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Record W4307033879 · doi:10.1093/fampra/cmac113

Family physicians’ perspectives on the impact of COVID-19 on preventative care in primary care: findings from a qualitative study

2022· article· en· W4307033879 on OpenAlexafffundabout
Crystal Vaughan, Julia Lukewich, Maria Mathews, Emily Gard Marshall, Lindsay Hedden, Sarah Spencer, Dana Ryan, Rita McCracken, Paul Gill, Stephen J. Wetmore, Richard Buote, Leslie Meredith, Lauren Moritz, Judith Belle Brown

Bibliographic record

VenueFamily Practice · 2022
Typearticle
Languageen
FieldHealth Professions
TopicPrimary Care and Health Outcomes
Canadian institutionsUniversity of British ColumbiaProvidence Health CareSimon Fraser UniversityUniversity of TorontoDalhousie UniversityWestern UniversityMemorial University of Newfoundland
FundersCanadian Institutes of Health Research
KeywordsMedicineThematic analysisPandemicQualitative researchHealth careFamily medicineNursingPublic healthCoronavirus disease 2019 (COVID-19)DiseaseInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

INTRODUCTION: Health system disruptions, caused by unexpected emergencies such as disease outbreaks, natural disasters, and cybercrimes, impact the delivery of routine preventative care. As comprehensive care providers, family physicians (FPs) devote significant time to prevention. However, without emergency and pandemic plans in place in primary care, FPs face added barriers to prioritizing and sustaining preventative care when health systems are strained, which was evident during the COVID-19 pandemic. This study aims to describe FPs' experiences providing preventative care during the COVID-19 pandemic and their perceptions of the impacts of disrupted preventative care in primary care settings. METHODS: Using a qualitative descriptive approach, we conducted semistructured interviews with FPs across 4 provinces in Canada (i.e. Newfoundland and Labrador, Nova Scotia, Ontario, British Columbia) between October 2020 and June 2021 as part of a larger multiple case study. These interviews broadly explored the roles and responsibilities of FPs during the COVID-19 pandemic. Interviews were coded thematically and codes from the larger study were analysed further using an iterative, phased process of thematic analysis. RESULTS: Interviews averaged 58 min in length (range 17-97 min) and FPs had a mean of 16.9 years of experience. We identified 4 major themes from interviews with FPs (n = 68): (i) lack of capacity and coordination across health systems, (ii) patient fear, (iii) impacts on patient care, and (iv) negative impacts on FPs. Physicians voiced concerns with managing patients' prevention needs when testing availability and coordination of services was limited. Early in the pandemic, patients were also missing or postponing their own primary care appointments. Change in the provision and coordination of routine preventative care had negative impacts on both patients and physicians, affecting disease incidence/progression, physician workload, and psychological wellbeing. CONCLUSION: During the COVID-19 pandemic, upstream care efforts were impacted, and FPs were forced to reduce their provision of preventative care. FPs contribute direct insight to primary care delivery that can support pandemic planning to ensure preventative care is sustained during future emergencies.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.187
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.113
GPT teacher head0.522
Teacher spread0.409 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations20
Published2022
Admission routes3
Has abstractyes

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