IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i5p2881-d762060.html
   My bibliography  Save this article

Non-Medical Factors Associated with the Outcome of Treatment of Chronic Non-Malignant Pain: A Cross-Sectional Study

Author

Listed:
  • Irena Kovačević

    (Department of Nursing, University of Applied Health Sciences, Mlinarska 38, 10000 Zagreb, Croatia
    Department of Family Medicine, Faculty of Medicine, University of Ljubljana, Poljanski nasip 58, 1000 Ljubljana, Slovenia)

  • Višnja Majerić Kogler

    (School of Medicine, University of Zagreb, Šalata 3, 10000 Zagreb, Croatia)

  • Valentina Krikšić

    (Department of Nursing, University of Applied Health Sciences, Mlinarska 38, 10000 Zagreb, Croatia
    Institution for Home Healthcare Domnius, 10000 Zagreb, Croatia)

  • Boris Ilić

    (Department of Nursing, University of Applied Health Sciences, Mlinarska 38, 10000 Zagreb, Croatia)

  • Adriano Friganović

    (Department of Nursing, University of Applied Health Sciences, Mlinarska 38, 10000 Zagreb, Croatia
    Department of Anaesthesiology and Intensive Medicine, University Hospital Centre Zagreb, Kišpaticeva 12, 10000 Zagreb, Croatia)

  • Štefanija Ozimec Vulinec

    (Department of Nursing, University of Applied Health Sciences, Mlinarska 38, 10000 Zagreb, Croatia)

  • Jadranka Pavić

    (Department of Nursing, University of Applied Health Sciences, Mlinarska 38, 10000 Zagreb, Croatia)

  • Milan Milošević

    (Andrija Štampar School of Public Health, University of Zagreb School of Medicine, 10000 Zagreb, Croatia)

  • Petra Kovačević

    (Department of Rheumatology, Physical and Rehabilitation Medicine, University Hospital Centre “Sestre Milosrdnice”, 10000 Zagreb, Croatia)

  • Davorina Petek

    (Department of Family Medicine, Faculty of Medicine, University of Ljubljana, Poljanski nasip 58, 1000 Ljubljana, Slovenia)

Abstract

Background: Chronic pain is a global public health issue with increasing prevalence. Chronic pain causes sleep disorder, reactive anxiety, and depression, impairs the quality of life; it burdens the individual and society as a whole. The aim of this study was to examine non-medical factors related to the outcome of the treatment of chronic non-malignant pain. Methods: A cross-sectional study with two groups of patients was conducted using a questionnaire with biological, psychological, and social characteristics of patients. Since this study was cross-sectional, it was not possible to determine whether some factors were the cause or the consequence of unsuccessful treatment outcome, which is at the same time one of the disadvantages of cross-sectional studies. Results: The poor outcome of the treatment of chronic non-malignant pain in a multivariate binary logistic regression model was statistically significantly associated with the lower quality of life (OR = 0.95 (95% CI: 0.91–0.99; p = 0.009), and higher depression level OR = 1.08 (95% CI: 1.02–1.14; p = 0.009). The outcome of the treatment was not directly related to social support measured by the multivariate binary logistic regression model (OR = 1.04, 95% CI: 0.95–1.15, p = 0.395), but solitary life (without partner) was (OR = 2.16 (95% CI: 1.03–4.53; p = 0.043). Conclusion: The typical patient with a poor pain management outcome is retired, presents depressive behavior; their pain disturbs general activity and sleeping. Moreover, they have a physically disturbed quality of life and require self-treatment due to the inaccessibility of doctors and therapies. The principle of treatment of patients with chronic, non-malignant pain should take into account a biopsychosocial approach with individually adjusted procedures.

Suggested Citation

  • Irena Kovačević & Višnja Majerić Kogler & Valentina Krikšić & Boris Ilić & Adriano Friganović & Štefanija Ozimec Vulinec & Jadranka Pavić & Milan Milošević & Petra Kovačević & Davorina Petek, 2022. "Non-Medical Factors Associated with the Outcome of Treatment of Chronic Non-Malignant Pain: A Cross-Sectional Study," IJERPH, MDPI, vol. 19(5), pages 1-14, March.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:5:p:2881-:d:762060
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/5/2881/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/5/2881/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Peter Knaster & Ann-Mari Estlander & Hasse Karlsson & Jaakko Kaprio & Eija Kalso, 2016. "Diagnosing Depression in Chronic Pain Patients: DSM-IV Major Depressive Disorder vs. Beck Depression Inventory (BDI)," PLOS ONE, Public Library of Science, vol. 11(3), pages 1-9, March.
    2. Rosario Fernández-Peña & José Luis Molina & Oliver Valero, 2018. "Personal Network Analysis in the Study of Social Support: The Case of Chronic Pain," IJERPH, MDPI, vol. 15(12), pages 1-18, November.
    3. Ware, John E. & Snyder, Mary K. & Wright, W. Russell & Davies, Allyson R., 1983. "Defining and measuring patient satisfaction with medical care," Evaluation and Program Planning, Elsevier, vol. 6(3-4), pages 247-263, January.
    4. Cunningham, L.S. & Kelsey, J.L., 1984. "Epidemiology of musculoskeletal impairments and associated disability," American Journal of Public Health, American Public Health Association, vol. 74(6), pages 574-579.
    Full references (including those not matched with items on IDEAS)

