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Assessment of Factors Predicting Inadequate Pain Management in Chronic Pain Patients
BACKGROUND: Inadequate pain management is highly prevalent and is associated with significant costs and socioeconomic problems, which can lead to disparities in patient care. Specific groups are at higher risk of this problem. A few studies have evaluated the predictive risk factors of inadequate pa...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Kowsar
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7118688/ https://www.ncbi.nlm.nih.gov/pubmed/32280619 http://dx.doi.org/10.5812/aapm.97229 |
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author | Majedi, Hossein Dehghani, S. Sharareh Soleyman-Jahi, Saeed Tafakhori, Abbas Emami, S. Ali Mireskandari, Mohammad Hosseini, S. Maryam |
author_facet | Majedi, Hossein Dehghani, S. Sharareh Soleyman-Jahi, Saeed Tafakhori, Abbas Emami, S. Ali Mireskandari, Mohammad Hosseini, S. Maryam |
author_sort | Majedi, Hossein |
collection | PubMed |
description | BACKGROUND: Inadequate pain management is highly prevalent and is associated with significant costs and socioeconomic problems, which can lead to disparities in patient care. Specific groups are at higher risk of this problem. A few studies have evaluated the predictive risk factors of inadequate pain management. OBJECTIVES: This study evaluated the prevalence and predictive risk factors of inadequate pain management at the primary and secondary care centers with large sample size. METHODS: Patients who had been managed in primary and secondary care clinics were asked to report their personal characteristics, pain intensity, pain duration, and analgesics they were receiving in their first visit at our pain clinic. Zelman pain management index was calculated for each patient by analgesic potency minus mean pain intensity. The negative index showed incongruence between pain intensity and analgesic potency score (pain stronger than medication), indicating inadequate pain management. RESULTS: A negative pain management index was reported in 77% of the 511 recruited patients. Patients with more severe pain were more likely to experience inadequate pain management. A logistic model demonstrated women, people aged 45 - 65 years, illiterates, and obese patients were at higher risks of inadequate pain management. The pain management index was affected by sex and education (via higher pain intensities) and by age and BMI (via lower analgesic potency). CONCLUSIONS: Age, sex, education, and BMI are predictive risk factors of inadequate pain management as a prevalent problem in chronic pain patients. |
format | Online Article Text |
id | pubmed-7118688 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Kowsar |
record_format | MEDLINE/PubMed |
spelling | pubmed-71186882020-04-10 Assessment of Factors Predicting Inadequate Pain Management in Chronic Pain Patients Majedi, Hossein Dehghani, S. Sharareh Soleyman-Jahi, Saeed Tafakhori, Abbas Emami, S. Ali Mireskandari, Mohammad Hosseini, S. Maryam Anesth Pain Med Research Article BACKGROUND: Inadequate pain management is highly prevalent and is associated with significant costs and socioeconomic problems, which can lead to disparities in patient care. Specific groups are at higher risk of this problem. A few studies have evaluated the predictive risk factors of inadequate pain management. OBJECTIVES: This study evaluated the prevalence and predictive risk factors of inadequate pain management at the primary and secondary care centers with large sample size. METHODS: Patients who had been managed in primary and secondary care clinics were asked to report their personal characteristics, pain intensity, pain duration, and analgesics they were receiving in their first visit at our pain clinic. Zelman pain management index was calculated for each patient by analgesic potency minus mean pain intensity. The negative index showed incongruence between pain intensity and analgesic potency score (pain stronger than medication), indicating inadequate pain management. RESULTS: A negative pain management index was reported in 77% of the 511 recruited patients. Patients with more severe pain were more likely to experience inadequate pain management. A logistic model demonstrated women, people aged 45 - 65 years, illiterates, and obese patients were at higher risks of inadequate pain management. The pain management index was affected by sex and education (via higher pain intensities) and by age and BMI (via lower analgesic potency). CONCLUSIONS: Age, sex, education, and BMI are predictive risk factors of inadequate pain management as a prevalent problem in chronic pain patients. Kowsar 2019-12-01 /pmc/articles/PMC7118688/ /pubmed/32280619 http://dx.doi.org/10.5812/aapm.97229 Text en Copyright © 2019, Author(s) http://creativecommons.org/licenses/by-nc/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/) which permits copy and redistribute the material just in noncommercial usages, provided the original work is properly cited. |
spellingShingle | Research Article Majedi, Hossein Dehghani, S. Sharareh Soleyman-Jahi, Saeed Tafakhori, Abbas Emami, S. Ali Mireskandari, Mohammad Hosseini, S. Maryam Assessment of Factors Predicting Inadequate Pain Management in Chronic Pain Patients |
title | Assessment of Factors Predicting Inadequate Pain Management in Chronic Pain Patients |
title_full | Assessment of Factors Predicting Inadequate Pain Management in Chronic Pain Patients |
title_fullStr | Assessment of Factors Predicting Inadequate Pain Management in Chronic Pain Patients |
title_full_unstemmed | Assessment of Factors Predicting Inadequate Pain Management in Chronic Pain Patients |
title_short | Assessment of Factors Predicting Inadequate Pain Management in Chronic Pain Patients |
title_sort | assessment of factors predicting inadequate pain management in chronic pain patients |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7118688/ https://www.ncbi.nlm.nih.gov/pubmed/32280619 http://dx.doi.org/10.5812/aapm.97229 |
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