Four Trust Breakdowns: AI Qualitative Analysis of Patient Complaints

According to the November 12, 2026 PLoS One meta-synthesis, patient complaints in dentistry are best understood as qualitative signals of breakdowns in access, communication, clinical care, and professional conduct, rather than as isolated dissatisfaction events. The study analyzed 19 qualitative studies and interpreted complaints as evidence about trust, patient agency, relational security, and professional obligations.

• The November 12, 2026 PLoS One study screened 857 studies and included 19 studies in its qualitative synthesis.
• The PLoS One researchers identified four interrelated complaint domains: impeded access to dental care; unsatisfactory communication, interactions, and attitudes; deficient clinical treatment; and unethical and unprofessional conduct.
• The November 12, 2026 meta-summary found deficient clinical treatment in all 19 included studies, or 100%, and unethical and unprofessional conduct in 17 studies, or 89%.
• The authors wrote that patient complaints may be understood as signals of “breakdowns in the fiduciary patient-practitioner relationship.”
• AI qualitative analysis can accelerate coding, thematic comparison, and cross-segment review, but healthcare researchers should retain human oversight for interpretation, ethics, and clinical context.

The November 12, 2026 PLoS One study found that dental complaints combine clinical, relational, organizational, and ethical concerns. Lorraine Snyman, Thomas Corne Postma, and Werdie Van Staden searched MEDLINE, PsycINFO, PubMed, Scopus, Web of Science, and CINAHL, then used reflexive thematic analysis to synthesize findings from eligible studies.

The researchers began with 857 studies, retrieved 29 articles for full-text review, and included 19 studies. The included evidence covered online reviews, regulatory complaints, litigation claims, malpractice-related complaints, and other formally documented patient experiences across multiple countries and dental settings.

One patient quoted in the PLoS One study described the access problem this way: “...give you a number to call…and you never get through… I tried to make an appointment, phone kept ringing out.” The quotation shows why qualitative analysis adds meaning that complaint counts alone cannot provide.

The four domains were analytically related. The November 12, 2026 study interpreted access problems as possible signs that patients’ time and needs were not valued, communication failures as threats to agency and respect, clinical deficiencies as threats to confidence in competence, and unethical conduct as damage to integrity and trustworthiness.

Healthcare researchers should treat patient complaints as qualitative evidence about how care systems function, not only as administrative events. The November 12, 2026 PLoS One authors concluded that complaints can inform quality improvement, organizational learning, professional education, and capability development.

The study also shows why frequency analysis alone is insufficient. Eleven of the 19 included studies reported complaints about the cost of dental treatment, according to the November 12, 2026 PLoS One results, but the meaning of cost concerns extended into access, fairness, expectations, and trust.

Researchers can use AI qualitative analysis to connect surface-level complaint topics with deeper interpretive themes. For example, appointment delays can be coded first as scheduling problems and then compared with related references to responsiveness, respect, continuity of care, or perceived disregard.

A patient quoted in the November 12, 2026 study summarized the communication problem directly: “I have to ask a lot to get to know what I have to do.” Complaint datasets that preserve such language can help teams assess whether informed consent, plain-language explanations, cost transparency, and empathy are working in practice.

The evidence is not a diagnostic tool and does not establish population-level complaint rates. The November 12, 2026 PLoS One authors noted that their synthesis was based on a bounded higher-order case and that transferability varies by setting, language, healthcare system, and complaint source.

The November 12, 2026 PLoS One meta-synthesis shows that qualitative analysis of patient complaints can reveal four connected dimensions of dental care: access, communication, clinical treatment, and professional conduct. The study’s 19 included articles demonstrate how patient narratives can expose threats to trust and patient agency that complaint counts alone may miss. AI-enabled qualitative research can help healthcare teams process diverse complaint documents, compare themes across segments, and locate evidence for quality-improvement decisions while keeping human interpretation in the loop. Researchers ready to analyze patient feedback more efficiently can Try Evidano for free.