Claim Missing Document
Check
Articles

Found 2 Documents
Search

Meta-Analysis Study: Selection of Long-Acting Contraceptive Methods Dita Apriliana Sari; Meitria Syahadatina Noor; Eko Suhartono; Syamsul Arifin; Silvia Kristanti Tri Febriana
Journal of Management Practices, Humanities and Social Sciences Vol. 8 No. 5: JMPHSS
Publisher : Journal of Management Practices, Humanities and Social Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33152/jmphss-8.5.2

Abstract

Births are controlled by the Family Planning Program. Most women of childbearing age are at a loss to choose contraception. Many women not using contraception because of the lack of information about contraception that is right for them. This causes uncontrolled births and increases maternal morbidity and mortality. Based on preliminary studies in several journals, there are inconsistencies or differences in research results on the variables of between knowledge and age with the selection of long-acting reversible contraceptives. Analyzing the greater relationship between knowledge and age with the selection of long-acting reversible contraceptives.: Meta analysis by searching the Google Scholar and NCBI. After going through the identification and selection stage, 20 articles were included in the meta-analysis. Pooled Odds Ratio (pOR) is calculated using a fixed-effect model for data analysis according to the heterogeneity test using Review Manager 5.4.1. The pOR value for the knowledge variable is 1,76 (95% CI 1,31-2.37) with a mean effect size value of 0,4888 and for the age variable 1,15 (95% CI 0,088- 1,51) with a mean value effect size of 0,4056. The knowledge variable has a greater than a age variable.
Do role overload and negative emotions lead healthcare workers to cyberloafing? Wulandari, Aprilia; Silvia Kristanti Tri Febriana; Shadiqi, Muhammad Abdan
Humanitas: Indonesian Psychological Journal Volume 22 (1) 2025
Publisher : HUMANITAS published by Universitas Ahmad Dahlan.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/humanitas.v22i1.898

Abstract

Cyberloafing is a serious problem in the workplace, including in the health sector. Role overload is a significant stressor that contributes to its onset. Referring to the stressor emotion counterproductive work behavior model, this study aimed to determine the effect of role overload on cyberloafing behavior mediated by negative emotions. This research involved 230 health workers (doctors, nurses, and midwives) in Indonesia as participants. Data was collected using the role overload scale, the Job- Related Affective Well-Being Scale, and the cyberloafing scale (minor and serious) and was analyzed through IBM SPSS Statistics 25 PROCESS Macro Hayes v4.1. The results showed that through negative emotions, role overload both directly and indirectly predicts serious cyberloafing. On the other hand, the role overload did not significantly predict minor cyberloafing; rather, it did so indirectly through the mediator's unpleasant emotions. This research implies how the government could create policies to manage excessive workloads by regulating working hours, providing incentives, and ensuring equitable distribution of healthcare facilities. Organizations could regularly evaluate workloads and offer stress management programs. Healthcare workers could adopt effective stress management techniques and seek professional support when necessary while also communicating openly about role overload.