Perioperative pain management in thyroidectomy: a cross-cultural perspective  

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Perioperative pain management in thyroidectomy: a cross-cultural perspective  
aubreyschachter@gmail.com
Aubrey Schachter, University of Tennessee Health Sciences Center, United States
Grayson Wright, University of Tennessee Health Sciences Center, United States
Kaci DeJarnette, University of Tennessee Health Sciences Center, United States
Devanshi D Patel, University of Tennessee Health Sciences Center, United States
Thias Dos Santos Franklin, University of Tennessee Health Sciences Center, United States
Maria Cecilia Leyson, Ospital Ng Maynila Medical Center, Philippines
Nia ZalameaUniversity of Tennessee Health Sciences Center, United States

Philippines | United States Anaesthesia | General surgery

Keywords: reverse innovation, perioperative, anesthesia strategy, opioid overuse
SUBMITTED: 29.05.2025 PEER REVIEWED IN: United States, Philippines PUBLISHED ONLINE: 28.04.2026
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ABSTRACT

Background: Perioperative pain management is constantly evolving, with recent advances trending toward multimodal techniques to decrease overall narcotic use. The intersection of culture and perioperative pain control is not well studied. Our study evaluates perioperative anesthesia and pain management strategies in Low-to-Middle Income Countries (LMIC) as compared to High-Income Countries (HIC). We hypothesized that postoperative pain scores and narcotic use would be different between the two settings. 
Methods: A retrospective chart review was performed on patients undergoing thyroidectomy on a medical mission trip to Carmona, Cavite, Philippines and at a tertiary medical center in Memphis, Tennessee, USA. Institutional review board approval was obtained from both institutions. Variables included operation, indication, anesthesia modalities, narcotic use in morphine milligram equivalents (MME), and postoperative pain scores. Univariate analyses were completed to compare narcotic use and postoperative pain scores between patients in HIC and LMIC settings. 
Results: Forty-four patients were included for analysis. Sixteen patients underwent total thyroidectomy and twenty-eight underwent partial thyroidectomy. Patients in LMIC settings received less non-narcotic anesthetic modalities (3 vs 4, p < 0.01) and less MME (30 vs 60, p 0.05). 
Conclusion: In this small observational study, patients undergoing thyroid operations in HIC settings were administered more diverse anesthetic modalities, and despite comparable postoperative pain scores, received higher total MME than patients in LMIC settings. These differences suggest that the relationship between perioperative narcotic use and postoperative pain is variable and may not be directly correlated in patients undergoing thyroidectomy. Differences in cultural or institutional practices may influence perioperative narcotic prescribing in these settings.

Introduction

The management of perioperative pain in surgical patients has undergone much scrutiny and study. Adequate perioperative pain management can dramatically alter patient experience, hospital length of stay, and postoperative pain medication requirements. Especially in the wake of the opioid epidemic, there has been an emphasis on multimodal analgesia (MMA), including regional and systemic non-opioid strategies. MMA has been shown to improve postoperative outcomes, and its use has become increasingly utilized[1]. Despite this, many patients receive intraoperative and postoperative narcotics, even with relatively minor operations. 

There are many qualitative factors that can influence a patient’s experience of perioperative pain, including preoperative pain, anxiety, age, and type of surgery. Many of these factors are correlated with increased pain medication usage in the perioperative period[2]. While these factors have been well-studied, the intersection of culture and perioperative pain control has not been closely examined.  

Our study evaluates perioperative anesthesia and pain management strategies in a Low-to-Middle Income Country (LMIC) as compared to a High-Income Country (HIC), with the hypothesis that differences will exist both in anesthesia strategies and in patient pain perception in the perioperative setting.

Methodology

This study included a retrospective analysis of two patient cohorts. The first cohort consisted of patients who received surgical care during a medical mission trip to Carmona, Cavite, Philippines in February 2024. These patients were selected consecutively based on the availability of complete data records. The second cohort was selected from the electronic medical record of a tertiary medical center in Memphis, Tennessee and included cases from September 2023 to February 2024. These cases were selected consecutively in reverse chronological order until the same number of cases were obtained, matching by procedure type (partial vs. total thyroidectomy) to ensure that operative complexity was similar between groups. No further matching was completed due to the size of available case volume. This approach was used to minimize selection bias and ensure comparable procedure cohorts. Baseline characteristics of age, gender, and operative indication were collected. 

