ArticleJournal of general internal medicine2022
Primary Care Practice Transformation in the Era of COVID-19 and Beyond: Key Principles for General Internal Medicine Practitioners.
Article in Journal of general internal medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed, 15 citations in OpenAlex.
- Measures during the COVID-19 pandemic in public primary health care in Greece: is there still a missing link to universal health coverage?BMC primary care · 2024Article
- A qualitative investigation of uninsured patient and primary care provider perspectives on specialty care eConsults.BMC health services research · 2023Article
- Differences between Rural and Urban Practices in the Response to the COVID-19 Pandemic: Outcomes from the PRICOV-19 Study in 38 Countries.International journal of environmental research and public health · 2023Article
- Trends in the Volume and Types of Primary Care Visits during the Two Years of the COVID-19 Pandemic in Israel.International journal of environmental research and public health · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
17 authors at 12 institutions in 1 country.
Funding
Abstract
As members of the Clinical Practice Committee (CPC) of the Society for General Internal Medicine (SGIM), we support practice innovation and transformation to achieve a more just system by which all people can achieve and maintain optimal health. The COVID-19 pandemic has tested the US healthcare delivery system and sharpened our national awareness of long-standing and ingrained system shortcomings. In the face of crisis, SGIM members innovated and energetically mobilized to focus on the immediate needs of our patients and communities. Reflecting on these experiences, we are called to consider what was learned from the pandemic that applies to the future of healthcare delivery. CPC members include leaders in primary care delivery, practice finance, quality of care, patient safety, hospital practice, and health policy. CPC members provide expertise in clinical practice, serving as primary care doctors, hospitalists, and patient advocates who understand the intensity of care needed for those with severe COVID-19 infections, the disproportionate impact of the pandemic on Black and Brown communities, the struggles created for those with poor access to care, and the physical and emotional impact it has placed on patients, families, and clinicians. In this consensus statement, we summarize lessons learned from the 2020-2021 pandemic and their broader implications for reform in healthcare delivery. We provide a platform for future work by identifying many interactive elements of healthcare delivery that must be simultaneously addressed in order to ensure that care is accessible, equitably provided, patient-centered, and cost-effective.
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.