Evidence map›Paper›PMID 37840305›Full record

ArticleClinical pediatrics2024

Telehealth for Children With Medical Complexity During the COVID Pandemic: A Qualitative Study Exploring Caregiver Experiences.

Savithri Nageswaran, Heather Dailey-Farley, Shannon L Golden

Open access · greenAbstract read
In one paragraph

Article in Clinical pediatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
6.9field-weighted citation impact, top 3% 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

5 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
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

3 authors at 1 institution in 1 country.

Savithri NageswaranDepartment of Pediatrics, Wake Forest University School of Medicine, Winston-Salem, NC, USA.ORCID 0000-0003-4898-286X
Heather Dailey-FarleyDepartment of Social Sciences & Health Policy, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
Shannon L GoldenGoldsmith Research Group, Winston-Salem, NC, USA.ORCID 0000-0001-8214-6465
Wake Forest University · US

Funding

Wake Forest Clinical and Translational Science AwardUL1TR001420 · NCATS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ARD, JAMY D, FOLEY, KRISTIE L · 2015 to 2023
$32.3M
NCATS NIH HHS UL1 TR001420
6 · The paper itself

Abstract

Children with medical complexity (CMC) receive care from many clinicians. Our objective is to describe caregivers' experiences about telehealth for CMC. This qualitative study conducted in North Carolina involves semistructured interviews with 23 caregivers of CMC (15 English; 8 Spanish). Data were analyzed using thematic content analysis. Five themes were identified: (1) telehealth allayed caregivers' fears about their children's exposure to COVID-19 and mitigated the challenges with in-person visits during the pandemic. (2) Telehealth reduced the logistical challenges of in-person visits for CMC, enabled providers to see children in their home environment, and prevented appointment cancelations. (3) System inaccessibility, technical problems, and providers' inability to deliver telehealth were challenges. (4) Inadequate evaluation of the child and caregiver-provider communication were limitations. (5) Caregivers were satisfied with telehealth, found variability in telehealth offering, and wished telehealth continued to remain an option. Telehealth is a viable option for outpatient care delivery for CMC.

Indexed as

COVID-19TelemedicineCaregiversChildHumansPandemicsQualitative Researchchildren with medical complexitytelehealth

Identifiers

PMID37840305
PMCPMC11649308
OpenAlexW4387661647

What OpenQuestion holds

Textmetadata
LicenceTDM
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.