Chronic Pain Management Approaches among Spanish Physiotherapists: Influences, Practices, Barriers, and Challenges
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Design and Participants
2.2. Ethical Approval and Data Protection
2.3. Data Collection Procedure
2.4. Measurements
- (a)
- Sociodemographic, professional, and contextual variables
- (b)
- Questionnaires for chronic pain assessment
- Pain attitudes and beliefs scale for physiotherapists (PABS-PT)
- Healthcare providers and impairment relationship scale (HC-PAIRS)
- Revised neurophysiology pain questionnaire (R-NPQ)
- Knowledge and attitudes of pain (KNAP)
- (c)
- Self-reported measures
- (d)
- Final open-ended question
2.5. Assessment of Chronic Pain Treatment Orientations
2.6. Dependent and Independent Variables
- (a)
- Outcome measures
- (b)
- Independent variables
2.7. Sample Size Calculation
2.8. Data Analysis
3. Results
3.1. Evaluation of Chronic Pain Treatment Approaches among Spanish Physiotherapists
3.1.1. Validation of the Combined Variables
3.1.2. Descriptive Analysis of the Three Combined Variable Scores
3.1.3. Categorization of Global Treatment Approaches among Spanish Physiotherapists
3.2. Identification Factors Influencing Attitudes toward Biomedical and Biopsychosocial Approaches
3.3. Results of the MANCOVA Analysis
3.4. Self-Reported Outcomes on BPS Implementation Frequency, Skills, and Confidence
3.5. Predicting the Frequency of BPS Approach Implementation
3.6. Self-Reported Barriers to the Implementation of the BPS Approach
4. Discussion
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Variable | Cases (%) | Median (IQR) | Range |
---|---|---|---|
Gender | |||
Female | 268 (59.9) | ||
Male | 179 (40.1) | ||
Age (years) | 31 (26, 37) | ||
Work experience (years) | 11 (9, 18) | ||
Years since graduation (years) | 12 (10, 19) | ||
Type of employment | |||
Public sector (Hospital) | 70 (15.7) | ||
Public sector (Health centre) | 126 (28.2) | ||
Private sector employment | 229 (51.2) | ||
Self-employed private sector | 22 (4.9) | ||
Specific training in chronic pain | |||
None | 93 (20.8) | ||
Less than or equal to 5 h | 132 (29.5) | ||
Between 6–10 h | 89 (19.9) | ||
Between 11–15 h | 42 (9.4) | ||
More than 15 h | 91 (20.4) | ||
Highest educational level | |||
Bachelor’s degree | 137 (30.6) | ||
Master’s degree | 283 (63.3) | ||
PhD student or PhD | 27 (6.1) | ||
Work setting | |||
Primarily solo practice | 108 (24.2) | ||
Working with other PTs | 217 (48.5) | ||
Multidisciplinary collaboration | 66 (14.8) | ||
Interdisciplinary teamwork | 56 (12.5) | ||
Familiarity with implementing EBP | |||
Yes | 233 (52.1) | ||
No | 214 (47.9) | ||
RNPQ | 7 (5, 9) | (0–12) | |
HC-PAIRS | 58 (53, 75) | (15–105) | |
PABS-PT | |||
BM Factor | 22 (20, 27) | (8–48) | |
BPS Factor | 25 (22, 28) | (5–30) | |
KNAP | |||
KNAP-Pain physiology | 64 (56, 86) | (0–84.36) * | |
KNAP-Treatment | 42 (36, 49) | (0–65.36) * |
Number of Physiotherapists (n) | Percentage (%) | Summary of Categories | |
---|---|---|---|
Purely biomedical approach | 0 | – | Biomedical: 32.8% |
More biomedical approach | 147 | 32.8 | |
Neutral approach | 76 | 17.0 | Neutral: 17.0% |
More biopsychosocial approach | 154 | 34.5 | Biopsychosocial: 50.2% |
Purely biopsychosocial approach | 70 | 15.7 |
BM Approach | BPS Approach | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Bivariate Analysis | Correlations | Bivariate Analysis | Correlations | ||||||||
Independent Variables | Reference Category | Mean ± SD | F | p-Value | r Pearson | p-Value | Mean ± SD | F | p-Value | r Pearson | p-Value |
Work setting: Primarily solo practice * | Interdisciplinary teamwork | 0.56 ± 1.60 | 48.668 | 0.001 | - | - | −0.69 ± 1.59 | 52.345 | 0.001 | - | - |
