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Prevalensi Burnout Pada Tenaga Kesehatan di RSUD Dr. Saiful Anwar Selama Pandemi Covid-19: Sebuah Studi Potong-Lintang Daryanto, Besut; Putri, Frilya Rachma; Kurniawan, Jemmy; Ilmawan, Muhammad; Fajar, Jonny Karunia
Jurnal Klinik dan Riset Kesehatan Vol 2 No 1 (2022): Edisi Oktober
Publisher : RSUD Dr. Saiful Anwar Province of East Java

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/jk-risk.02.1.2

Pendahuluan: Sebagai garda terdepan dalam penanganan COVID-19, tenaga kesehatan merupakan salah satu pihak yang paling terdampak oleh pandemi COVID-19. Menghadapi berbagai macam tantangan, seperti risiko tertular dan menularkan virus, tenaga kesehatan memiliki risiko lebih besar untuk mengalami burnout. Tujuan: Penelitian ini bertujuan untuk melihat prevalensi burnout beserta faktor yang berasosiasi terhadap burnout pada tenaga kesehatan di Rumah Sakit Umum Daerah Dr. Saiful Anwar (RSSA) selama pandemi COVID-19. Metode: Penelitian ini menggunakan desain studi potong-lintang dengan menggunakan kuesioner yang disebarkan secara daring kepada seluruh tenaga kesehatan di RSSA. Penilaian burnout menggunakan Maslach Burnout Inventory-Human Services Survey (MBI-HSS). Asosiasi dianalisis menggunakan regresi logistik dan disajikan dalam odds ratio (OR) dengan confidence interval 95% (CI 95%). Hasil: Sebanyak 444 tenaga kesehatan di RSSA ikut serta dalam penelitian ini. Sebanyak 21,6% dari seluruh partisipan mengalami burnout. Partisipan dengan usia >40 tahun memiliki risiko 3,7 kali lebih rendah mengalami burnout dibandingkan dengan yang berusia <30 tahun. Sedangkan partisipan yang bekerja 70-100 dan >100 jam per minggu, masing-masing memiliki risiko 2,4 dan 4,5 kali lipat lebih tinggi dibandingkan dengan yang bekerja <70 jam per minggu. Kesimpulan: Hampir seperlima tenaga kesehatan di RSSA mengalami burnout selama pandemi COVID-19, terutama mereka yang berusia <30 tahun dan bekerja >70 jam per minggu.

Persistence of long COVID symptoms in COVID-19 survivors worldwide and its potential pathogenesis - A systematic review and meta-analysis Fahriani, Marhami; Ilmawan, Muhammad; Fajar, Jonny K.; Maliga, Helnida A.; Frediansyah, Andri; Masyeni, Sri; Yusuf, Hanifah; Nainu, Firzan; Rosiello, Francesco; Sirinam, Salin; Keam, Synat; Ophinni, Youdiil
Narra J Vol. 1 No. 2 (2021): August 2021
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narraj.v1i2.36

