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Record W2037451981 · doi:10.14236/jhi.v22i1.91

Examining the symptom of fatigue in primary care: a comparative study using electronic medical records

2015· article· en· W2037451981 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Innovation in Health Informatics · 2015
Typearticle
Languageen
FieldMedicine
TopicFibromyalgia and Chronic Fatigue Syndrome Research
Canadian institutionsWestern UniversityCentre for Family Medicine
Fundersnot available
KeywordsMedicineContext (archaeology)Medical recordPrimary careElectronic databasePhysical therapyFamily medicineDatabaseInternal medicine

Abstract

fetched live from OpenAlex

<h3>Background</h3> The symptom of fatigue is one of the top five most frequently presented health complaints in primary care, yet it remains underexplored in the Canadian primary care context. <h3>Objective</h3> The objective of this study was to examine the prevalence and impact of patients presenting with fatigue in primary care, using the only known electronic database in Canada to capture patient-reported symptoms. <h3>Methods</h3> Data were extracted from the Deliver Primary Healthcare Information (DELPHI) database, an electronic medical record database located in Ontario, Canada. Patients were identified using the International Classification of Primary Care, Revised Second Edition coding system. Two groups of patients (fatigue or non-fatigue symptom) were followed for one year and compared. Both descriptive and multivariable analyses were conducted. <h3>Results</h3> A total of 103 fatigue symptom patients, and 103 non-fatigue symptom patients, were identified in the DELPHI database. The period prevalence of fatigue presentation was 8.2%, with the majority of patients being female and over 60 years of age. These patients experienced numerous co-occurring morbidities, in addition to the fatigue itself. During the one year follow-up period, fatigue symptom patients had significantly higher rates of subsequent visits (IRR = 1.19, <i>p</i> = 0.038) and investigations (IRR = 1.68, <i>p</i> &lt; 0.001), and markedly high levels of referrals following their index visit. <h3>Conclusions</h3> This research used an electronic database to examine the symptom, fatigue. Using these data, fatigue symptom patients were found to have higher rates of health care utilisation, compared to non-fatigue symptom patients. <h3>Where This Study Fits In</h3> The symptom of fatigue is a common complaint in primary care practices, reported in approximately 5%–7% of primary care encounters. Using the International Classification of Primary Care, Revised Second Edition (ICPC-2-R) coding system, fatigue symptom presentation was found among 8.2% of patients presenting to 10 primary care practices in Ontario, Canada. With an average age of 63.1 years, the majority of these fatigue symptom patients were female (68.0%) and had co-occurring chronic and psychosocial conditions (88% and 52%, respectively). Compared to a non-fatigue symptom patient group, patients presenting with fatigue experienced significantly higher levels of subsequent visits and investigations during the one year period following an index visit. Future research using electronic medical records should continue to examine amorphous and complex symptoms, such as fatigue, to inform more effective and appropriate clinical management in the primary care context.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.345
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.175
GPT teacher head0.422
Teacher spread0.247 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it