Evidence map›Paper›PMID 41697395›Full record

ArticleActa neurochirurgica2026

Bridging the digital divide: increasing response rates to electronic pain questionnaires in outpatient neurosurgery.

Julia Mahler, Michel Schläppi, Esther Buenzli, Marc-Eric Halatsch, Alex Alfieri, Daniel Schöni

Abstract read
In one paragraph

Article in Acta neurochirurgica, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Julia MahlerDepartment of Neurosurgery, Cantonal Hospital of Winterthur, Winterthur, Switzerland.
Michel SchläppiDepartment of Orthopedics and Traumatology, Cantonal Hospital of Winterthur, Winterthur, Switzerland.
Esther BuenzliDepartment of Process Design and Digitalization, Cantonal Hospital of Winterthur, Winterthur, Switzerland.
Marc-Eric HalatschDepartment of Neurosurgery, Cantonal Hospital of Winterthur, Winterthur, Switzerland.
Alex AlfieriDepartment of Neurosurgery, Cantonal Hospital of Winterthur, Winterthur, Switzerland.
Daniel SchöniDepartment of Neurosurgery, Cantonal Hospital of Winterthur, Winterthur, Switzerland. daniel.schoeni@ksw.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePain questionnaires are widely used in healthcare; however, response rates-particularly for electronic surveys-are often low and difficult to improve without significant resources. This study aimed to analyze and identify strategies to boost response rates to electronic pain questionnaires distributed prior to first-time consultations for patients with low-back pathologies.

methodsBetween June 2023 and June 2024, referred patients were invited to complete an electronic low-back pain questionnaire before their first neurosurgical consultation. Implementation occurred in three stages: email-only (period 1), with an added notice in the appointment letter (period 2), and with a supplementary informational flyer (period 3). Non-respondents were offered the option to complete the questionnaire at the day of the consultation on a hospital-provided tablet-computer or on paper. Patient demographics, response timing and mode, age-related differences, and potential language barriers were assessed.

resultsOf 1017 patients contacted, 665 responses were eligible for analysis. The overall at-home response rate was 54% (n = 359), increasing significantly from 43% in period 1 to 56% in period 3 (p = 0.027). Of the remaining 306 patients, 226 (40%) were willing to answer the questionnaires by providing a tablet-computer at the day of consultation. Response patterns differed significantly across age groups (p < 0.001) - youngest (age < 51 years), oldest (age > 76 years) and patients with a migration background were less likely to complete the questionnaire.

conclusionAt-home electronic questionnaire response rates can be significantly boosted for pre-consultation pain assessments when supported by targeted interventions. Response rates are affected by age, migration status, language proficiency, and digital access. With a hospital provided tablet-computer based backup, 40% of patients who initially did not respond at home were able to complete the questionnaire at the hospital prior to consultation.

Indexed as

Computers, HandheldNeurosurgical ProceduresPain MeasurementAdultAgedElectronic MailFemaleHumansMaleMiddle AgedSurveys and QuestionnairesAgePatient engagementQuestionnaireResponse rateSurvey

Identifiers

PMID41697395
PMCPMC12909353

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Registered trials

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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.