Evidano is an AI-powered qualitative data analysis platform that helps researchers analyze interviews, open-ended surveys, and documents. The primary keyword for this post is "qualitative analysis of patient suicide": this article translates a PLOS ONE study into reproducible qualitative workflows for researchers and research managers. The post shows how to extract themes, frequency counts, timelines, and subgroup differences from free-text survey responses so teams can design targeted postvention interventions.
Key Takeaways
According to PLOS ONE (Abd Latif et al., 2026), a cross-sectional survey of 120 Malaysian psychiatrists found high emotional impact after patient suicide and clear gaps in postvention support.
- 120 psychiatrists responded to the survey collected between December 1, 2023 and April 30, 2024, as reported in PLOS ONE (Abd Latif et al., 2026).
- 79% (n = 95) of respondents had experienced at least one patient suicide and 53.7% reported the most impactful event occurred within the first five years of practice, according to PLOS ONE (Abd Latif et al., 2026) published August 13, 2026.
- 56.8% reported a detrimental effect on clinical confidence and 95.7% did not take time off work after the event, findings summarized in PLOS ONE (Abd Latif et al., 2026).
- Only 16.8% accessed external support and 53.7% were unfamiliar with formal procedures after a suicide, indicating organisational gaps reported by Abd Latif et al. in PLOS ONE (2026).
What happened and how the study measured it
According to PLOS ONE (Abd Latif et al., 2026), researchers ran a cross-sectional online survey of psychiatrists working in government, university, and private settings across Malaysia between December 1, 2023 and April 30, 2024.
According to PLOS ONE (Abd Latif et al., 2026), 120 psychiatrists completed a questionnaire that combined closed Likert-scale items (emotional impact, perceived responsibility, confidence, pressure) and free-text responses analysed by inductive thematic coding.
According to PLOS ONE (Abd Latif et al., 2026), the analysis used descriptive statistics in SPSS for quantitative items and dual independent coding plus consensus to develop qualitative themes from 95 free-text responders.
Findings snapshot
| Date / Period | Metric | Value | Implication |
|---|---|---|---|
| Dec 1, 2023–Apr 30, 2024 | Survey window | 120 participants | Cross-sectional national sample (convenience/snowball) reported by PLOS ONE (Abd Latif et al., 2026) |
| Aug 13, 2026 | Published | PLOS ONE article | Peer-reviewed dissemination of results |
| At time of event | Experienced at least one patient suicide | 79% (n = 95) | Patient suicide is commonly experienced by psychiatrists in the sample |
| Post-event workplace behaviour | Did not take time off | 95.7% | High presenteeism despite emotional impact |
| Clinical confidence | Reported detrimental effect | 56.8% | Potential for impaired decision-making and defensive practice |
Implications for qualitative researchers and UX/health teams
According to PLOS ONE (Abd Latif et al., 2026), psychiatrists report strong emotional responses (median emotional impact 7/10) and organisational gaps, which means qualitative researchers should prioritise rich free-text capture and subgroup comparisons when studying clinician postvention needs.
According to PLOS ONE (Abd Latif et al., 2026), 53.7% of respondents were unfamiliar with post-suicide procedures, so researchers should code for 'procedural knowledge' and 'organisational trust' as discrete themes and measure prevalence by career stage and gender.
According to PLOS ONE (Abd Latif et al., 2026), female psychiatrists reported higher immediate perceived responsibility (p = 0.01), which implies that qualitative sampling and cross-segment analysis must include gender and years-in-practice to detect equity-relevant patterns.
Practical takeaway for teams: design surveys and interviews that combine Likert items for prevalence with open prompts for narrative detail, then use reproducible thematic pipelines that report code frequencies, co-occurrence, and cross-tabulated excerpts.
How Evidano helps
Problem: scattered free-text responses slow synthesis
Solution: Evidano is an AI-powered qualitative data analysis platform that helps researchers analyze interviews, open-ended surveys, and documents.
Feature mapping: upload transcripts and survey exports, run inductive thematic clustering, and get frequency and co-occurrence metrics that link themes to participant metadata (e.g., gender, years in practice).
