METHODS: This web-based, cross-sectional study was conducted among HCWs (N = 398) from Punjab Province of Pakistan. The generalized anxiety scale (GAD-7), patient health questionnaire (PHQ-9), and Brief-COPE were used to assess anxiety, depression, and coping strategies, respectively.
RESULTS: The average age of respondents was 28.67 years (SD = 4.15), with the majority being medical doctors (52%). Prevalences of anxiety and depression were 21.4% and 21.9%, respectively. There was no significant difference in anxiety and depression scores among doctors, nurses, and pharmacists. Females had significantly higher anxiety (P = 0.003) and depression (P = 0.001) scores than males. Moreover, frontline HCWs had significantly higher depression scores (P = 0.010) than others. The depression, not anxiety, score was significantly higher among those who did not receive the infection prevention training (P = 0.004). The most frequently adopted coping strategies were religious coping (M = 5.98, SD = 1.73), acceptance (M = 5.59, SD = 1.55), and coping planning (M = 4.91, SD = 1.85).
CONCLUSION: A considerable proportion of HCWs are having generalized anxiety and depression during the ongoing COVID-19 pandemic. Our findings call for interventions to mitigate mental health risks in HCWs.
Methods: A cross-sectional study was conducted at the Obstetrics and Gynecology Department of Sandeman Provincial Hospital Quetta city, Pakistan. The respondents were asked to answer the Urdu (lingua franca of Pakistan) version of the Quality of Life Questionnaire for Physiological Pregnancy. Data were coded and analyzed by SPPS v 21. The Kolmogorov-Smirnov test was used to establish normality of the data and non-parametric tests were used accordingly. Quality of Life was assessed as proposed by the developers. The Chi-square test was used to identify significant associations and linear regression was used to identify the predictors of QoL. For all analyses, p < 0.05 was taken significantly.
Results: Four hundred and three pregnant women participated in the study with a response rate of 98%. The mean QoL score was 19.85 ± 4.89 indicating very good QoL in the current cohort. The Chi-Square analysis reported a significant association between age, education, occupation, income, marital status, and trimester. Education was reported as a positive predictor for QoL (p = 0.006, β = 2.157). On the other hand, trimester was reported as a negative predictor of QoL (p = 0.013, β = -1.123).
Conclusion: Improving the QoL among pregnant women requires better identification of their difficulties and guidance. The current study highlighted educational status and trimester as the predictors of QoL in pregnant women. Health care professionals and policymakers should consider the identified factors while designing therapeutic plans and interventions for pregnant women.