Evidence map›Paper›PMID 29378590›Full record

ArticleBMC health services research2018

Patient satisfaction, patients leaving hospital against medical advice and mortality in Italian university hospitals: a cross-sectional analysis.

Tommaso Grillo Ruggieri, Paolo Berta, Anna Maria Murante, Sabina Nuti

Abstract readMulticenter Study
In one paragraph

Article in BMC health services research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. The Italian interregional performance evaluation system.Research in health services & regions · 2022
    Article
  5. Use of Patient-Reported Data within the Acute Healthcare Context: A Scoping Review.International journal of environmental research and public health · 2022
    Article
  6. Article
  7. Dissatisfaction with Local Medical Services for Middle-Aged and Elderly in China: What Is Relevant?International journal of environmental research and public health · 2021
    Article
  8. 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

4 authors.

Tommaso Grillo RuggieriManagement and Health Laboratory, Institute of Management, Scuola Superiore Sant'Anna di Pisa, Via San Zeno 2, 56127, Pisa, Italy. t.grilloruggieri@santannapisa.it.ORCID 0000-0001-9877-6541
Paolo BertaDepartment of Statistics and Quantitative Methods, University Bicocca-Milan, Via Bicocca degli Arcimboldi 8, 20126, Milan, Italy.
Anna Maria MuranteManagement and Health Laboratory, Institute of Management, Scuola Superiore Sant'Anna di Pisa, Via San Zeno 2, 56127, Pisa, Italy.
Sabina NutiManagement and Health Laboratory, Institute of Management, Scuola Superiore Sant'Anna di Pisa, Via San Zeno 2, 56127, Pisa, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealthcare systems are increasingly focusing on outcomes that are the endpoints of care: patient health status and patient satisfaction. The availability of patient satisfaction (PS) data has encouraged research on its relationship with other outcomes, such as mortality. In Italy, an inter-regional performance evaluation system (IRPES) provides 13 regional healthcare systems with a multidimensional assessment of appropriateness, efficiency, financial sustainability, effectiveness, and equity. For university hospitals, IRPES includes the percentage of patients leaving hospital against medical advice (PLHAMA) and mortality rates at the ward level. This paper investigates the relationship between PS and PLHAMA across and within regional healthcare systems in Italy. Secondly, PLHAMA is used as a PS proxy to investigate its relationship with mortality at the ward level in the IRPES university hospitals.

methodsPLHAMA and mortality rates were gathered from administrative data, and PS scores from patient surveys. We explored the association between PS and PLHAMA through a correlation analysis, using data for the 13 IRPES regions. We tested this relationship also at the clinical directorate level in 28 hospitals in Tuscany (5482 interviewed patients in 100 clinical directorates). Secondly, we explored the association between PLHAMA and mortality at the ward level through correlation and regression analyses, using data of 405 wards of eight clinical specialties within 24 IRPES university hospitals.

resultsLower PLHAMA rates were associated with a higher PS in both regional and clinical directorate levels. A positive association between PLHAMA and mortality was shown at the ward level for IRPES university hospitals, with different results for medical and surgical clinical specialties.

conclusionsPS is an important performance dimension that provides healthcare managers and professionals with useful insights for improving care quality and effectiveness. Based on the study results, the PLHAMA rate could be regularly measured to highlight patient dissatisfaction. Due to the association between PLHAMA and mortality, this study also provides evidence of the importance of the patient perspective in assessing the quality of healthcare services. This relationship proved to be significant for surgical clinical units, suggesting the need for further analysing outcomes considering their different determinants in medical and surgical care.

Indexed as

Hospitals, UniversityInpatientsPatient DischargeSelf EfficacyCross-Sectional StudiesEfficiency, OrganizationalEmployee Performance AppraisalHealth Services ResearchHumansItalyPatient SatisfactionQuality Assurance, Health CareQuality of Health CareAgainst medical adviceItalyOutcomesPatient satisfactionPerformance evaluationUniversity hospitals

Identifiers

PMID29378590
PMCPMC5789648

What OpenQuestion holds

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LicenceCC BY
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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.