 Institutional review board approval was obtained from both institutions.  Cases performed in the Philippines were categorized as LMIC, and those performed in the USA were categorized as HIC. Variables collected included patient demographics (age, gender), type of operation (partial or total thyroidectomy), indication (Graves disease, thyroid goiter, thyroid nodule, thyroid cancer), anesthesia modalities, narcotic use in morphine milligram equivalents (MME), and postoperative pain scores as recorded in the electronic medical record or paper medical records. Pain scores in the LMIC setting were determined with the Wong-Baker FACES Pain Rating Scale in Tagalog (0-10). Pain scores in the HIC setting were determined with the Numerical Pain Rating Score (0-10).

Due to small sample size, categorical variables were compared with Fisher’s exact test or the Fisher-Freeman-Halton exact test depending on the number of categories. Continuous variables were summarized as means or medians with interquartile range and were compared with Student’s t-test or Wilcoxon rank-sum test depending on distribution. A p-value < 0.05 was considered statistically significant. Statistical analyses were performed using SAS version 9.4 (SAS Institute Inc., Cary, NC, USA).

Results

Twenty-two patients were selected for analysis in the LMIC setting within the study period, and these cases were matched with 22 cases in the HIC setting. Eight patients underwent total thyroidectomy and 14 underwent partial thyroidectomy in each cohort. The cohorts were each similar in age and gender, and for indication in total thyroidectomy. Surgical indication in partial thyroidectomy was significantly different in the LMIC group, who were more commonly diagnosed with goiter, as compared to the HIC group, who were more likely to have a nodule, as summarized in Table 1 (p 0.05).

All patients underwent general endotracheal anesthesia by either an anesthesiologist or certified registered nurse anesthetist (CRNA), and each physician and CRNA had been trained in the HIC setting. Patients undergoing total thyroidectomy in the LMIC setting received a median dose of 30 MME (IQR, 22.5 – 37.5) in the perioperative period, as compared to 77.5 MME (IQR, 50 – 105) for HIC patients (p = 0.004). A similar trend was observed in partial thyroidectomy, with 30 MME (IQR, 15-30) in LMIC patients and 50 MME (IQR, 40 – 80) in HIC patients (p = 0.002). These differences are driven by narcotic use both intraoperatively and postoperatively, as seen in Figure 2. 

Available anesthesia modalities were similar between the two settings, and included the following medication options.

  • Intraoperative non-narcotic sedatives: propofol, ketamine, midazolam, dexmedetomidine
  • Intraoperative non-narcotic pain medications: acetaminophen, ketorolac, lidocaine, dexamethasone
  • Intraoperative narcotic pain medications: hydromorphone, morphine, fentanyl
  • Post-anesthesia care unit (PACU) medications: intravenous narcotics, oral narcotics, non-narcotics
  • Discharge medications: acetaminophen, tramadol, and oxycodone-paracetamol

 Providers in the LMIC setting more commonly used adjunctive ketamine and acetaminophen, whereas providers in the HIC setting more often used dexmedetomidine, intravenous lidocaine, dexamethasone, and hydromorphone. Local anesthesia was used in the LMIC setting but not the HIC setting. A comparison of all perioperative anesthesia strategies is summarized in Table 2. The difference in strategies can be clearly seen, but should be interpreted cautiously given the small sample sizes. These findings reflect the difference in practice patterns and resource availability, even when all anesthesia providers underwent similar HIC training. Overall, patients in LMIC settings received fewer intraoperative non-narcotic anesthetic modalities (3 vs 4, p<0.01) and less total MME (30 vs 60, p < 0.01), despite equivalent postoperative pain scores. 

