Evidence map›Paper›PMID 38957207›Full record

ArticleFrontiers in public health2024

Hospital accreditation in Mexico fails to improve the quality of healthcare: lessons from an impact evaluation.

Juan Pablo Gutiérrez, Miguel Angel Rodriguez, Pilar Torres-Pereda, Hortensia Reyes-Morales

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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.

Juan Pablo GutiérrezCenter for Policy, Population and Health Research, School of Medicine, National Autonomous University of Mexico, Mexico City, Mexico.
Miguel Angel RodriguezIndependent Researcher, Mexico City, Mexico.
Pilar Torres-PeredaCenter for Health Systems Research, National Institute of Public Health, Cuernavaca, Mexico.
Hortensia Reyes-MoralesCenter for Health Systems Research, National Institute of Public Health, Cuernavaca, Mexico.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Healthcare quality in low- and middle-income countries poses a significant challenge, contributing to heightened mortality rates from treatable conditions. The accreditation of health facilities was part of the former health reform in Mexico, proposed as a mechanism to enhance healthcare quality. This study assesses the performance of hospital accreditation in Mexico, utilizing indicators of effectiveness, efficiency, and safety. Employing a longitudinal approach with controlled interrupted time series analysis (C-ITSA) and fixed effects panel analysis, administrative data from general hospitals in Mexico is scrutinized. Results reveal that hospital accreditation in Mexico fails to enhance healthcare quality and, disconcertingly, indicates deteriorating performance associated with increased hospital mortality. Amidst underfunded health services, the implemented accreditation model proves inadequately designed to uplift care quality. A fundamental redesign of the public hospital accreditation model is imperative, emphasizing incentives for structural enhancement and standardized processes. Addressing the critical challenge of improving care quality is urgent for Mexico's healthcare system, necessitating swift action to achieve effective access as a benchmark for universal healthcare coverage.

Indexed as

AccreditationQuality of Health CareHospital MortalityHospitalsHumansInterrupted Time Series AnalysisLongitudinal StudiesMexicoQuality Improvementeffective accesshospital accreditationimpact evaluationMexicoquality of healthcare

Identifiers

PMID38957207
PMCPMC11217480

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.