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Record W2991103987 · doi:10.3233/shti190397

Effects of Adult Patient Portals on Patient Empowerment and Health-Related Outcomes: A Systematic Review

2019· review· en· W2991103987 on OpenAlexaboutno aff
Alexander Hoerbst, Stefanie Lannig, Gerhard Mueller, Uwe Siebert, Petra Schnell‐Inderst

Bibliographic record

VenueStudies in health technology and informatics · 2019
Typereview
Languageen
FieldHealth Professions
TopicElectronic Health Records Systems
Canadian institutionsnot available
Fundersnot available
KeywordsPatient portalEmpowermentRandomized controlled trialPatient EmpowermentSystematic reviewMedicineHealth careIntervention (counseling)MEDLINENursingFamily medicineSurgeryPolitical science

Abstract

fetched live from OpenAlex

Patient portals are offered by health care organizations to facilitate health information sharing and patient empowerment and support patient-centered care. The aim of this systematic review is to assess the effect of patient portals on patient empowerment and health-related outcomes. After a systematic literature search, ten randomized controlled trials (RCTs) were included in this review. Of these, seven RCTs were conducted in the United States., two in Canada, and one in Japan. Study characteristics, risk of bias, and outcomes were extracted. varied in terms of intervention, included patients, and outcome. Most studies found no or only a small, clinically non-relevant effect of patient portals. The review showed that future research should develop a taxonomy to describe patient portal functionalities to facilitate the aggregation of evidence.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.033
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.008
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.033
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0060.006
Bibliometrics0.0050.006
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.080
GPT teacher head0.481
Teacher spread0.400 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations31
Published2019
Admission routes1
Has abstractyes

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