Evidence map›Paper›PMID 28765137›Full record

ArticleBMJ open2017

Childhood respiratory illness presentation and service utilisation in primary care: a six-year cohort study in Wellington, New Zealand, using natural language processing (NLP) software.

Anthony Dowell, Ben Darlow, Jayden Macrae, Maria Stubbe, Nikki Turner, Lynn McBain

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

14 citing papers in PubMed, 23 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Anthony DowellDepartment of Primary Health Care and General Practice, University of Otago, Wellington, New Zealand.
Ben DarlowDepartment of Primary Health Care and General Practice, University of Otago, Wellington, New Zealand.
Jayden MacraeDatacraft Analytics, Wellington, New Zealand.
Maria StubbeDepartment of Primary Health Care and General Practice, University of Otago, Wellington, New Zealand.
Nikki TurnerDepartment of General Practice and Primary Health Care, University of Auckland, Wellington, New Zealand.
Lynn McBainDepartment of Primary Health Care and General Practice, University of Otago, Wellington, New Zealand.
University of Otago · NZUniversity of Auckland · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo identify childhood respiratory tract-related illness presentation rates and service utilisation in primary care by interrogating free text and coded data from electronic medical records.

designRetrospective cohort study. Data interrogation used a natural language processing software inference algorithm.

setting36 primary care practices in New Zealand. Data analysed from January 2008 to December 2013.

participantsThe records from 77 582 children enrolled were reviewed over a 6-year period to estimate the presentation of childhood respiratory illness and service utilisation. This cohort represents 268 919 person-years of data and over 650 000 unique consultations.

main outcome measureChildhood respiratory illness presentation rate to primary care practice, with description of seasonal and yearly variation.

resultsRespiratory conditions constituted 46% of all child-general practitioner consultations with a stable year-on-year pattern of seasonal peaks. Upper respiratory tract infection was the most common respiratory category accounting for 21.0% of all childhood consultations, followed by otitis media (12.2%), wheeze-related illness (9.7%), throat infection (7.4%) and lower respiratory tract infection (4.4%). Almost 70% of children presented to their general practitioner with at least one respiratory condition in their first year of life; this reduced to approximately 25% for children aged 10-17.

conclusionThis is the first study to assess the primary care incidence and service utilisation of childhood respiratory illness in a large primary care cohort by interrogating electronic medical record free text. The study identified the very high primary care workload related to childhood respiratory illness, especially during the first 2 years of life. These data can enable more effective planning of health service delivery. The findings and methodology have relevance to many countries, and the use of primary care 'big data' in this way can be applied to other health conditions.

Indexed as

General PracticePatient Acceptance of Health CarePrimary Health CareRespiratory Tract InfectionsAdolescentAdultChildChild, PreschoolElectronic Health RecordsFemaleHumansInfantMaleNatural Language ProcessingNew ZealandOtitis Mediabig datachildhood respiratory illnessgeneral practicenatural language software programmingprimary care

Identifiers

PMID28765137
PMCPMC5642764
OpenAlexW2742102148

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.