The study sought to determine the prevalence of persistent long COVID symptoms such as anxiety, depression, dizziness, chest pain, sleep difficulty, palpitations, weight loss, and hair loss among coronavirus disease 2019 (COVID-19) survivors worldwide and to discuss the potential pathogeneses. Potential studies were searched in three databases (PubMed, Scopus, and Web of Science) as of January 30, 2021. Data on study characteristics, patient characteristics during the follow-up, the number of patients with persistent long COVID symptoms and total COVID-19 survivors were collected according to PRISMA guidelines. To assess the quality of studies, the Newcastle-Ottawa scale was used. The estimated prevalence of each long COVID symptom and the association between COVID-19 severity and the occurrence of prolonged symptoms was assessed, if appropriate. The global prevalence of prolonged anxiety was 15.76% (95%CI: 6.36%, 25.15%). Chest pain persisted in 10.36% (239/3,224) of COVID-19 patients (95%CI: 4.92%, 15.80%). Prolonged depression was found in 24 of 548 COVID-19 survivors with an estimated prevalence of 4.32% (95%CI: 2.62%, 6.03%) and dizziness was presented in 4.83% (118/2,219, 95%CI: 1.50%, 8.16%) after recovery. Hair loss was complained by 527 of 2,251 recovered patients (cumulative prevalence of 24.76%, 95%CI: 19.60%, 29.91%), while weight loss was identified in 37 cases among 452 COVID-19 survivors (8.19%, 95%CI: 5.66%, 10.71%). Prolonged palpitation was experienced by 19.38% (211/1,926) survivors with 95%CI: 2.40%, 41.16%. Sleep difficulty was found in 541 of 2,622 COVID-19 survivors (17.87%, 95%CI: 7.55%, 28.20%). The association between COVID-19 severity and the occurrence of persistent long COVID symptoms was not analyzed due to the lack of data. In conclusion, persistent psychological symptoms are frequently reported among COVID-19 survivors. Follow-up studies with a longer duration and larger population are warranted to assess the extent of prolonged symptoms and the quality of life of COVID-19 survivors. Despite various potential pathogeneses that have been hypothesized, a definitive mechanism is yet to be addressed.

Global prevalence of persistent neuromuscular symptoms and the possible pathomechanisms in COVID-19 recovered individuals: A systematic review and meta-analysis Fajar, Jhonny K.; Ilmawan, Muhammad; Mamada, Sukamto; Mutiawati, Endang; Husnah, Milda; Yusuf, Hanifah; Nainu, Firzan; Sirinam, Salin; Keam, Synat; Ophinni, Youdiil; Rosiello, Francesco; Fahriani, Marhami; Rosa, Sandro GV.
Narra J Vol. 1 No. 3 (2021): December 2021
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narra.v1i3.48

This study was conducted to determine the prevalence of prolonged neuromuscular symptoms, including fatigue, anosmia, headache, myalgia, and joint pain in COVID-19 survivors hospitalized with mild, moderate, or severe infections worldwide. The search was conducted up to January 30th, 2021 using three databases (PubMed, Scopus, and Web of Science) to identify potentially eligible studies. Data on study characteristics, follow-up characteristics, and severity of COVID-19 during hospitalization were collected in accordance with PRISMA guidelines. The Newcastle-Ottawa scale was used to assess the quality of relevant articles. The estimated prevalence of specific prolonged neuromuscular symptoms and the association between COVID-19 severity and occurrence of prolonged neuromuscular symptoms was analyzed wherever appropriate. Database search yielded 4,050 articles and 22 articles were included for meta-analysis. The estimated prevalence of prolonged fatigue was recorded in 21.2% (95%CI: 11.9%–34.8%) of 3,730 COVID-19 survivors. Persistent anosmia was recorded in 239 of 2,600 COVID-19 survivors (9.7%, 95%CI: 6.1%–15.2%). In 84 out of 2,412 COVID-19 survivors (8.9%, 95%CI: 3.2%–22.6%), prolonged headache was observed. A total of 53 out of 1,125 COVID-19 patients (5.6%, 95%CI: 2.1%–14.2%) complained of persistent myalgia even after being discharged from the hospital. The prevalence of prolonged joint pain was in 15.4% (95%CI: 8.2%–27.2%) of subjects. Due to data scarcity on COVID-19 severity and prolonged neuromuscular symptoms, association analysis could not be conducted. Widespread concern regarding long-term impacts of COVID-19 was raised after several studies reported prolonged symptoms in COVID-19 survivors. Numerous theories have been proposed to address this concern; however, as the research on this pandemic is still ongoing, no explanation is definitive yet. Therefore, follow-up studies in COVID-19 survivors after recovery from COVID-19 are warranted to determine the pathogenesis of prolonged symptoms. PROSPERO registration: CRD42021242332.

