Evidence map›Paper›PMID 37043330›Full record

ArticleInternational journal for quality in health care : journal of the International Society for Quality in Health Care2023

Is primary care a patient-safe setting? Prevalence, severity, nature, and causes of adverse events: numerous and mostly avoidable.

Gerardo Garzón González, Tamara Alonso Safont, Ester Zamarrón Fraile, Asunción Cañada Dorado, Arancha Luaces Gayan, Dolores Conejos Míquel, Cristina Villanueva Sanz, Oscar Aguado Arroyo, Juan José Jurado Balbuena, Marta Castelo Jurado and 6 more

Erratum issuedAbstract read
In one paragraph

Article in International journal for quality in health care : journal of the International Society for Quality in Health Care, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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. Patient and family engagement interventions in primary care patient safety: systematic review and meta-analysis of randomised controlled trials.The British journal of general practice : the journal of the Royal College of General Practitioners · 2025
    Pooled it
  2. Article
  3. Observational
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Gerardo Garzón GonzálezQuality and Safety Unit, Primary Care Management (Gerencia Asistencial de Atención Primaria), Madrid Health Service (SERMAS), C/ San Martín de Porres 6, 5ª planta, Madrid 28035, Spain.ORCID 0000-0001-9212-1608
Tamara Alonso SafontInformation Systems Unit, Primary Care Management (Gerencia Asistencial de Atención Primaria), Madrid Health Service (SERMAS), C/ San Martín de Porres 6, 5ª planta, Madrid 28035, Spain.
Ester Zamarrón Fraile'Baviera' Primary Healthcare Centre (Centro de Salud Baviera), Primary Care Management (Gerencia Asistencial de Atención Primaria), Madrid Health Service (SERMAS), C/ PIntor Moreno Carbonero 21, Madrid 28028, Spain.
Asunción Cañada DoradoQuality and Safety Unit, Primary Care Management (Gerencia Asistencial de Atención Primaria), Madrid Health Service (SERMAS), C/ San Martín de Porres 6, 5ª planta, Madrid 28035, Spain.
Arancha Luaces Gayan'Torrelodones' Primary Healthcare Centre (Centro de Salud Torrelodones), Primary Care Management (Gerencia Asistencial de Atención Primaria), Madrid Health Service (SERMAS), 28250 Torrelodones, Madrid, Spain.
Dolores Conejos MíquelQuality and Safety Unit, Primary Care Management (Gerencia Asistencial de Atención Primaria), Madrid Health Service (SERMAS), C/ San Martín de Porres 6, 5ª planta, Madrid 28035, Spain.
Cristina Villanueva Sanz'Vicente Muzas' Primary Healthcare Centre (Centro de Salud Vicente Muzas), Primary Care Management (Gerencia Asistencial de Atención Primaria), Madrid Health Service (SERMAS), C/ Vicente Muzas 8, Madrid 28043, Spain.
Oscar Aguado Arroyo'Francia' Primary Healthcare Centre (Centro de Salud Francia), Primary Care Management (Gerencia Asistencial de Atención Primaria), Madrid Health Service (SERMAS), 28943 Fuenlabrada, Madrid, Spain.
Juan José Jurado Balbuena'Alicante' Primary Healthcare Centre (Centro de Salud Alicante), Primary Care Management (Gerencia Asistencial de Atención Primaria), Madrid Health Service (SERMAS), 28945 Fuenlabrada, Madrid, Spain.
Marta Castelo Jurado'Federica Montseny' Primary Healthcare Centre (Centro de Salud Federica Montseny), Primary Care Management (Gerencia Asistencial de Atención Primaria), Madrid Health Service (SERMAS), Av Albufera 285, Madrid 28038, Spain.
Purificación Magán TapiaQuality and Safety Unit, Primary Care Management (Gerencia Asistencial de Atención Primaria), Madrid Health Service (SERMAS), C/ San Martín de Porres 6, 5ª planta, Madrid 28035, Spain.
Aurora Barberá MartínQuality and Safety Unit, Primary Care Management (Gerencia Asistencial de Atención Primaria), Madrid Health Service (SERMAS), C/ San Martín de Porres 6, 5ª planta, Madrid 28035, Spain.
María José Toribio VicenteAdmission Unit, 'Gregorio Marañon' University General Hospital (Hospital General Universitario Gregorio Marañón), Madrid Health Service (SERMAS), C/ Doctor Esquerdo 46, Madrid 28009, Spain.
Mercedes Drake CanelaQuality Unit, 'Infanta Leonor' University Hospital (Hospital Universitario Infanta Leonor), Madrid Health Service (SERMAS), AV Gran V'ía Este 80, Madrid 28031, Spain.
Diego San José SarasPreventive Medicine Service, 'Ramon y Cajal' University Hospital (Hospital Universitario Ramón y Cajal), Madrid Health Service (SERMAS), M 607 9.100, Madrid 28034, Spain.
Inmaculada Mediavilla HerreraQuality and Safety Unit, Primary Care Management (Gerencia Asistencial de Atención Primaria), Madrid Health Service (SERMAS), C/ San Martín de Porres 6, 5ª planta, Madrid 28035, Spain.

