Evidence map›Paper›PMID 34188573›Full record

ArticleRisk management and healthcare policy2021

Predictors and Direct Cost Estimation of Long Stays in Pediatric Intensive Care Units in Saudi Arabia: A Mixed Methods Study.

Mohamad-Hani Temsah, Noura Abouammoh, Ayman Al-Eyadhy, Yazed AlRuthia, Marwah Hassounah, Fahad Alsohime, Ali Alhaboob, Mohammed Almazyad, Majed Alabdulhafid, Fadi Aljamaan and 2 more

Open access · goldAbstract read
In one paragraph

Article in Risk management and healthcare policy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

10 citing papers in PubMed, 13 citations in OpenAlex.

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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

12 authors at 2 institutions in 1 country.

Mohamad-Hani Temsah *Department of Pediatrics, College of Medicine, King Saud University, Riyadh, Saudi Arabia.ORCID 0000-0002-4389-9322
Noura Abouammoh *King Saud University Medical City, King Saud University, Riyadh, Saudi Arabia.
Ayman Al-EyadhyDepartment of Pediatrics, College of Medicine, King Saud University, Riyadh, Saudi Arabia.ORCID 0000-0002-6051-9125
Yazed AlRuthiaDepartment of Clinical Pharmacy, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia.ORCID 0000-0002-0029-5924
Marwah HassounahFamily and Community Medicine Department, College of Medicine, King Saud University, Riyadh, Saudi Arabia.ORCID 0000-0002-3937-4160
Fahad AlsohimeDepartment of Pediatrics, College of Medicine, King Saud University, Riyadh, Saudi Arabia.
Ali AlhaboobDepartment of Pediatrics, College of Medicine, King Saud University, Riyadh, Saudi Arabia.
Mohammed AlmazyadDepartment of Pediatrics, College of Medicine, King Saud University, Riyadh, Saudi Arabia.ORCID 0000-0002-7956-9552
Majed AlabdulhafidDepartment of Pediatrics, College of Medicine, King Saud University, Riyadh, Saudi Arabia.
Fadi AljamaanKing Saud University Medical City, King Saud University, Riyadh, Saudi Arabia.ORCID 0000-0001-8404-6652
Khalid AlhasanDepartment of Pediatrics, College of Medicine, King Saud University, Riyadh, Saudi Arabia.ORCID 0000-0002-4291-8536
Amr JamalKing Saud University Medical City, King Saud University, Riyadh, Saudi Arabia.ORCID 0000-0002-4051-6592
King Saud Medical City · SAKing Saud University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeveral factors influence patients' length of stay (LOS) in pediatric intensive care units (PICUs). This study explored the factors and cost associated with long LOS among pediatric patient population across various PICUs and pediatric surgical cardiac intensive care units (SCICUs).

methodsThis is a multi-center concurrent mixed-methods study that was conducted in different PICUs and SCICUs in Riyadh, Saudi Arabia. The units' leaders were qualitatively interviewed to explore the potential factors contributing to long LOSs in PICUs and SCICUs, and deductive content analysis was used. Microcosting was utilized to estimate the inpatient costs for a sample of long-stay patients (LSPs) and the potential cost savings if those patients were transferred to step-down care units (SDUs) for those who stayed ≥60 days.

resultsTen (90%) leaders of PICUs and SCICUs who were invited had participated. Changing the admission criteria, patient transfer to SDUs, family engagement in the decision-making process, and adopting a national do-not-resuscitate (DNR) policy were factors contributing to short LOSs. On the other hand, administrative constraints, staff avoidance of code status decisions, lack of palliative care resources, and complex patient characteristics were factors associated with long LOSs. The mean inpatient cost per patient was SAR 3.63 million (USD 0.97 million), and the total cost for the 48 patients was SAR 172.95 million (USD 46.12 million).

conclusionIf the recommendation to transfer LSPs after a 60-day PICU stay to SDUs is taken, the estimated cost savings among this sample of patients alone can be as high as SAR 109.47 million (USD 29.19 million). Therefore, future studies should examine the factors contributing to long LOSs in PICUs and SCICUs as well as the effectiveness of different policies aimed at improving the resource allocation and management using more robust study designs and diverse patient population.

Indexed as

content analysiscost of long-stay patientslong-stay patientspediatric critical care

Identifiers

PMID34188573
PMCPMC8235993
OpenAlexW3174524341

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.