Pain Management and Sociology Implications: The Sociomedical Problem of Pain Clinic Staff Harassment Caused by Chronic Pain Patients
Bibliographic record
Abstract
Background: Patients with chronic pain often experience psychological issues. They may also exhibit harassing behaviors toward healthcare staff. This complex sociomedical issue necessitates increased attention. Objectives: This study analyzed incidents of staff harassment caused by chronic pain patients. It examined the characteristics of chronic pain patients who harassed clinic staff, as well as the causative or associated factors. The study also explored the management and outcomes of these harassment incidents. Methods: This prospective observational study involved 1102 chronic pain patients who received treatment at a pain clinic. Data were prospectively collected on patients' gender, age, ethnicity, occupation, injury insurance claims, and incidents of staff harassment caused by patients. Results: Pain clinic staff were harassed by 121 patients (11%). Among the harassers, females constituted 70.2% and males 29.8%. Additionally, 50.4% of the harassers were unemployed, with unemployed patients causing more staff harassments (P = 0.001). A significant portion, 86 %, of the harassers had injury insurance claims and were associated with a higher incidence of staff harassments (P = 0.002). Patients making disability insurance claims also caused more staff harassments (P = 0.001). Among the harassers, 50.4 % demanded higher drug doses, and 50% did not have regular primary healthcare providers. The types of harassment included insults (34.7%), threats (19.8%), retaliations (3.3%), and sexual harassment (42.2%). All cases of sexual harassment were addressed; the patients involved were counseled. Most harassment incidents were resolved through tactful communication. Of the harassers, 9.9 % were discharged from the clinic. Conclusions: Harassment of pain clinic staff by chronic pain patients is significant. This sociomedical issue may be worsening due to factors such as opioid misuse, racism, the pandemic, and socioeconomic challenges. While most chronic pain patients are reasonable, some can be challenging. This study confirmed that the majority of patients who harassed staff were female, unemployed, had made injury insurance claims, and demanded higher drug doses. Abusive patients should receive anxiolytic therapy, behavioral boundaries, counseling, distraction therapy, and empathy. Pain clinics should implement staff training and support programs to protect staff from harassment. Additionally, pain clinicians should establish peer support networks to mitigate the psychological impacts of patient aggression and maintain professional well-being.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.035 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".