Navigating heterogeneity in meta-analysis: methods for identification and management Ilmawan, Muhammad
Deka in Medicine Vol. 1 No. 2 (2024): August 2024
Publisher : PT. DEKA RESEARCH INSTITUTE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69863/dim.2024.e269

Although meta-analysis is a powerful way to synthesize research findings from multiple studies, the problem of heterogeneity usually arises due to variation in study outcomes. Differences between studies regarding heterogeneity in results can arise from populations, interventions, outcome measures, and methodologies both within and between the studies. This article aims to provide an overview of the methods for identifying and dealing with heterogeneity in meta-analyses to ensure accurate and reliable conclusions. The article aims to describe the application of several statistical methods for detecting heterogeneity, namely the Q statistic and the I² statistic. The Q statistic is used to test whether observed variability in effect sizes exceeds chance expectations, while the I² statistic quantifies the proportion of variability due to heterogeneity. Other methods include the DerSimonian-Laird between-studies variance in random-effects models and the T and T² methods, which use both observed and expected information about effect size dispersion. Methods for dealing with heterogeneity are discussed, including choices between using fixed- versus random-effects models, and techniques for assessing and dealing with outliers using methods such as the Hedges technique. Additionally, the article explores methods to investigate sources of heterogeneity through subgroup analysis and meta-regression. Recognizing limitations such as residual heterogeneity, publication bias, and study quality is also important in making meta-analytical findings more robust. In conclusion, these methods enable researchers to more effectively address heterogeneity issues in meta-analyses, thereby providing more reliable and valid conclusions that contribute to evidence-based practice

Prevalensi Burnout Pada Tenaga Kesehatan di RSUD Dr. Saiful Anwar Selama Pandemi Covid-19: Sebuah Studi Potong-Lintang Daryanto, Besut; Putri, Frilya Rachma; Kurniawan, Jemmy; Ilmawan, Muhammad; Fajar, Jonny Karunia
Jurnal Klinik dan Riset Kesehatan Vol 2 No 1 (2022): Edisi Oktober
Publisher : RSUD Dr. Saiful Anwar Province of East Java

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/jk-risk.02.1.2

Pendahuluan: Sebagai garda terdepan dalam penanganan COVID-19, tenaga kesehatan merupakan salah satu pihak yang paling terdampak oleh pandemi COVID-19. Menghadapi berbagai macam tantangan, seperti risiko tertular dan menularkan virus, tenaga kesehatan memiliki risiko lebih besar untuk mengalami burnout. Tujuan: Penelitian ini bertujuan untuk melihat prevalensi burnout beserta faktor yang berasosiasi terhadap burnout pada tenaga kesehatan di Rumah Sakit Umum Daerah Dr. Saiful Anwar (RSSA) selama pandemi COVID-19. Metode: Penelitian ini menggunakan desain studi potong-lintang dengan menggunakan kuesioner yang disebarkan secara daring kepada seluruh tenaga kesehatan di RSSA. Penilaian burnout menggunakan Maslach Burnout Inventory-Human Services Survey (MBI-HSS). Asosiasi dianalisis menggunakan regresi logistik dan disajikan dalam odds ratio (OR) dengan confidence interval 95% (CI 95%). Hasil: Sebanyak 444 tenaga kesehatan di RSSA ikut serta dalam penelitian ini. Sebanyak 21,6% dari seluruh partisipan mengalami burnout. Partisipan dengan usia >40 tahun memiliki risiko 3,7 kali lebih rendah mengalami burnout dibandingkan dengan yang berusia <30 tahun. Sedangkan partisipan yang bekerja 70-100 dan >100 jam per minggu, masing-masing memiliki risiko 2,4 dan 4,5 kali lipat lebih tinggi dibandingkan dengan yang bekerja <70 jam per minggu. Kesimpulan: Hampir seperlima tenaga kesehatan di RSSA mengalami burnout selama pandemi COVID-19, terutama mereka yang berusia <30 tahun dan bekerja >70 jam per minggu.

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