Evidence map›Paper›PMID 37995267›Full record

ArticleHealth policy and planning2023

Paper promises: Peruvian frontline health workers' perspectives on mental health policies during COVID-19.

Nikol Mayo-Puchoc, Jenny Bejarano-Carranza, Rubí Paredes-Angeles, Ana Lucía Vilela-Estrada, Jackeline García-Serna, Noelia Cusihuaman-Lope, David Villarreal-Zegarra, Victoria Cavero, Sara Ardila-Gómez

Open access · hybridAbstract read
In one paragraph

Article in Health policy and planning, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.6field-weighted citation impact, top 17% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Observational
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 2 countries.

Nikol Mayo-PuchocInstituto Peruano de Orientación Psicológica, 208 Manuel Corpancho Av, Lima 15046, Peru.ORCID 0000-0002-6182-7605
Jenny Bejarano-CarranzaInstituto Peruano de Orientación Psicológica, 208 Manuel Corpancho Av, Lima 15046, Peru.ORCID 0000-0002-2441-8351
Rubí Paredes-AngelesCRONICAS Centre of Excellence in Chronic Diseases, Universidad Peruana Cayetano Heredia, 445 Armendáriz Av, Lima 15074, Peru.ORCID 0000-0003-3669-4932
Ana Lucía Vilela-EstradaCRONICAS Centre of Excellence in Chronic Diseases, Universidad Peruana Cayetano Heredia, 445 Armendáriz Av, Lima 15074, Peru.ORCID 0000-0001-5647-465X
Jackeline García-SernaInstituto Peruano de Orientación Psicológica, 208 Manuel Corpancho Av, Lima 15046, Peru.ORCID 0000-0001-9260-1505
Noelia Cusihuaman-LopeCRONICAS Centre of Excellence in Chronic Diseases, Universidad Peruana Cayetano Heredia, 445 Armendáriz Av, Lima 15074, Peru.ORCID 0000-0001-6711-7957
David Villarreal-ZegarraInstituto Peruano de Orientación Psicológica, 208 Manuel Corpancho Av, Lima 15046, Peru.ORCID 0000-0002-2222-4764
Victoria CaveroCRONICAS Centre of Excellence in Chronic Diseases, Universidad Peruana Cayetano Heredia, 445 Armendáriz Av, Lima 15074, Peru.ORCID 0000-0003-4858-7165
Sara Ardila-GómezConsejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Godoy Cruz 2290, Buenos Aires 1425, Argentina.ORCID 0000-0002-0022-7438
Institute of Peruvian Studies · PEUniversidad Peruana Cayetano Heredia · PEConsejo Nacional de Investigaciones Científicas y Técnicas · AR

Funding

Health Systems Global and the Alliance for Health Policy and Systems Research
6 · The paper itself

Abstract

Governments globally deployed various non-pharmacological public health measures to respond to the COVID-19 pandemic (i.e. lockdowns and suspension of transportation, amongst others); some of these measures had an influence on society's mental health. Specific mental health policies were therefore implemented to mitigate the potential mental health impact of the pandemic. We aimed to explore the implementation of mental health regulations adopted by the Peruvian health system by focusing on the care services at Community Mental Health Centres (CMHCs), based on the experiences of health workers. We conducted a phenomenological qualitative study to understand the implementation of mental health policies launched in Peru during the COVID-19 pandemic. Data were obtained from a document review of 15 national policy measures implemented during the pandemic (March 2020 to September 2021), and 20 interviews with health workers from CMHCs (September 2021 to February 2022). The analysis was conducted using thematic content analysis. Most implemented policies adapted CMHC care services to a virtual modality during the COVID-19 pandemic; however, various challenges and barriers were evidenced in the process, which prevented effective adaptation of services. Workers perceived that ineffective telemedicine use was attributed to a gap in access to technology at the CMHCs and also by users, ranging from limited access to technological devices to a lack of technological skills. Further, although mental health promotion and prevention policies targeting the community were proposed, CMHC staff reported temporary interruption of these services during the first wave. The disparity between what is stated in the regulations and the experiences of health workers is evident. Policies that focus on mental health need to provide practical and flexible methods taking into consideration both the needs of CMHCs and socio-cultural characteristics that may affect their implementation.

Indexed as

COVID-19Communicable Disease ControlHealth PolicyHumansPandemicsPeruhealth policyHealth workersmental healthPeruqualitative research

Identifiers

PMID37995267
PMCPMC10666939
OpenAlexW4388936481

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.