    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. Sohail, Mohammad, 2005. "Accessibility and Quality of Government Primary Health Care: Achievement and Constraints," Bangladesh Development Studies, Bangladesh Institute of Development Studies (BIDS), vol. 31(3-4), pages 63-98, Sept-Dec.
    2. Runtang Meng & Jingjing Li & Yunquan Zhang & Yong Yu & Yi Luo & Xiaohan Liu & Yanxia Zhao & Yuantao Hao & Ying Hu & Chuanhua Yu, 2018. "Evaluation of Patient and Medical Staff Satisfaction regarding Healthcare Services in Wuhan Public Hospitals," IJERPH, MDPI, vol. 15(4), pages 1-17, April.
    3. Waleed Al Nadabi & Mohammed A Mohammed, 2019. "Arabic Language Surveys Measuring Mothers’ Satisfaction During Childbirth: A Review," Global Journal of Health Science, Canadian Center of Science and Education, vol. 11(6), pages 169-169, June.
    4. Mario Alexander Pfannstiel, 2016. "Bayreuth Productivity Analysis—a method for ascertaining and improving the holistic service productivity of acute care hospitals," International Journal of Health Planning and Management, Wiley Blackwell, vol. 31(1), pages 65-86, January.
    5. Xiaojing Fan & Min Su & Yaxin Zhao & Duolao Wang, 2021. "Dissatisfaction with Local Medical Services for Middle-Aged and Elderly in China: What Is Relevant?," IJERPH, MDPI, vol. 18(8), pages 1-12, April.
    6. Prof. Dr. Klaus Bendel & Prof. Dr. Wenzel Matiaske & Prof. Dr. Florian Schramm, 2000. "'Kundenzufriedenheit' bei ambulanten Pflegedienstleistern. Bestandsaufnahme und Vorschläge für ein stresstheoretisch fundiertes Messinstrument," Report 003, Werkstatt für Organisations- und Personalforschung.
    7. Imane Semlali & Gilles Merminod & Orest Weber & Ana Terrier & Isabelle Decosterd & Eve Rubli Truchard & Pascal Singy, 2022. "Friendship in Later Life: How Friends Are Significant Resources in Older Persons’ Communication about Chronic Pain," IJERPH, MDPI, vol. 19(9), pages 1-10, May.
    8. Bikker, Annemieke P. & Thompson, Andrew G.H., 2006. "Predicting and comparing patient satisfaction in four different modes of health care across a nation," Social Science & Medicine, Elsevier, vol. 63(6), pages 1671-1683, September.
    9. John Anderson & Robert Kaplan & Christopher Ake, 2004. "Arthritis Impact on U.S. Life Quality: Morbidity and Mortality Effects From National Health Interview Survey Data 1986–1988 and 1994 Using QWBX1 Estimates of Well-Being," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 69(1), pages 67-91, October.
    10. Mikyung Ryu & Sol Lee & Ho Kim & Weon-Chil Baek & Heejin Kimm, 2020. "Effect of Aerobic Physical Activity on Health-Related Quality of Life in Middle Aged Women with Osteoarthritis: Korea National Health and Nutrition Examination Survey (2016–2017)," IJERPH, MDPI, vol. 17(2), pages 1-11, January.
    11. Rosario Fernández-Peña & José Luis Molina & Oliver Valero, 2020. "Satisfaction with Social Support Received from Social Relationships in Cases of Chronic Pain: The Influence of Personal Network Characteristics in Terms of Structure, Composition and Functional Conten," IJERPH, MDPI, vol. 17(8), pages 1-17, April.
    12. Pan, Jay & Liu, Dan & Ali, Shehzad, 2015. "Patient dissatisfaction in China: What matters," Social Science & Medicine, Elsevier, vol. 143(C), pages 145-153.
    13. María Nieves Rodríguez-Madrid & María del Río-Lozano & Rosario Fernández-Peña & María del Mar García-Calvente, 2021. "Changes in Caregiver Personal Support Networks: Gender Differences and Effects on Health (CUIDAR-SE Study)," IJERPH, MDPI, vol. 18(21), pages 1-15, November.
    14. Barksdale, Hiram Jr. & Johnson, Julie T. & Suh, Munshik, 1997. "A relationship maintenance model: A comparison between managed health care and traditional fee-for-service," Journal of Business Research, Elsevier, vol. 40(3), pages 237-247, November.
    15. Jinlin Liu & Ying Mao, 2019. "Patient Satisfaction with Rural Medical Services: A Cross-Sectional Survey in 11 Western Provinces in China," IJERPH, MDPI, vol. 16(20), pages 1-15, October.
    16. Etter, Jean-Francois & Perneger, Thomas V., 1997. "Quantitative and qualitative assessment of patient satisfaction in a managed care plan," Evaluation and Program Planning, Elsevier, vol. 20(2), pages 129-135, May.
    17. Pflueger, Dane, 2016. "Knowing patients: The customer survey and the changing margins of accounting in healthcare," Accounting, Organizations and Society, Elsevier, vol. 53(C), pages 17-33.
    18. Shah, Mansi B. & Bentley, John P. & McCaffrey III, David J., 2006. "Evaluations of care by adults following a denial of an advertisement-related prescription drug request: The role of expectations, symptom severity, and physician communication style," Social Science & Medicine, Elsevier, vol. 62(4), pages 888-899, February.
    19. Smith, Anne M., 1999. "Some Problems When Adopting Churchill's Paradigm for the Development of Service Quality Measurement Scales," Journal of Business Research, Elsevier, vol. 46(2), pages 109-120, October.
    20. Singh, Jagdip & Cuttler, Leona & Silvers, J. B., 2004. "Toward understanding consumers' role in medical decisions for emerging treatments: Issues, framework and hypotheses," Journal of Business Research, Elsevier, vol. 57(9), pages 1054-1065, September.

    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:19:y:2022:i:5:p:2881-:d:762060. 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.