Evidence map›Paper›PMID 38724740›Full record

ArticleJournal of general internal medicine2024

How Social Connectedness Helps Patients Stay Home After Hospital at Home Enrollment: A Mixed Methods Study.

Christy J W Ledford, Lauren A Cafferty, Eunice Lee, Hailie C Hayes, Destine C Ede, Brandon P Hodges, Grant C Whitebloom, David W Walsh, Thad Wilkins

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of general internal medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

9 authors.

Christy J W LedfordMedical College of Georgia at Augusta University, Augusta, USA. Christy.ledford@augusta.edu.ORCID 0000-0001-5523-454X
Lauren A CaffertyThe George Washington University, Washington, DC, USA.
Eunice LeeMedical College of Georgia at Augusta University, Augusta, USA.
Hailie C HayesMedical College of Georgia at Augusta University, Augusta, USA.
Destine C EdeMedical College of Georgia at Augusta University, Augusta, USA.
Brandon P HodgesMedical College of Georgia at Augusta University, Augusta, USA.
Grant C WhitebloomMedical College of Georgia at Augusta University, Augusta, USA.
David W WalshMedical College of Georgia at Augusta University, Augusta, USA.
Thad WilkinsMedical College of Georgia at Augusta University, Augusta, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhile enrolled in Hospital at Home (HaH) programs, patients rely on their social network to provide supportive behaviors that are routinely provided by hospital staff in the inpatient setting.

objectiveThis study investigated how social connectedness is associated with patient outcomes in a HaH program.

designThe explanatory iterative sequential mixed methods design included an electronic health record review to collect quantitative measures to describe the severity of patient illness and healthcare utilization and then qualitative interviews to explain quantitative findings.

participantsThe quantitative phase included 100 patients (18 years or older) admitted to the hospital who were subsequently enrolled in the HaH program. In the qualitative phase, 33 of the 100 patients participated in semi-structured interviews. ANALYSIS: Qualitative data was analyzed using the Sort & Sift, Think & Shift method. Integrated analysis included merged data displays of healthcare utilization data and patient descriptions of their care and genogram-type illustrations to enable variable-oriented analysis of structural support. We then examined patient narratives by two variables: life course and care elevation, to understand differences in the trajectories of six subsets of patients as identified by the quantitative data. KEY

resultsThree factors prompted patients to enroll in HaH: low attention from hospital staff during hospital stay; loneliness and isolation during hospital stay; and family encouragement to enroll. After discharge, social support within the home structure facilitated recovery during HaH. Conversely, HaH patients with limited support within the home were more likely to be readmitted.

conclusionsStructural social connectedness facilitates patient recovery in HaH. Before enrolling patients in HaH, clinicians should take an in-depth social history, including questions about social/familial roles, household responsibilities, and technology acceptance. Clinicians should engage formal and informal caregivers in these conversations early and communicate a clear picture of what caregivers should do to support the patient through recovery.

Indexed as

Patient DischargeSocial SupportAdultAgedAged, 80 and overFemaleHome Care Services, Hospital-BasedHumansMaleMiddle AgedQualitative ResearchCare transitionsHospital-at-homeSocial support

Identifiers

PMID38724740
PMCPMC11534937

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.