ArticlePloS one2023
Indonesian healthcare professionals' experiences in rural and urban settings during the first wave of COVID-19: A qualitative study.
Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed, 7 citations in OpenAlex.
- COVID-19 vaccine acceptance and uptake in Indonesia, Nepal, and Vietnam: Key lessons from a qualitative study.PLOS global public health · 2026Article
- Understanding Surgeon Professionalism in Indonesia: A Qualitative Study in a Multicultural and Resource-Limited Context.Journal of advances in medical education & professionalism · 2025Article
- Sliding mode control with stochastic modeling and mobility interaction for managing epidemic spread in high-population regions.Parasite epidemiology and control · 2025Article
- Determinant factors in the use of modern contraception in urban and rural areas in Western Indonesia.BMC public health · 2025Article
- An exploratory study of electronic medical record implementation and recordkeeping culture: the case of hospitals in Indonesia.BMC health services research · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 3 institutions in 3 countries.
Funding
Abstract
introductionDuring the COVID-19 pandemic, healthcare workers (HCWs) faced unprecedented challenges, increased workload, and often struggled to provide healthcare services. We explored the experiences faced by HCWs working at primary healthcare centers (PHCs) and hospitals across urban and rural settings in Indonesia.
methodsAs part of a larger multi-country study, we conducted semi-structured in-depth interviews with a purposive sample of Indonesian HCWs. We used thematic analysis to identify the main challenges described by the participants.
resultsWe interviewed 40 HCWs between December 2020 and March 2021. We identified that challenges varied depending on their role. i) For those in clinical roles, challenges included maintaining trust with communities, and patient referral issues; ii) for those in non-clinical roles, sub-optimal laboratory capacity and logistics, and lack of training were the main challenges; iii) for managerial roles, challenges included access to budget and supplies, and staff shortages due to isolation and overwork. There were also several cross-cutting challenges across all the roles including limited or rapidly changing information (in urban settings), and culture and communication (in rural settings). All of these challenges contributed to mental health issues among all HCW cadres.
conclusionsHCWs across roles and settings were confronted with unprecedented challenges. Understanding the various challenges across different healthcare cadres and within different settings is crucial for supporting HCWs during pandemic times. In rural areas, in particular, HCWs should be more sensitive to cultural and linguistic differences to enhance the effectiveness and awareness of public health messages.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.