Evidence map›Paper›PMID 23737976›Full record

Trial reportPloS one2013

Demand and predictors for post-discharge medical counseling in home care patients: a prospective cohort study.

Shih-Tan Ding, Chuan-Lan Wang, Yu-Han Huang, Chin-Chung Shu, Yu-Tzu Tseng, Chun-Ta Huang, Nin-Chieh Hsu, Yu-Feng Lin, Hung-Bin Tsai, Ming-Chin Yang and 1 more

Abstract readClinical Trial
In one paragraph

Trial report in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Observational
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

11 authors.

Shih-Tan DingDivision of Hospital Medicine, Department of Traumatology, National Taiwan University Hospital, Taipei, Taiwan.
Chuan-Lan Wang
Yu-Han Huang
Chin-Chung Shu
Yu-Tzu Tseng
Chun-Ta Huang
Nin-Chieh Hsu
Yu-Feng Lin
Hung-Bin Tsai
Ming-Chin Yang
Wen-Je Ko

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

rationalePost-discharge care is challenging due to the high rate of adverse events after discharge. However, details regarding post-discharge care requirements remain unclear. Post-discharge medical counseling (PDMC) by telephone service was set-up to investigate its demand and predictors.

methodsThis prospective study was conducted from April 2011 to March 2012 in a tertiary referral center in northern Taiwan. Patients discharged for home care were recruited and educated via telephone hotline counseling when needed. The patient's characteristics and call-in details were recorded, and predictors of PDMC use and worsening by red-flag sign were analyzed.

resultsDuring the study period, 224 patients were enrolled. The PDMC was used 121 times by 65 patients in an average of 8.6 days after discharge. The red-flag sign was noted in 17 PDMC from 16 patients. Of the PDMC used, 50% (n = 60) were for symptom change and the rest were for post-discharge care problems and issues regarding other administrative services. Predictors of PDMC were underlying malignancy and lower Barthel index (BI). On the other hand, lower BI, higher adjusted Charlson co-morbidity index (CCI), and longer length of hospital stay were associated with PDMC and red-flag sign.

conclusionsDemand for PDMC may be as high as 29% in home care patients within 30 days after discharge. PDMC is needed more by patients with malignancy and lower BI. More focus should also be given to those with lower BI, higher CCI, and longer length of hospital stay, as they more frequently have red flag signs.

Indexed as

Patient DischargeAgedCounselingDisease ProgressionFemaleHealth Services Needs and DemandHome Care ServicesHumansKaplan-Meier EstimateMaleMultivariate AnalysisPatient ReadmissionProspective StudiesVital Signs

Identifiers

PMID23737976
PMCPMC3667835

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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.