Evidence map›Paper›PMID 26769788›Full record

Trial reportBMJ open2016

RAPP, a systematic e-assessment of postoperative recovery in patients undergoing day surgery: study protocol for a mixed-methods study design including a multicentre, two-group, parallel, single-blind randomised controlled trial and qualitative interview studies.

U Nilsson, M Jaensson, K Dahlberg, S Odencrants, Å Grönlund, L Hagberg, M Eriksson

Registry-linked trialOpen access · goldAbstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in BMJ open, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02492191 (RAPP- Systematic E-assessment of Postoperative Recovery in Patients Undergoing Day Surgery), which is not on this map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
5.3field-weighted citation impact, top 4% of its field
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.

NCT02492191 nacompletednot on this map

RAPP- Systematic E-assessment of Postoperative Recovery in Patients Undergoing Day Surgery

TypeinterventionalSponsorÖrebro University, SwedenRan2015 to 2016Enrolled1,046ConditionsPostoperative ComplicationsArmsSmartphone app Recovery Assessment by Phone Points (RAPP)
3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 20 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Article
  4. Review
  5. Observational
  6. Article
  7. Article
  8. Article
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

7 authors at 2 institutions in 1 country.

U NilssonFaculty of Medicine and Health, School of Health and Medical Sciences, Örebro University, Örebro, Sweden.ORCID http://orcid.org/0000-0001-5403-4183
M JaenssonFaculty of Medicine and Health, School of Health and Medical Sciences, Örebro University, Örebro, Sweden.ORCID http://orcid.org/0000-0001-7574-6745
K DahlbergFaculty of Medicine and Health, School of Health and Medical Sciences, Örebro University, Örebro, Sweden.
S OdencrantsFaculty of Medicine and Health, School of Health and Medical Sciences, Örebro University, Örebro, Sweden.
Å GrönlundSchool of Business, Örebro University, Örebro, Sweden.ORCID http://orcid.org/0000-0002-3713-346X
L HagbergFaculty of Medicine and Health, Centre for Health Care Sciences, Örebro University Hospital, Örebro, Sweden.
M ErikssonFaculty of Medicine and Health, School of Health and Medical Sciences, Örebro University, Örebro, Sweden.ORCID http://orcid.org/0000-0002-5996-2584
Örebro University · SEÖrebro University Hospital · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDay surgery is a well-established practice in many European countries, but only limited information is available regarding postoperative recovery at home though there is a current lack of a standard procedure regarding postoperative follow-up. Furthermore, there is also a need for improvement of modern technology in assessing patient-related outcomes such as mobile applications. This article describes the Recovery Assessment by Phone Points (RAPP) study protocol, a mixed-methods study to evaluate if a systematic e-assessment follow-up in patients undergoing day surgery is cost-effective and improves postoperative recovery, health and quality of life. METHODS AND ANALYSIS: This study has a mixed-methods study design that includes a multicentre, two-group, parallel, single-blind randomised controlled trial and qualitative interview studies. 1000 patients >17 years of age who are undergoing day surgery will be randomly assigned to either e-assessed postoperative recovery follow-up daily in 14 days measured via smartphone app including the Swedish web-version of Quality of Recovery (SwQoR) or to standard care (ie, no follow-up). The primary aim is cost-effectiveness. Secondary aims are (A) to explore whether a systematic e-assessment follow-up after day surgery has a positive effect on postoperative recovery, health-related quality of life (QoL) and overall health; (B) to determine whether differences in postoperative recovery have an association with patient characteristic, type of surgery and anaesthesia; (C) to determine whether differences in health literacy have a substantial and distinct effect on postoperative recovery, health and QoL; and (D) to describe day surgery patient and staff experiences with a systematic e-assessment follow-up after day surgery.The primary aim will be measured at 2 weeks postoperatively and secondary outcomes (A-C) at 1 and 2 weeks and (D) at 1 and 4 months. TRIAL REGISTRATION NUMBER: NCT02492191; Pre-results.

Indexed as

Ambulatory Surgical ProceduresAttitude of Health PersonnelCost-Benefit AnalysisHealth LiteracyHealth StatusHumansInterviews as TopicMobile ApplicationsPostoperative CareQualitative ResearchQuality of LifeSingle-Blind MethodSmartphoneQUALITATIVE RESEARCH

Identifiers

PMID26769788
PMCPMC4735206
OpenAlexW2269114982

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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.