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Enregistrement W2324932930 · doi:10.1097/00132981-200405000-00020

Patient Satisfaction Surveys and the Emergency Department

2004· article· en· W2324932930 sur OpenAlexaboutno aff
Steven J. Davidson

Notice bibliographique

RevueEmergency Medicine News · 2004
Typearticle
Langueen
DomaineMedicine
ThématiqueEmergency and Acute Care Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésEmergency departmentPatient satisfactionMedicinePediatric emergency medicineFamily medicineRealmQuarter (Canadian coin)Medical emergencyPsychologyNursingEmergency physician

Résumé

récupéré en direct d'OpenAlex

FigureWe just received preliminary (and sobering) results of our fourth-quarter patient satisfaction survey. The process we use differs from the usual commercial patient satisfaction survey, but its value to the ED is so great that I thought it might be worth sharing with you. I've also recently learned of another approach — driven by the emergency physician group practice — that may hold some interest for you. While neither may work for your environment, perhaps you can learn something you can use. Our hospital conducts structured telephone interviews on admitted and discharged patients, talking to sufficient numbers of patients to garner completed interviews with 100 patients each month. Patients are interviewed in their language of choice, either English, Spanish, Yiddish, Russian, or more recently Mandarin Chinese. Arabic may be next. Patient satisfaction surveys remind ED staff that caring for the patient must go beyond the clinical realm alone During October, November, and December, pediatric inpatients and ambulatory patients are surveyed. We also survey ED outpatients and the caregivers of pediatric ED outpatients using an instrument similar to our adult/pediatric inpatient tool. The inpatient tool attempts to determine by direct questioning and confirmatory questions whether the patient was admitted through the ED. If he was, seven questions relevant to the ED experience are asked, only one of which is about the emergency physician. The question is broad, and asks about all physicians that may have been involved in the patient's care. We do not tie patients' comments to specific providers. The emergency department and the hospital administration look at the survey results as useful information about systems and processes, not individual providers. What we do get is wonderful information that allows us to compare the experience of admitted patients with discharged patients as well as longitudinal results over time. Results include an analysis of both positives and negatives. We aim for no more than 10 percent in the “strongly disagree” category and 90 percent in the “agree” and “strongly agree” groups. Survey items are all posed in the affirmative. Our results since 2001 (the survey is conducted monthly; results are reported quarterly) conform to Boudreaux and O'Hea's findings that patient satisfaction is most affected by the quality of interaction with the ED provider (J Emerg Med 2004;26[1]:13). Waiting time, perceived or real, and discordance among perception and expectation were a secondary factor in this literature review and analysis of opportunities for further study. Variations on a Theme I've learned of two variations on an emergency physician-centered patient satisfaction survey, both of which I would characterize more as callback efforts intent on enriching the patient encounter and improving patient satisfaction. In both instances, the emergency physician practices conduct the process. Tom Scaletta, MD, the chairman of the department of emergency medicine at Edward Hospital in Naperville, IL, designed and implemented the process, and he describes his approach like this: “The callback clerk attempted to reach a cohort of all discharged patients. She called about 3,000 a month, and reached about one-third. What she said was carefully scripted. Patients getting worse were told to call their [primary care provider] or come back to the ED immediately. No further medical advice was given by the callback clerk, though, if requested, the call was transferred to a nurse. The cost (about $36K a year) was about $1 per patient attempted or $3 per patient reached. This was a full-time position by an administrative assistant with great interpersonal skills. Her job was facilitated by a callback database (FileMaker Pro), which uploaded the prior day's census, automatically dialed, and served as a user-friendly way to store the data.” (J Emerg Med 2004;26[1]:13.) The callback information was used to improve satisfaction — the act of checking on patient's well being was positively received. We uncovered problems quickly, and made recommendations to correct them, documented improvement, and ensured adequate follow-up. All this helps minimize risk. Finally, we collected data on opportunities for the physician, nurse, and system to improve. We used a letter grade because patients immediately understood what we meant. A portion of the doctors' bonus was tied to this grade. Overall, 70 percent of the doctors received an A, and 25 percent received a B. The ratio of A:B was more influential than A/B:C/D/F in comparing the physicians. They received monthly feedback, and many were able to change their means of interacting with patients to improve their scores significantly. The other physician-driven approach takes advantage of integrated information systems and telecommunications technologies to use automated dialing to leave a message in the physician's voice to the patient. The message advises the patient to call 9–1-1, return to the ED, or see his primary care provider if he is not improved or has gotten worse. It then solicits feedback with any concerns or comments regarding the patient's care or experience in the ED. A patient request for a callback from the physician receives that response. Our patient satisfaction survey results served as a sharp rejoinder to complacency, reminding me that while excuses abound — space, staffing resources, upstairs-downstairs communication, and conflicts — I must periodically remind myself and re-energize all staff in our commitment to care for our patients within the resources available. Patients and their families take for granted that they are getting good clinical care; caring for the patient must go beyond the clinical realm alone.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,012
score de la tête « metaresearch » (Gemma)0,055
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,015
Score d'incertitude au seuil0,062

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0120,055
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0030,004
Études des sciences et des technologies0,0000,000
Communication savante0,0010,001
Science ouverte0,0000,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0150,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,023
Tête enseignante GPT0,304
Écart entre enseignants0,280 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2004
Routes d'admission1
Résumé présentoui

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