Evidence map›Paper›PMID 38058774›Full record

ArticleInnovative surgical sciences2023

Status of inpatient pain therapy using the example of a general and abdominal surgery normal ward - a prospective questionnaire study to review a pain therapy algorithm ("real-world data").

Michael Brinkers, Mandy Istel, Moritz Kretzschmar, Giselher Pfau, Frank Meyer

Abstract read
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Article in Innovative surgical sciences, 2023. 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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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Michael BrinkersDivision of Pain Therapy, Department of Anesthesiology and Intensive Care Medicine, University Hospital at Magdeburg, Magdeburg, Germany.
Mandy IstelDepartment of Cardiology, University Hospital at Magdeburg, Magdeburg, Germany.
Moritz KretzschmarDivision of Pain Therapy, Department of Anesthesiology and Intensive Care Medicine, University Hospital at Magdeburg, Magdeburg, Germany.
Giselher PfauDivision of Pain Therapy, Department of Anesthesiology and Intensive Care Medicine, University Hospital at Magdeburg, Magdeburg, Germany.
Frank MeyerDepartment of General, Abdominal, Vascular and Transplant Surgery, University Hospital at Magdeburg, Magdeburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The mean pain intensity for inpatient consultations, for example in cancer patients, is known. However, the proportion of necessary consultations in the total volume of patients of a ward or a hospital, the general pain intensity in a surgical ward and the relationship between pain medication, length of stay and therapeutic success are unknown. The aim of the study was to examine surgical patients in a single normal ward subclassified into various groups (-/+ surgery, ICU stay, cancer, consultation for pain therapy etc.) during half a year with regard to their pain. For this purpose, the pain score (NAS) was recorded daily for each patient during the entire hospital stay and the change was assessed over the clinical course. Methods: In 2017, all consecutive new admissions to a normal ward of general surgery at a university hospital ("tertiary center") were monitored over half a year according to a standardized procedure. Pain severity (measured by the "Numeric rating scale" [NRS] respectively "Visual analogue scale" [VAS]) from admission to discharge was recorded, as well as the length of stay and the administered medication. Patient groups were sub-classified as surgery, intensive care unit, cancer and pain consultation. An algorithm in two parts (part 1, antipyretics and piritramide; part 2, WHO-scheme and psychotropic drugs), which was defined years before between surgeons and pain therapists, was pursued and consequently used as a basis for the evaluation of the therapeutic success. Results: 269 patients were included in the study. The mean pain intensity of all patients at admission was VAS 2.2. Most of the groups (non-cancer, intensive care unit [ICU], non-ICU, surgical intervention (=Operation [OP]), non-OP, pain intensity greater than VAS 3) were significantly reduced in pain at discharge. An exception in this context was patients with cancer-associated pain and, thus, initiated pain consultation. Conclusions: Since three quarters of the consultation patients also reported cancer pain, it might be possible that the lack of treatment success in both the consultation and cancer groups is associated with cancer in these patients. However, it can be shown that the successfully treated groups (without ICU-based course) had a mean length of stay from 4.2 ± 3.9 up to 8.4 ± 8.1 days (d), while the two unsuccessfully treated groups experienced a longer stay (mean

Indexed as

NSAIDopioidspain intensitypsychotropic drugstherapeutic algorithm

Identifiers

PMID38058774
PMCPMC10696937

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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.