Evidence map›Paper›PMID 17949624›Full record

ArticleAtencion primaria2007

[To identify primary care interventions that reduce hospitalisation of people over 65 due to ambulatory care sensitive conditions].

M Isabel Valenzuela López, José Luis Gastón Morata, Miguel Melguizo Jiménez, M Mar Valenzuela López, Aurora Bueno Cavanillas

Open access · greenAbstract readEnglish Abstract
In one paragraph

Article in Atencion primaria, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.3field-weighted citation impact, top 17% 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

2 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

M Isabel Valenzuela LópezMedicina de Familia, Centro de Salud Almanjayar, Granada, España. isavallop@hotmail.com
José Luis Gastón Morata
Miguel Melguizo Jiménez
M Mar Valenzuela López
Aurora Bueno Cavanillas
Sociedad Andaluza de Medicina Familiar y Comunitaria · ESUniversidad de Granada · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo study how primary care (PC) professionals perceive the pathologies that tend to cause hospitalisation of people over 65 most frequently, and to study their consistency with the list of ACSCs (Ambulatory Care Sensitive Conditions). To identify prior PC interventions that could reduce or prevent hospitalisation due to those pathologies. DESIGN AND

methodA Delphi study with PC experts from 7 health care centres in Granada, Spain, during 2005. A descriptive analysis of the consensus obtained via self-administered questionnaires.

resultsThe diseases that cause the bulk of admissions in people over 65 are: acute COPD, non-compensated cardiac failure, cerebro-vascular accident, and falls-traumas. The pathologies analysed form part of the list of ACSCs, with the exception of falls, listed as the fourth cause, and cancer processes, listed as the sixth cause. The hospitalisation rates that could be avoided with prompt and effective PC varies between 20% for cancer processes to 70% for non-compensated diabetes. The rate is over 50% in COPD, digestive haemorrhages, and diabetes. The key interventions for reducing hospitalisations are primary prevention care, early diagnosis, and correct treatment. Effectiveness and feasibility vary widely for each particular intervention.

conclusionsThe principal causes of hospitalisation in people over 65 are included as ACSC. Priority actions to reduce avoidable hospitalisations from PC are multi-modal interventions, the majority of which are over 50% effective and feasible.

Indexed as

Primary Health CareAdultAgedAmbulatory CareDelphi TechniqueFemaleHospitalizationHumansMaleMiddle Aged

Identifiers

PMID17949624
PMCPMC7659598
OpenAlexW1972800242

What OpenQuestion holds

Textmetadata
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.