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Pain management quality after laparoscopic liver resection: quality indicators assessment

Pain management quality after laparoscopic liver resection: quality indicators assessment

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
TCTR
Registry ID
TCTR20230712006
Enrollment
163
Registered
2023-07-12
Start date
2018-01-01
Completion date
Unknown
Last updated
2026-08-03

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

Conditions

Laparoscopic liver resection (LLR) pain management quality requires approaching those quality indicators. The conversion rate from laparoscopic to open liver resection was between 0% to 55% (4.1%). It may attenuate postoperative pain management quality. So, our study aims to assess the quality of pain management after planned laparoscopic liver resection. The assessment consisted of structure indicators, process indicators, and outcomes indicators. We also evaluate associated factors with an acc

Interventions

All patients scheduled for laparoscopic liver resection at Srinagarind Hospital between January 1, 2018, and March 31, 2023.
Treatment
All patients scheduled for laparoscopic liver resection

Sponsors

Department of Anesthesiology, Faculty of Medicine, Khon Kaen University
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: We included all patients scheduled for laparoscopic liver resection at Srinagarind Hospital between January 1, 2018, and March 31, 2023. We included both successful laparoscopic liver resection and turn to open liver resection aims to analyze the intention to treat.

Exclusion criteria

Exclusion criteria: Patients who received postoperative pain control that are not from acute pain service of anesthesiology will be excluded from the study.

Design outcomes

Primary

MeasureTime frame
The quality of pain management after planned laparoscopic liver resection. within 10 months Number (%) of of structure indicators, process indicators, and outcomes indicators.

Secondary

MeasureTime frame
Associated factors with an acceptable pain management quality. within 10 months Odds ratio (95% CI) by using univariable and multivariable logistic regression models.

Countries

Thailand

Contacts

Public ContactDarunee Sripadungkul

Khon Kaen University

daruneesripa@gmail.com0883223257

Outcome results

None listed

Source: TCTR (via WHO ICTRP) · Data processed: Aug 9, 2026