Funding

European Regional Development Fund PI20/01012Instituto de Salud Carlos III PI20/01012
6 · The paper itself

Abstract

Knowing the frequency and characteristics of adverse events (AEs) is key to implementing actions that can prevent their occurrence. However, reporting systems are insufficient for this purpose and epidemiological studies are also required. Currently, the reviewing of clinical records is the gold standard method for knowing the frequency and characteristics of AEs. Research on AEs in a primary care setting has been limited and primarily focuses on specific types of events (medication errors, etc.) or patients. Large studies that search for any kind of AE in all patients are scarce. This study aimed to estimate the prevalence of AEs in the primary care setting and their characteristics.

settingall 262 primary health-care centres in the Madrid region (Spain) during the last quarter of 2018.

designcross-sectional descriptive study. Eligible population: subjects over 18 years of age who attended medical consultation over the last year (N = 2 743 719); a randomized sample stratified by age. MAIN OUTCOMES: age, sex, occurrence of an AE, number of consultations in the study period, avoidability, severity, place of occurrence, type of event, and contributory factors. The clinical records were reviewed by three teams, each composed of one doctor and one nurse trained and with expertise in patient safety. The SPSS software package (version 26) was used for the statistical analyses. The evaluators reviewed 1797 clinical records. The prevalence of AEs over the study period was 5.0% [95% confidence interval (CI): 4.0%‒6.0%], with higher values in women (5.7%; 95% CI: 4.6%‒6.8%;P = 0.10) and patients over 75 years of age (10.3%; 95% CI: 8.9%‒11.7%; P < 0.001). The overall occurrence per hundred consultations was estimated to be 1.58% (95% CI: 1.28%‒1.94%). Of the detected AEs, 71.3% (95% CI: 62.1%‒80.5%) were avoidable. Additionally, 60.6% (95% CI: 50.7%‒70.5%) were categorized as mild, 31.9% (95% CI: 22.4%‒41.4%) as moderate, and 7.4% (95% CI: 2.1%‒12.7%) as severe. Primary care was the occurrence setting in 76.6% (95% CI: 68.0%‒85.2%) of cases. The overall incidence of AEs related to medication was 53.2% (95% CI: 50.9%‒55.5%). The most frequent types of AEs were prescription errors (28.7%; 95% CI: 19.5%‒37.9%), followed by drug administration errors by patients (17.0%; 95% CI: 9.4%‒24.6%), and clinical assessment errors (11.7%; 95% CI: 5.2%‒18.2%). The most common contributory factors were those related to the patient (80.6%; 95% CI: 71.1%‒90.1%) and tasks (59.7%; 95% CI: 48.0%‒71.4%). A high prevalence of AEs (1 in 66 consultations) was observed, which was slightly higher than that reported in similar studies. About 3 out of 4 such events were considered to be avoidable and 1 out of 13 was severe. Prescription errors, drug administration errors by patients, and clinical assessment errors were the most frequent types of AEs. Graphical Abstract.

Indexed as

Medical ErrorsPrimary Health CareAdolescentAdultCross-Sectional StudiesFemaleHumansPrevalenceRisk Factors‘adverse events’medical errorspatient harmpatient safetyprevalenceprimary health care

Identifiers

PMID37043330
PMCPMC10148678

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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.