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Record W4200226681 · doi:10.1097/dcr.0000000000002187

A Mobile Phone App Improves Patient-Physician Communication and Reduces Emergency Department Visits After Colorectal Surgery

2021· article· en· W4200226681 on OpenAlex
Jules Eustache, Éric Latimer, A. Sender Liberman, Patrick Charlebois, Barry Stein, Julio F. Fiore, Liane S. Feldman, L. Lee

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.

Bibliographic record

VenueDiseases of the Colon & Rectum · 2021
Typearticle
Languageen
FieldMedicine
TopicEnhanced Recovery After Surgery
Canadian institutionsMcGill UniversityMcGill University Health Centre
Fundersnot available
KeywordsMedicineColorectal surgeryEmergency departmentSurgical oncologyGeneral surgeryMobile phoneMedical emergencyEmergency surgeryEmergency medicineAbdominal surgerySurgeryNursing

Abstract

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BACKGROUND: Emergency visits after colorectal surgery are common and require significant health care resources. However, many visits may be avoidable with alternative access to care. Mobile health technologies can facilitate patient access to health care providers. OBJECTIVE: We hypothesized that a mobile app for postdischarge monitoring with patient-provider communication ability would reduce emergency visits after elective abdominopelvic colorectal surgery. DESIGN: This is a prospective cohort study with a regression analysis after coarsened exact matching. SETTING: The study was conducted at a single colorectal referral center from May 2019 to September 2020. PATIENTS: A total of 114 patients were recruited to the intervention and were matched to a retrospective cohort of 608 patients from the 24 months before the study. All patients were managed according to an enhanced recovery pathway. INTERVENTIONS: A mobile phone app comprised of patient education material, daily questionnaires assessing postdischarge recovery, and patient-provider chat function was used. MAIN OUTCOME MEASURES: The primary outcomes included potentially preventable 30-day emergency visits defined according to a validated algorithm. Secondary outcomes included length of stay, complications, total emergency department visits, readmissions, and app usability. RESULTS: Coarsened-exact matching resulted in a matched sample of 94 prospective intervention patients and 256 retrospective control patients. The prospective group was associated with fewer preventable emergency department visits (incidence rate ratio 0.34; p = 0.043) and shorter length of stay (-1.62 days; p = 0.011). There were no differences in 30-day complications, total number of emergency visits, or readmissions. Patient-reported usability of the mobile app was high, with 88% of patients reporting that the app improved their ability to communicate with their surgeon. LIMITATIONS: We did not account for patient activation or perform a cost-analysis. CONCLUSION: Use of a mobile app was associated with fewer potentially preventable emergency visits and shorter length of stay after major elective colorectal surgery, which may be due to enhanced postdischarge monitoring and patient-provider communication. See Video Abstract at http://links.lww.com/DCR/B878 . APLICACIN DE TELFONO MVIL MEJORA LA COMUNICACIN ENTRE MDICO Y PACIENTE Y REDUCE LAS VISITAS AL DEPARTAMENTO DE EMERGENCIAS DESPUS DE CIRUGA COLORECTAL: ANTECEDENTES:Las visitas de emergencia después de la cirugía colorrectal son frecuentes y requieren importantes recursos sanitarios. Sin embargo, muchas visitas pueden evitarse con un acceso alternativo a la atención. Las tecnologías de salud móviles pueden facilitar el acceso de los pacientes a los proveedores de atención médica.OBJETIVO:Se planteó la hipótesis de que una aplicación móvil para el seguimiento posterior al alta con capacidad de comunicación entre el paciente y el médico reduciría las visitas de emergencia después de cirugía colorrectal abdominopélvica electiva.DISEÑO:Este es un estudio de cohorte prospectivo con un análisis de regresión después de un emparejamiento exacto aproximado.ENTORNO CLINICO:El estudio se llevó a cabo en un solo centro de referencia colorrectal entre 05/2019 y 09/2020.PACIENTES:Se reclutó un total de 114 pacientes para la intervención y se emparejaron con una cohorte retrospectiva de 608 pacientes de los 24 meses anteriores al estudio. Todos los pacientes fueron tratados con protocolo de enhanced recovery .INTERVENCIONES:Se utilizó una aplicación para teléfono móvil compuesta de material educativo para el paciente, cuestionarios diarios que evalúan la recuperación posterior al alta y una función de chat entre el paciente y el médico.PRINCIPALES MEDIDAS DE RESULTADO:Los resultados primarios incluyeron visitas a la emergencia en 30 días potencialmente prevenibles, definidas según un algoritmo validado. Los resultados secundarios incluyeron la duración de la estancia, complicaciones, total de visitas al departamento de emergencias, reingresos y la usabilidad de la aplicación.RESULTADOS:El emparejamiento aproximado-exacto resultó en una muestra emparejada de 94 APP + y 256 APP-. APP + se asoció con menos visitas evitables al servicio de urgencias (IRR 0,34, p = 0,043) y una estancia más corta (-1,62 días, p = 0,011). No hubo diferencias en las complicaciones a los 30 días, número total de visitas de emergencia y reingresos. La usabilidad de la aplicación móvil informada por los pacientes fue alta, y el 88% de los pacientes informaron que la aplicación mejoró su capacidad para comunicarse con su cirujano.LIMITACIONES:No contabilizamos la activación del paciente ni realizamos un análisis de costos.CONCLUSIÓNES:El uso de una aplicación móvil se asoció con menos visitas a la emergencia potencialmente prevenibles y una estadía más corta después de una gran cirugía colorrectal electiva, lo que puede deberse a una mejor monitorización posterior al alta y a la comunicación entre el paciente y el médico. Consulte Video Resumen en http://links.lww.com/DCR/B878 . (Traducción-Dr. Francisco M. Abarca-Rendon ).

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.160
Threshold uncertainty score0.535

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.006
GPT teacher head0.233
Teacher spread0.227 · 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