Evidence map›Paper›PMID 33496922›Full record

ArticleHealth care management science2021

A scheduling-based methodology for improving patient perceptions of quality of care in intensive care units.

Eduardo Pérez, David P Dzubay

Abstract read
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In one paragraph

Article in Health care management science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. A SIMULATION-OPTIMIZATION APPROACH TO IMPROVE THE ALLOCATION OF SECURITY SCREENING RESOURCES IN AIRPORT TERMINAL CHECKPOINTS.Proceedings of the ... Winter Simulation Conference. Winter Simulation Conference · 2021
    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.

Eduardo PérezIngram School of Engineering, Texas State University, 601 University Drive, San Marcos, TX, 78666, USA. eduardopr@txstate.edu.ORCID http://orcid.org/0000-0001-8481-4332
David P DzubayIngram School of Engineering, Texas State University, 601 University Drive, San Marcos, TX, 78666, USA.

Funding

Robert Wood Johnson Foundation 73834
6 · The paper itself

Abstract

Research has found that hospitals with better scores on patient experience of care surveys have better patient safety records and outcomes. Therefore, targeting ways of improving patient experience of care is becoming relevant for hospitals not only for the patient health outcomes but also for the financial implications. Therefore, the goal of this paper is to develop new operation management strategies for improving patient experience of care in intensive care units (ICUs). A new scheduling-based methodology is developed that considers two of the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) survey dimensions, doctor communication and discharge information. Two hypotheses are studied. The first hypothesis postulates that to improve doctor communication with the patient, a nurse must be present in the patient room when the doctor performs ward rounds. The second hypotheses states that to improve the patient-doctor communication of discharge information aspect, doctors must see the patient expected to be discharged early in the day. A computational study is performed to gather insights and to measure the performance of the scheduling-based methodology on a case study from an intensive care unit located in a hospital in central Texas. The results show hospital improvement in the studied dimensions of the HCAHPS survey after 1 year of the hospital adoption of the study recommendations.

Indexed as

Appointments and SchedulesPatient SatisfactionCommunicationComputer SimulationHospitalsHumansIntensive Care UnitsNursing Staff, HospitalPatient DischargePhysiciansQuality of Health CareTexasDoctorsHCAHPSNurses. SchedulingOperations researchPatient outcomesQuality of care

Identifiers

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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.