Work setting: Working with other PTs * | 0.09 ± 1.68 | - | - | −0.02 ± 1.67 | - | - | |||||
Work setting: Multidisciplinary collaboration * | 0.76 ± 1.57 | - | - | −0.77 ± 1.64 | - | - | |||||
Highest educational level: Bachelor degree * | PhD student or PhD | 0.43 ± 1.64 | 31.529 | <0.05 | - | - | −0.34 ± 1.70 | 43.968 | 0.001 | - | - |
Highest educational level: Master degree * | −0.40 ± 1.72 | - | - | 0.38 ± 1.81 | - | - | |||||
Specific training in CP: No specific training in CP * | More than 15 h | 2.78 ± 1.72 | 24.850 | 0.001 | - | - | −0.72 ± 1.63 | 16.770 | <0.05 | - | - |
Years since graduation | N/A | - | - | - | 0.25 | <0.01 | - | - | - | −0.14 | <0.05 |
Age (years) | N/A | 0.19 | <0.01 | −0.13 | <0.05 | ||||||
Work experience (years) | N/A | 0.22 | <0.01 | −0.14 | <0.05 | ||||||
CP knowledge score (standardized) | N/A | - | - | - | −0.62 | <0.01 | - | - | - | 0.70 | <0.01 |
Independent Variable | Wilks’ Lambda | F-Value | p-Value | df | Global Partial η² | Partial η² by Dependent Variable | Beta Coefficient | t | p-Value | Adjusted R2 | Post-Hoc Comparisons | ||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Total BM | Total BPS | ||||||||||||||
Chronic pain knowledge score | 0.616 | 106.468 | <0.001 | 104, 343 | 0.412 | 0.221 * | 0.326 * | BM | −0.482 | −11.083 | <0.001 | - | N/A | ||
BPS | 0.574 | 14.460 | <0.001 | ||||||||||||
Work setting | 0.910 | 6.971 | <0.001 | 3, 343 | 0.046 | 0.064 * | 0.038 * | - | - | - | - | Interdisciplinary teamwork < other categories (BM)* | Interdisciplinary teamwork > other categories (BPS )* | ||
Years since graduation | 0.926 | 5.621 | <0.001 | 3, 343 | 0.038 | 0.045 * | 0.012 | - | - | - | - | More of 20 years > all other categories (BM)* Less than 5 years > 6–10 years, 11–20 years (BM)* | |||
Highest educational level | 0.951 | 5.513 | <0.001 | 2, 343 | 0.027 | 0.008 | 0.038 * | - | - | - | - | PhD student or PhD > other categories (BPS)* | |||
Specific training in chronic pain | 0.967 | 4.692 | 0.03 | 4, 343 | 0.023 | 0.016 * | 0.008 | - | - | - | - | No training > other categories (BM)* | |||
Overall model | Total BM score | - | 5.289 | <0.001 | 104, 343 | 0.516 | - | - | - | - | - | 0.46 | N/A | ||
Total BPS score | - | 5.657 | <0.001 | 104, 343 | 0.622 | - | - | - | - | - | 0.55 |
Variables | Bivariate Analysis | Correlations | Ordinal Regression Model | |||||||
---|---|---|---|---|---|---|---|---|---|---|
95% CI for OR | ||||||||||
H | p-Value | Rho Spearman | p-Value | Reference Category | B (SE) | p-Value | Odds Ratio | Lower Bound | Upper Bound | |
Self-reported skills | 261.968 | <0.001 | - | - | Very good | 2.467 (1.61) | <0.001 | 11.785 | 7.893 | 17.595 |
Self-reported confidence | 165.917 | <0.001 | - | - | Very confident | 0.828 (0.58) | <0.001 | 2.290 | 1.648 | 3.181 |
CP knowledge score (standardized) | - | - | 0.45 | <0.001 | - | 0.290 (0.06) | <0.001 | 1.336 | 1.172 | 1.524 |
Specific training in CP | 39.364 | <0.001 | - | - | More than 15 h | 0.279 (0.83) | 0.03 | 1.321 | 1.028 | 1.699 |
Highest education level | 34.074 | <0.001 | - | - | PhD student or PhD | NS | NS | NS | NS | NS |
Work setting | 20.286 | <0.001 | - | - | Interdisciplinary teamwork | NS | NS | NS | NS | NS |
Model fit statistics | Fit index | p-value | ||||||||
Nagelkerke’s R2 | - | - | - | - | - | - | - | - | 0.71 | - |
Chi square-statistic | - | - | - | - | - | - | - | - | 487.844 | <0.001 |
Adjusted model with interactions | ||||||||||
Self-reported skills | 261.968 | <0.001 | - | - | Very good | 3.028 (1.45) | <0.001 | 20.652 | 8.440 | 50.533 |
Self-reported confidence | 165.917 | <0.001 | - | - | Very confident | 1.430 (0.43) | 0.002 | 4.178 | 1.679 | 10.397 |
CP knowledge score (standardized) | - | - | 0.45 | <0.001 | - | 0.289 (0.07) | <0.001 | 1.335 | 1.170 | 1.522 |
