Global mental health experiences of single mothers: A mixed methods research synthesis
Bibliographic record
Abstract
AIM: The aim of this research is to synthesize findings from primary studies (quantitative and qualitative) that investigated the global mental health experiences of single mothers to provide a deeper understanding to better care and respond to the support needs of single mothers. DESIGN: Hayvaert et al.'s mixed methods research synthesis approach. DATA SOURCES: The search process in the following databases, CINAHL, PsycINFO, and Scopus resulted in eight high-quality studies (5 qualitative and 3 quantitative) published between June 2016 and July 2021. REVIEW METHODS: Descriptive statistics and instrument scores were provided in summary form. Themes were analysed using Krippendorff's content analysis. A joint display was provided to reveal a complementary relationship between two different data sets. RESULTS: A total of 348 single mothers participated. Amongst the pooled sample, women identified as: Japanese (n = 174), Israeli (n = 147), Black African (n = 18), African American (n = 9), Native American (n = 5), Burundian-Australian (n = 8), UK British (n = 12), Asian (n = 3), South Korean (n = 7), Indian (n = 2), Malaysian (n = 44), Hispanic/Latina (n = 1) and Eastern European (n = 3). Four themes were identified: (1) Learning to let go of the past, (2) It takes a whole village: Importance of social support, (3) Seeking a self-reliant life: Challenges with balancing career & childcare and (4) Finding strength within: Personal growth. Only one intervention utilizing creative group counselling was found to significantly decrease depression (p = .008), anxiety (p = .005), and stress (p = .012) whilst increasing self-compassion (p = .013). CONCLUSION: It is important for clinicians who care for single mothers, particularly if they recently immigrated, are multiparous, and an ethnic minority to encourage engagement in peer-initiated counselling and obtain mental health care as necessary. IMPACT: This study identified and addressed the mental health issues that single mothers face worldwide. This is also the first mixed methods research synthesis to report single mothers' ethnicity in nursing and midwifery literature. Thus, findings from this mixed methods research synthesis can help nurses worldwide build culturally-concordant programs in their respective community organizations and partners (e.g. community health centres, mother-child enrichment clubs), inform health policies, and promote safer spaces for many single mothers, particularly for those who will immigrate to the Global North (i.e. UK, US, Canada) and become an ethnic minority.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.057 | 0.091 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.014 | 0.014 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".