Evidence map›Paper›PMID 40417554›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2024

Health Related Social Needs Screening and Referral Fulfillment: Toward a Complex Model.

Paulina Sockolow

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

1 author.

Paulina SockolowDrexel University, Philadelphia PA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Health Related Social Needs (HRSN) is an important driver of patient health outcomes. Healthcare organizations address patient HRSN with screening and community resource referral fulfillment (S&RF) processes for which they lack patient retention data, due to information silos. The process is complex and not fully represented in available conceptual models nor adequately assessed for effectiveness. The objective was to develop an evidence-based HRSN S&RF complex model and identify patient retention parameters. Model development drew from the literature and expert input to create a complex S&RF model, and identify parameters for model stages and factors. Studies (50) involved manual S&RF processes in small, specialized populations. The model organized 88 factors among five S&RF stages. Half the studies reported parameters, for which stage and factor ranges were wide and indicated reduced patient retention along the process. Needed is data from routine care in which HRSN platforms are used, and information silos overcome.

Indexed as

Mass ScreeningModels, OrganizationalNeeds AssessmentReferral and ConsultationHumans

Identifiers

PMID40417554
PMCPMC12099334

What OpenQuestion holds

Textmetadata
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.