Evidence map›Paper›PMID 28767585›Full record

ArticleMedicine2017

Pent-up demand for surgery in the Manaus metropolitan region: A population-based cross-sectional study.

Priscila Gusmão da Silva Ferreira, Tais Freire Galvao, Marcus Tolentino Silva

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2017. 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
0.5field-weighted citation impact, top 24% 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, 2 citations in OpenAlex.

  1. Article
  2. 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

3 authors at 2 institutions in 1 country.

Priscila Gusmão da Silva FerreiraFederal University of Amazonas, Faculty of Medicine, Post Graduate Program of Surgery, Manaus State University of Campinas, Faculty of Pharmaceutical Science, Campinas Federal University of Amazonas, Faculty of Medicine, Manaus, Brazil.
Tais Freire Galvao
Marcus Tolentino Silva
Universidade Estadual de Campinas (UNICAMP) · BRUniversidade Federal do Amazonas · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Waiting lines in healthcare reflect an imbalance between the availability and the demand for medical services. This study aimed to analyze the prevalence and factors associated with the pent-up demand for surgical procedures in the Manaus metropolitan region.We performed a population-based cross-sectional study in 2015. Pent-up demand was based on self-report by the participants; those who reported waiting were contacted by phone to clarify the nature and reasons for the experienced delay.We interviewed 4001 adults in their households. The pent-up demand for surgical procedures in the Manaus metropolitan region was 14% (95% confidence interval: 13-15%). The surgical specialties with the highest demand included orthopedics (18.1%), gynecology (17.0%), ophthalmology (12.4%), neurosurgery (10.8%), and general surgery (10.2%). The main reason for not accessing services was their lack of availability in the public health system, leading some patients to pay for procedures in private facilities. The populations most affected by pent-up demand included elderly individuals, women, and housewives.Pent-up demand for surgical procedures is a common problem in the Manaus metropolitan region and thus requires coordinated actions to optimize access to and capacity of the healthcare system.

Indexed as

AdolescentAdultAge FactorsBrazilCross-Sectional StudiesFemaleHealth Services AccessibilityHealth Services Needs and DemandHospitals, PrivateHumansInterviews as TopicMaleMiddle AgedNational Health ProgramsSex FactorsSurgical Procedures, Operative

Identifiers

PMID28767585
PMCPMC5626139
OpenAlexW2741289413

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.