Specific training in CP | 39.364 | <0.001 | - | - | More than 15 h | 0.285 (0.81) | 0.024 | 1.330 | 1.038 | 1.704 |
Skills × Confidence interaction | - | - | - | - | - | 0.135 (1.23) | 0.041 | 1.119 | 1.018 | 1.679 |
Model fit statistics with interactions | Fit index | p-value | ||||||||
Nagelkerke’s R2 | - | - | - | - | - | - | - | - | 0.74 | - |
Chi square-statistic | - | - | - | - | . | - | - | - | 532.449 | <0.001 |
Barrier identified | Frequency (%) | Subthemes Identified |
---|---|---|
Lack of psychological skills | 63.6 | Deficient training in effective communication techniques. Insecurity in implementing psychological interventions. Unfamiliarity with patient coping strategies. |
Challenges in multidisciplinary coordination | 47.6 | Institutional barriers to interprofessional collaboration. Lack of understanding of each professional’s role in pain management. Logistical difficulties in organizing multidisciplinary meetings. Divergence in objectives among professionals. |
Time constraints | 43.6 | Pressure to manage high patient volumes. Insufficient session time dedicated to patient education. Prioritization of quick, localized treatment interventions over comprehensive approaches. |
Patients’ erroneous attitudes | 34.2 | Resistance to accepting the BPS model due to preconceptions. Preference for medical (medication) or surgical interventions. Challenges in patient behaviour change and self-care adoption. |
Insufficient knowledge of chronic pain management | 31.7 | Need for specialized training. Limited access to current educational resources. Difficulty in staying updated with current research. |
Other barriers | 14.8 | Healthcare system limitations include funding or policies not favouring the BPS approach. Lack of suitable spaces for conducting BPS interventions. |
Difficulty in translating theory into practice | 10.6 | Discrepancies between received education and real clinical demands. Lack of practical examples during training. Uncertainty in applying theoretical concepts. |
Lack of interest | 7.9 | A general acceptance of the BPS approach’s value, shifting the focus towards other pathologies. |
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© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
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Díaz-Fernández, Á.; Cortés-Pérez, I.; Obrero-Gaitán, E.; Ortega-Martínez, A.R.; Osuna-Pérez, M.C.; Zagalaz-Anula, N.; Lomas-Vega, R. Chronic Pain Management Approaches among Spanish Physiotherapists: Influences, Practices, Barriers, and Challenges. J. Pers. Med. 2024, 14, 903. https://doi.org/10.3390/jpm14090903
Díaz-Fernández Á, Cortés-Pérez I, Obrero-Gaitán E, Ortega-Martínez AR, Osuna-Pérez MC, Zagalaz-Anula N, Lomas-Vega R. Chronic Pain Management Approaches among Spanish Physiotherapists: Influences, Practices, Barriers, and Challenges. Journal of Personalized Medicine. 2024; 14(9):903. https://doi.org/10.3390/jpm14090903
Chicago/Turabian StyleDíaz-Fernández, Ángeles, Irene Cortés-Pérez, Esteban Obrero-Gaitán, Ana Raquel Ortega-Martínez, María Catalina Osuna-Pérez, Noelia Zagalaz-Anula, and Rafael Lomas-Vega. 2024. "Chronic Pain Management Approaches among Spanish Physiotherapists: Influences, Practices, Barriers, and Challenges" Journal of Personalized Medicine 14, no. 9: 903. https://doi.org/10.3390/jpm14090903
APA StyleDíaz-Fernández, Á., Cortés-Pérez, I., Obrero-Gaitán, E., Ortega-Martínez, A. R., Osuna-Pérez, M. C., Zagalaz-Anula, N., & Lomas-Vega, R. (2024). Chronic Pain Management Approaches among Spanish Physiotherapists: Influences, Practices, Barriers, and Challenges. Journal of Personalized Medicine, 14(9), 903. https://doi.org/10.3390/jpm14090903