| Literature DB >> 35935732 |
Mukhamad Fathoni1,2, Turniningtyas Ayu Rachmawati2, Elvira Sari Dewi1, Ari Prasetya Djati2, Sumi Lestari2, Ah Yusuf3, Christrijogo Sumartono Waluyo4.
Abstract
Positive COVID-19 cases in Malang City, Indonesia continue to increase. Until 04 August 2021, the COVID-19 update shows 3301 positive cases with 7754 cured and 832 deaths. This study aims to identify nurses preparedness in rural area community health centers during the COVID-19 pandemic in Malang for self-control to implement health protocol. This study intends to provide insights on controlling COVID-19 spread in Malang, Indonesia. This research is a quantitative study with correlative analytic observational design and a cross-sectional approach involving 120 nurses from 16 primary health centers. The results of the bivariate analysis using gamma correlation test are: knowledge factors (p = 0.005; r = 0.35), attitude (p = 0.000; r = 0.46), means of infrastructure (p = 0.000; r = 0.54), and self-control (p = 0.000; r = 0.52) for the quarantined COVID-19 patients. Knowledge, attitude, infrastructure, and safe house factors can influence self-control for COVID-19. In rural areas, health education-as education and empowerment for patient self-control-is an effort to encourage them to obey health protocol during the pandemic. Nurse readiness and preparedness during the pandemic is crucial for strengthening the assertive behavior commitment through self-control. This ensures the community's awareness of the importance of complying with health protocols for the common good. Mental nursing intervention needs to be added as a part of psychosocial therapy for the community's social problems, primarily in reducing the pressure due to the social distancing enforcement to control and prevent COVID-19 spread.Entities:
Keywords: COVID-19; Community health centers; Disaster; Nurses; Preparedness; Readiness
Mesh:
Year: 2022 PMID: 35935732 PMCID: PMC9344195 DOI: 10.1016/j.enfcli.2022.03.018
Source DB: PubMed Journal: Enferm Clin ISSN: 1130-8621
Frequency distribution of respondents characteristics.
| Characteristics | Control | Intervention | % | ||
|---|---|---|---|---|---|
| Age | f | % | % | ||
| 20–25 years | 21 | 6 | 2 | 11 | 8 |
| 26–30 years | 25 | 28 | 3 | 17 | 22 |
| 31–35 years | 28 | 44 | 10 | 56 | 50 |
| 36–45 years | 46 | 22 | 3 | 16 | 20 |
| Male | 38 | 33 | 4 | 22 | 28 |
| Female | 82 | 67 | 14 | 78 | 72 |
Knowledge description; before and after.
| Knowledge | Mean | SD | 95% CI |
|---|---|---|---|
| Pre-test | 26.39 | 9.04 | 21.89–30.89 |
| Post-test | 70.28 | 10.07 | 65.27–75.28 |
The effects of knowledge on the improvement of readiness and preparedness.
| Knowledge | N | Mean ± SD | Mean difference (95% CI) | p |
|---|---|---|---|---|
| Pre-test | 60 | 23.89 ± 9.00 | 57.78 (53.85–61.71) | 0.000 |
| Post-test | 60 | 81.67 ± 8.04 |
The difference in knowledge score before and after the intervention.
| Knowledge | n | Mean ± SD | Mean difference (95% CI) | p |
|---|---|---|---|---|
| Pre-test | 60 | 26.39 ± 9.04 | 43.89 (38.59–49.18) | 0.000 |
| Post-test | 60 | 70.28 ± 10.07 |