Development of a mobile monitoring program for anxiety and depression in pregnancy and evaluation of 3-month results

BACKGROUND

The aims of this study were to develop a mobile mental health application (app) to scan the symptoms of anxiety, depression, and related factors during pregnancy; examine the effect of the app on pregnant women; and determine the factors related to using such an app.

METHODS

A software platform called Perinatal Anxiety Depression Monitoring Platform (PADIP) was developed. This study included 320 pregnant women: 160 in the PADIP group and 160 in the control group. The PADIP group was screened monthly for 3 months for depression, anxiety, and sleep quality, and instant feedback was provided on scale scores.

RESULTS

During the follow-up period, there was a significant decrease in depression and anxiety scale scores in the PADIP group but no significant difference in scale scores in the control group. The interface used for the app was important for scale scores. It was preferred by pregnant women with a high education level, higher Perinatal Anxiety Screening Scale scores, and lower sleep quality scores.

CONCLUSIONS

PADIP use was associated with a decrease in depression and anxiety scores of pregnant women. It was more useful for patients with higher education levels and a history of a psychiatric disorder, but further research is needed to develop a more comprehensive model.

Development, validity and reliability study of a compliance scale for the COVID-19 outbreak prevention recommendations

Background/aim

During the intense periods of the COVID-19 pandemic, legal measures were taken for its containment. However, since legal precautions cannot be implemented continuously, hand washing, mask usage and obeying social distance rules are important in combating the pandemic. Complying with these rules is mostly individual decisions. The behavior of individuals has a prominent place in the course of the pandemic. In this study, we aimed to develop a scale which could measure compliance with outbreak measures.

Materials and methods

This study was conducted in two stages after evaluation of the content validity of the item pool formed by the research group by experts. For construct validity, the scale subdimensions were determined in 250 people between the ages of 18-70 years at the first stage and the definitive version of the 20-item scale was constructed. In the second stage, exploratory factor analysis was repeated in a group of 484 people, and confirmatory factor analysis was performed. Cronbach’s alpha coefficients, Spearman-Brown coefficients, test-retest methods were used to determine reliability.

Results

The variance explanation of the scale consisting of 20 items and two subdimensions in the explanatory factor analysis is 63.434% (n = 484). Confirmatory factor analysis resulted in CMIN/DF = 3.540, RMR = 0.043, NFI Delta 1 = 0.928, TLI rho 2 = 0.939, CFI = 0.947, RMSEA = 0.072, SRMR = 0.0368. Cronbach’s alpha value of the scale is 0.95; and the Spearman Brown coefficient equal length analysis resulted in 0.928. The temporal consistency of the scale was evaluated with the test-retest method (P = 0.893). The structure, content validity, temporal consistency, item discrimination, and internal consistency were evaluated and found to have acceptable valid, reliable properties.

Conclusion

The outbreak prevention recommendation compliance scale is a valid and reliable tool with which compliance with the prevention plans can be evaluated.