Contextual link: learn about structured extraction and tagging in the Evidano features documentation.
Problem: privacy and PII in clinician narratives
Solution: use Evidano's PII redaction and encrypted storage to keep sensitive clinician data safe while enabling team analysis.
Feature mapping: Evidano supports PII redaction at import and role-based access so qualitative teams can share coded outputs without exposing identities.
Problem: need rapid evidence to inform postvention policy
Solution: Evidano accelerates synthesis by producing extractable outputs (theme frequencies, illustrative quotes, and segment comparisons) so teams can produce actionable recommendations within weeks instead of months.
Feature mapping: exportable tables, visual co-occurrence networks, and an AI chat over your project let stakeholders query the dataset with natural-language prompts.
FAQ: qualitative analysis of patient suicide
What did the PLOS ONE study find about psychiatrists' experiences after patient suicide?
Direct answer: The PLOS ONE study found high emotional impact, frequent presenteeism, and gaps in formal postvention support among Malaysian psychiatrists.
Supporting detail: According to PLOS ONE (Abd Latif et al., 2026), 79% of 120 psychiatrists had experienced at least one patient suicide, 95.7% did not take time off, and only 16.8% accessed external support.
Which qualitative methods did the study use to analyse free-text responses?
Direct answer: The study used an inductive thematic grouping approach with two independent coders and consensus, as reported in PLOS ONE (Abd Latif et al., 2026).
Supporting detail: According to PLOS ONE (Abd Latif et al., 2026), two authors independently reviewed free-text responses to develop preliminary codes which were refined through discussion into final themes.
How can AI-enabled qualitative analysis preserve nuance while scaling?
Direct answer: AI-enabled pipelines can surface candidate themes and representative excerpts, while human coders validate and refine themes to preserve nuance.
Supporting detail: Teams should run AI-assisted clustering to prioritise high-frequency topics, then apply manual validation, extract illustrative quotes, and compute cross-segment frequencies for transparent reporting.
Can tools like Evidano handle sensitive clinician data securely?
Direct answer: Evidano offers encrypted storage and PII redaction to help meet confidentiality needs for sensitive qualitative datasets.
Supporting detail: Deploy role-based access and redact identifiers at import, then share aggregated theme counts and de-identified quotes with stakeholders.
Conclusion & Next Steps
According to PLOS ONE (Abd Latif et al., 2026), patient suicide commonly affects psychiatrists' emotional wellbeing and clinical confidence, while many clinicians lack structured postvention support.
Researchers and clinical leaders can use reproducible qualitative pipelines to quantify needs, prioritise structured postvention, and measure change over time.
If you need to synthesize survey free-text and interview transcripts quickly and securely, Try Evidano for free or explore our features to see how AI-enabled thematic analysis, PII redaction, and cross-segment reports map to your research.
Quotation from the study: "Patient suicide is one of the most distressing clinical events a psychiatrist can encounter, " (Abd Latif et al., PLOS ONE, 2026).
Quotation from the study: "supportive leadership, peer support, and clear organisational processes were perceived as beneficial, " (Abd Latif et al., PLOS ONE, 2026).
Topics
- qualitative analysis of patient suicide
- impact of patient suicide on psychiatrists
- AI-enabled qualitative research
- patient suicide postvention
Keep reading
- Commentary on NewsSupport after Patient Suicide: Impact on PsychiatristsEvidence-based qualitative findings on the impact of patient suicide on psychiatrists in Malaysia, with actionable postvention steps and AI-enabled research methods. Read how to respond.
- Commentary on NewsStudy Findings: Impact of Patient Suicide on PsychiatristsWhat a Malaysian survey reveals about the impact of patient suicide on psychiatrists, support gaps, and how AI-enabled qualitative analysis speeds postvention insights.
- Commentary on NewsAI-enabled qualitative research for realist reviewsHow AI-enabled qualitative research accelerates realist reviews of youth-led interventions against fossil-fuel harms. Practical methods, numbers from PLOS ONE, and next steps.