IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i15p5556-d392976.html
   My bibliography  Save this article

Pain Acceptance and Pain-Related Disability Predict Healthcare Utilization and Medication Intake in Patients with Non-Specific Chronic Spinal Pain

Author

Listed:
  • Rosa Esteve

    (Instituto de Investigación Biomédica de Málaga, Facultad de Psicología, Andalucía Tech, Universidad de Málaga, 29071 Málaga, Spain)

  • Alicia Eva López-Martínez

    (Instituto de Investigación Biomédica de Málaga, Facultad de Psicología, Andalucía Tech, Universidad de Málaga, 29071 Málaga, Spain)

  • Gema Teresa Ruíz-Párraga

    (Instituto de Investigación Biomédica de Málaga, Facultad de Psicología, Andalucía Tech, Universidad de Málaga, 29071 Málaga, Spain)

  • Elena Rocío Serrano-Ibáñez

    (Instituto de Investigación Biomédica de Málaga, Facultad de Psicología, Andalucía Tech, Universidad de Málaga, 29071 Málaga, Spain
    Facultad de Ciencias de la Salud, Área de Psicología, Universidad Isabel I, 09003 Burgos, Spain)

  • Carmen Ramírez-Maestre

    (Instituto de Investigación Biomédica de Málaga, Facultad de Psicología, Andalucía Tech, Universidad de Málaga, 29071 Málaga, Spain)

Abstract

Longitudinal research is needed to determine predictive factors of healthcare utilization and medication intake in people with non-specific spinal pain. This study aims to prospectively examine the predictive value of sex, age, work status, pain intensity, pain acceptance, disability, depression, pain anxiety, and catastrophizing in relation to healthcare utilization and medication intake in people with non-specific spinal pain. Participants were 79 patients with non-specific spinal pain of 6 to 9 months’ duration. They were followed-up at 6 months and 12 months. At enrolment they were administered a battery of questionnaires assessing the predictive variables. Healthcare utilization and medication intake were assessed at follow-ups 1 and 2. At follow-up 1, higher pain acceptance was associated with less healthcare utilization and less medication intake, while male sex was associated with less medication intake. At follow-up 2, higher pain-related disability was associated with higher healthcare use, and pain intensity was associated with higher medication intake. These results suggest that during the early stages of non-specific spinal pain chronification, pain acceptance and the avoidance of pain-related disability—understood as giving up normal activities—can lead to reductions in healthcare utilization and medication intake.

Suggested Citation

  • Rosa Esteve & Alicia Eva López-Martínez & Gema Teresa Ruíz-Párraga & Elena Rocío Serrano-Ibáñez & Carmen Ramírez-Maestre, 2020. "Pain Acceptance and Pain-Related Disability Predict Healthcare Utilization and Medication Intake in Patients with Non-Specific Chronic Spinal Pain," IJERPH, MDPI, vol. 17(15), pages 1-12, July.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:15:p:5556-:d:392976
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/15/5556/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/17/15/5556/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Aban, Inmaculada B. & Cutter, Gary R. & Mavinga, Nsoki, 2009. "Inferences and power analysis concerning two negative binomial distributions with an application to MRI lesion counts data," Computational Statistics & Data Analysis, Elsevier, vol. 53(3), pages 820-833, January.
    2. Eccleston, Chris & De C. Williams, Amanda C. & Rogers, Wendy Stainton, 1997. "Patients' and professionals' understandings of the causes of chronic pain: Blame, responsibility and identity protection," Social Science & Medicine, Elsevier, vol. 45(5), pages 699-709, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Rosa Esteve & Estefanía Marcos & Ángela Reyes-Pérez & Alicia E. López-Martínez & Carmen Ramírez-Maestre, 2021. "Pain Acceptance Creates an Emotional Context That Protects against the Misuse of Prescription Opioids: A Study in a Sample of Patients with Chronic Noncancer Pain," IJERPH, MDPI, vol. 18(6), pages 1-12, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bryant, Louise D. & Green, Josephine M. & Hewison, Jenny, 2006. "Understandings of Down's syndrome: A Q methodological investigation," Social Science & Medicine, Elsevier, vol. 63(5), pages 1188-1200, September.
    2. Simon Arsène & Claire Couty & Igor Faddeenkov & Natacha Go & Solène Granjeon-Noriot & Daniel Šmít & Riad Kahoul & Ben Illigens & Jean-Pierre Boissel & Aude Chevalier & Lorenz Lehr & Christian Pasquali, 2022. "Modeling the disruption of respiratory disease clinical trials by non-pharmaceutical COVID-19 interventions," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    3. Baker, Rachel Mairi, 2006. "Economic rationality and health and lifestyle choices for people with diabetes," Social Science & Medicine, Elsevier, vol. 63(9), pages 2341-2353, November.
    4. Baíllo, A. & Berrendero, J.R. & Cárcamo, J., 2009. "Tests for zero-inflation and overdispersion: A new approach based on the stochastic convex order," Computational Statistics & Data Analysis, Elsevier, vol. 53(7), pages 2628-2639, May.
    5. van Exel, Job & Baker, Rachel & Mason, Helen & Donaldson, Cam & Brouwer, Werner, 2015. "Public views on principles for health care priority setting: Findings of a European cross-country study using Q methodology," Social Science & Medicine, Elsevier, vol. 126(C), pages 128-137.
    6. Ida Björkman & Magnus Simrén & Gisela Ringström & Eva Jakobsson Ung, 2016. "Patients’ experiences of healthcare encounters in severe irritable bowel syndrome: an analysis based on narrative and feminist theory," Journal of Clinical Nursing, John Wiley & Sons, vol. 25(19-20), pages 2967-2978, October.
    7. Jones, Mark & Dobson, Annette & Onslow, Mark & Carey, Brenda, 2009. "Negative binomial mixed models for analysis of stuttering rates," Computational Statistics & Data Analysis, Elsevier, vol. 53(12), pages 4590-4600, October.
    8. Sim, Julius & Madden, Sue, 2008. "Illness experience in fibromyalgia syndrome: A metasynthesis of qualitative studies," Social Science & Medicine, Elsevier, vol. 67(1), pages 57-67, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:17:y:2020:i:15:p:5556-:d:392976. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.