A systematic review of interpersonal psychotherapy for postpartum depression.

BACKGROUND: The current study endeavored to systematically integrate and quantitatively evaluate the effectiveness of interpersonal psychological interventions for postpartum depression patients. METHODS: Four electronic databases Pubmed, Embase, Cochrane and Web of Science were employed for literature retrieval, and the search time was from the inception of the database to May 30, 2022. Literature screening and data extraction were performed independently by two researchers. RESULTS: A total of 528 studies were screened, and 9 of them were finally included. There were 1012 subjects, 518 of them were assigned in experimental group and 494 in control. Evidence from interpersonal psychological interventions indicated that the data on postpartum depression, satisfaction with family, and social support in both groups after intervention included: depression score [MD = -2.80, 95%CI (-3.86 to -1.74), P < 0.05], satisfaction score [MD = 8.41, 95%CI (1.49 to -15.33), P < 0.05], and social support score [MD = 1.83, 95%CI (-2.10 to -5.76)] of postpartum depression patients. P values < 0.05 indicated substantial improvement as compared to control. LIMITATIONS: During the research process, it is impossible for the experimental group and the researchers to use double-blind trials simultaneously, which may present a Hawthorne effect, but this can be avoided by general psychological intervention for the control. CONCLUSIONS: Interpersonal psychotherapy could improve depression in patients with postpartum depression, but the appropriate intervention time was between 4 and 8 weeks, and it also improved satisfaction with family of patients, and the longer the intervention, the higher the satisfaction with the family.

Workplace violence against doctors in China: A case analysis of the Civil Aviation General Hospital incident.

Background: Violence against health professionals is a global public health problem. In 2019, a doctor was killed in Civil Aviation General Hospital (CAGH), which triggered national discussion about hospital violence. Sina Weibo, the Chinese version of Twitter, played an important role in this public discussion. The CAGH incident provides us with an opportunity to explore how social media was used in the discussion on violence against doctors. Methods: Using the built-in search engine of Sina Weibo, a data set containing 542 Chinese micro-blogs was established. Three keywords: Civil Aviation General Hospital, doctor, and knife were used to search for related posts between December 24th, 2019 and January 19th, 2020. We made a content analysis of the posts to investigate: Weibo users' demographics, views about the incident of CAGH, and measures to prevent hospital violence. Results: Overall, 89.3% of the posts were sent by individual Weibo users, and 10.7% by organizations. Among the individual users, doctors accounted for 27.4%, but only 1.0% came from the legal profession. In addition, 86.7% of the micro-blogs expressed sympathy for the attacked doctor, and 23.1% of the micro-blogs thought that the imperfect medical system was the main cause of the accident. Nearly half of the posts described their disappointment with the government and the society, and 58.6% of medical staff users expressed regret for engaging in medical work. Only 14.2% of micro-blogs put forward some constructive strategies to prevent hospital violence. Conclusion: Weibo users played an important role in spreading and discussing the CAGH incident. However, constructive measures to protect doctors were rarely mentioned, and legal opinions were not reflected in time. Hospital violence has caused public dissatisfaction with the government and weakened the professional confidence of medical staff. Occupational health and public health stakeholders must take effective measures to solve workplace violence against doctors.

COVID-19 infection outbreak increases anxiety level of general public in China: involved mechanisms and influencing factors.

BACKGROUND: COVID-19 outbreak happened last December in China and is still continuing. Here, we reported effects of COVID-19 outbreak on the mood of general public and ascertained impacts of psychosocial factors on the plague-related emotional measures. METHODS: During Feb. 4-6, 2020, a self-reported questionnaire Beck Anxiety Inventory (BAI) was disseminated to general public via Wechat, along with a sociodemographic information sheet. BAI score and incidences of moderate and severe anxiety in subgroups of respondents were compared. Multiple linear and logistic regressions were done for correlation analysis and to identify factors predictive of anxiety. RESULTS: Averaged BAI score of all respondents is higher than those of general public in two previous studies. The people quarantined for probable COVID-19 infection presented higher BAI score and incidences of moderate and severe anxiety relative to non-quarantined respondents. People in high epidemic area showed higher BAI score and incidences of moderate and severe anxiety compared to those in low epidemic area. Significant associations existed between anxiety level of the respondents and each of the investigated factors, except for gender. Quarantine was the predictor with a highest OR, followed by divorced/widow. The other factors showed smaller but significant effects on the anxiety level of respondents. LIMITATIONS: This cross-sectional study was unable to track the emotional changes in the respondents over time. It had a relatively small sample and involved some of emotional measures only. CONCLUSION: These data are of help in planning psychological interventions for the different subpopulations in general public during and after COVID-19 outbreak.