). The majority of patients either supported (72%) or were neutral (22%) about the appropriateness of HCPs screening for and intervening on poverty. HCPs viewed poverty as relevant to clinical care but identified time constraints, physician discomfort, lack of expertise and habitual factors as barriers to implementation of universal screening. CONCLUSIONS: Poverty screening is important and acceptable to clinicians and patients. However, multiple barriers need to be addressed to allow for successful implementation of poverty screening and intervention in health care settings.


Subject(s)
Family Practice/statistics & numerical data , Mass Screening/organization & administration , Pediatrics/statistics & numerical data , Poverty , Adult , Canada , Child , Humans , Social Determinants of Health
3.
Otolaryngol Head Neck Surg ; 159(5): 843-852, 2018 11.
Article in English | MEDLINE | ID: mdl-29865939

ABSTRACT

OBJECTIVES: (1) Determine 1-year period prevalence of suicidal ideation, suicide attempt, and completed suicide among patients newly diagnosed with a first occurrence of head and neck cancer (HNC). (2) Characterize stability and trajectory of suicidal ideation over the year following cancer diagnosis. (3) Identify patients at risk of suicidal ideation. STUDY DESIGN: Prospective longitudinal study with 1-year follow-up. SETTING: Three university-affiliated outpatient departments of otolaryngology-head and neck surgery. SUBJECTS AND METHODS: The study comprised a representative sample of 223 consecutive patients who were newly diagnosed (<2 weeks) with a first occurrence of primary HNC, were ≥18 years old and able to consent, and had a Karnofsky Performance Scale score ≥60. Patients completed the Beck Scale for Suicidal Ideation and Structured Clinical Interview for DSM-IV-TR Axis I Disorders. RESULTS: Sixteen percent (15.7%) of patients with HNC were suicidal <1 year from diagnosis, with point prevalences of 8.1% <2 weeks, 14.8% at 3 months, 9.4% at 6 months, and 10.4% at 12 months; 0.4% committed suicide within 3 months, and 0.9% attempted suicide. An a priori comprehensive conceptual model revealed 2 predictors of 1-year period prevalence of suicidal ideation in HNC: psychiatric history ( P = .017, ß = 2.1, 95% CI = 0.4-3.8) and coping with the diagnosis by using substances (alcohol/drugs; P = .008, ß = 0.61, 95% CI = 0.16-1.06). All other predictors, including medical predictors, were nonsignificant. A clinical suicide risk assessment revealed low risk among 71.4% and medium to high risk among 28.6%. CONCLUSION: Suicide prevention strategies are clearly needed as part of routine clinical care in head and neck oncology, as well as their integration into clinical practice guidelines for HNC.


Subject(s)
Head and Neck Neoplasms/psychology , Head and Neck Neoplasms/surgery , Suicidal Ideation , Suicide, Attempted/statistics & numerical data , Adult , Age Distribution , Aged , Female , Follow-Up Studies , Head and Neck Neoplasms/diagnosis , Head and Neck Neoplasms/mortality , Humans , Logistic Models , Longitudinal Studies , Male , Middle Aged , Prevalence , Retrospective Studies , Risk Assessment , Sex Distribution , Stress, Psychological , Survival Rate , Time Factors
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