Evidence map›Paper›PMID 35805465›Full record

ArticleInternational journal of environmental research and public health2022

Community-Based Advanced Case Management for Patients with Complex Multimorbidity and High Medical Dependence: A Longitudinal Study.

Kana Kazawa, Michiko Moriyama

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
–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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. 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

2 authors.

Kana KazawaDepartment of Medicine for Integrated Approach to Social Inclusion, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima 734-8553, Japan.ORCID 0000-0002-5303-8542
Michiko MoriyamaDivision of Nursing Science, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima 734-8553, Japan.ORCID 0000-0002-9190-8705

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This longitudinal study aimed to evaluate a community-based and nurse-led advanced case management model centered on disease management. Participants were chronically ill patients aged 20 years and older who were highly dependent on medical care. The case management group (CMG) received nurse-led advanced case management, and the comparison group (CG) was selected by matching estimated propensity scores with the CMG. We compared the changes in medico-economic indicators between the two groups and analyzed the physical and psychological indicators of the CMG over time. The CMG comprised 51 participants, of which eight dropped out by 12 months after registration. After 1:1 propensity score matching, there were 40 participants in the CMG and CG, respectively. At 12 months after the registration, there was no significant difference between the two groups and no change in the CMG. At 24 months after the registration, the CMG's medical and long-term care costs decreased significantly, while the CG's costs increased. Moreover, there was a significant reduction in the number of hospital days and hospital admissions in the CMG. Our findings revealed that nurse-led advanced case management could be useful for patients with complex needs to avoid hospitalization due to exacerbations.

Indexed as

Case ManagementMultimorbidityChronic DiseaseHospitalizationHumansLongitudinal Studiesadvanced practice nursecase managementchronic diseasesdisease managementmedical dependencepropensity score matching

Identifiers

PMID35805465
PMCPMC9265887

What OpenQuestion holds

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Registered trials

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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.