Epidemiology of Postoperative Pain

Status

Recruiting

Phases

Unknown

Study type

Observational

Source

NL-OMON

Registry ID

NL-OMON20021

Enrollment

120000

Registered

2017-10-12

Start date

2015-10-01

Completion date

Unknown

Last updated

2024-02-28

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Postoperative Pain Pain Management Anaesthesia Surgery

Interventions

None listed

Eligibility

Inclusion criteria

Inclusion criteria: Patients aged 18y or older, elective non day care surgery and surgical emergency procedures with an admission of at least 24hr

Exclusion criteria

Exclusion criteria: Day care surgery, palliative surgery, , repeated surgery within the same hospital stay or 72 hours after the first surgery. rare surgical procedures performed less than 5 times a year.

Design outcomes

Primary

Measure	Time frame
1)Epidemiology of postoperative pain To establish the epidemiology of postoperative pain versus surgical procedures and type of analgesia; pain scores vs. different procedures, location surgery, patient characteristics and combinations of aforementioned. To be able to identify procedures and patients with a high risk of severe postoperative pain and to be able tot identify surgical indicator procedures that can be used as a correction model for differences in surgical case mix between hospitals. 2)Risk and prediction To Identify patient- and surgical procedure characteristics correlating with severe postoperative pain 3)Best practice advice Drafting a best practice advise for procedure specific postoperative pain treatment.	—

Measure

Time frame

1)Epidemiology of postoperative pain To establish the epidemiology of postoperative pain versus surgical procedures and type of analgesia; pain scores vs. different procedures, location surgery, patient characteristics and combinations of aforementioned. To be able to identify procedures and patients with a high risk of severe postoperative pain and to be able tot identify surgical indicator procedures that can be used as a correction model for differences in surgical case mix between hospitals. 2)Risk and prediction To Identify patient- and surgical procedure characteristics correlating with severe postoperative pain 3)Best practice advice Drafting a best practice advise for procedure specific postoperative pain treatment.

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Secondary

Measure	Time frame
1) Epidemiology of Postoperative Pain To provide a ranking of surgical procedures in relationship to severe postoperative pain and administered analgesics. To identify indicator surgical procedures with high risk of postoperative pain To determine the quality and quantity of VAS and NRS registration for post operative pain intensity measurement 2) Risk and Prediction To design a model predicting postoperative and form the basis of a decision support application customizing pain treatment for specific groups of patients and to the individual patient’s needs. 3) Best practice advice Build an algorithm advising for the best (procedure specific) post operative pain treatment build in the PDMS or an independent application to tailor pain treatment to the patients needs and facilitate early intervention.	—

Measure

Time frame

1) Epidemiology of Postoperative Pain To provide a ranking of surgical procedures in relationship to severe postoperative pain and administered analgesics. To identify indicator surgical procedures with high risk of postoperative pain To determine the quality and quantity of VAS and NRS registration for post operative pain intensity measurement 2) Risk and Prediction To design a model predicting postoperative and form the basis of a decision support application customizing pain treatment for specific groups of patients and to the individual patient’s needs. 3) Best practice advice Build an algorithm advising for the best (procedure specific) post operative pain treatment build in the PDMS or an independent application to tailor pain treatment to the patients needs and facilitate early intervention.

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Contacts

Public ContactB. Thiel

OLVG Hospital, Department of anesthesiology

b.thiel@olvg.nl+31 (0)20 59992512 (dect: 4773)

Outcome results