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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...

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Autores principales: Majedi, Hossein, Dehghani, S. Sharareh, Soleyman-Jahi, Saeed, Tafakhori, Abbas, Emami, S. Ali, Mireskandari, Mohammad, Hosseini, S. Maryam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Kowsar 2019
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.
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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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