Table 1. Demographic comparisons of patients undergoing partial and total thyroidectomy between LMIC and HIC settings.
Total Thyroidectomy
Characteristic LMIC (n = 8) HIC (n = 8) p-value
Age 45.9 44.5 0.82
Female, n (%) 7 (87.5%) 7 (87.5%) 1.00
Indication  0.15 
Graves disease 0 (0%) 3 (37.5%)
Goiter 6 (75%) 3 (37.5%)
Cancer 2 (25%) 2 (25%)
Partial Thyroidectomy
Characteristic LMIC (n = 14) HIC (n = 14) p-value
Age 40.7 49.6 0.11
Female, n (%) 14 (100%) 12 (80%) 0.48
Indication  <0.001
Goiter 13 (93%) 2 (14.3%)
Nodule 0  (0%) 9 (64.3%)
Cancer 1 (7%) 3 (21.4%)
   
Figure 1: Average postoperative pain score in patients undergoing partial or total thyroidectomy in HIC and LMIC settings.
Figure 2: Perioperative narcotic use in partial or total thyroidectomy in HIC and LMIC settings.
Discussion

This study found that patients who underwent thyroid surgery in both LMIC and HIC settings had comparable postoperative pain scores, despite less narcotic use and less diverse anesthesia modalities in LMIC patients. These results both complement and challenge the current understanding of perioperative pain management. There are many potential explanations for these findings, which will require further investigation to better understand. 

Cultural differences between the two patient populations are likely to play a role. Prior research has shown that cultural and ethnic background play a large role in pain perception, and that there are very different expectations for pain between all cultures[3]. Patients may also approach surgical care with a different set of expectations—particularly during mission trips, where the perceived value of receiving care at all may influence patient satisfaction and perception of pain. In contrast, HIC patients may expect complete relief of discomfort as a standard of care and may have a lower threshold of pain tolerance as a result. Interwoven with these expectations are the behaviors of the medical team. Physicians who work in systems where reimbursements are tied to patient satisfaction metrics may feel pressure to aggressively treat pain and utilize opioids to avoid patient complaints, despite studies showing that decreasing opioid prescriptions does not impact patient satisfaction scores in a meaningful way[4,5]. Physicians in LMIC and mission settings are not impacted by this system and so can focus more on effective resource management. 

Resource limitations are inherent to LMIC settings, which requires reliance on innovative therapies and efficiency of resource management. The data above demonstrates that local anesthesia is more commonly used in LMIC settings, suggesting that this easily available and relatively inexpensive modality may be used in place of more expensive systemic therapies as a strategy to manage resources. Local anesthesia also has a lower risk of systemic adverse effects and can reduce the need for perioperative narcotic use. 

These findings must be considered in the context of their collection. Pain is inherently subjective, and the two cohorts utilized different pain rating scales to evaluate postoperative pain. While the Numerical Pain Rating Score scale (used in the HIC setting) has been shown to be successfully translated across cultures, the FACES Pain Scale (used in the LMIC setting) has been shown to be more preferred when evaluating pain in developing countries[6,7]. While these tools are validated, and data shows strong correlation between the two scales, pain rating remains subjective and patient-reported outcomes using two different scales should warrant careful interpretation[8]. Additionally, it is important to consider that the distribution of case indication differed in patients undergoing partial thyroidectomy, with HIC patients more commonly having a nodule as compared to LMIC patients who had goiter. This difference may have influenced perioperative decision-making and confounded results due to differences in operative technique. Importantly, however, lower opioid use was seen in both total and partial thyroidectomy groups, suggesting that surgical technique may not completely explain these findings. Finally, long-term outcomes, such as outpatient pain scores, patient experience metrics, and long-term opioid dependence, were not collected, limiting our understanding of longitudinal effects of perioperative pain management.

Conclusion

Given the small sample size and observational nature of the study, the results should be interpreted cautiously and as hypothesis-generating instead of definitive. The findings do provide a framework for future work investigating the interplay between culture and pain management. While LMIC settings are often considered less resourced, which can sometimes be inaccurately equated to less effective, LMIC strategies may represent an opportunity for investigation of alternate practices. Further prospective and controlled studies are required to better understand the relationship between perioperative opioid use and pain outcomes across different settings. 

REFERENCES
1. Chen Q, Chen E, Qian X. A Narrative Review on Perioperative Pain Management Strategies in Enhanced Recovery Pathways-The Past, Present and Future. J Clin Med. 2021 Jun 10;10(12):2568. doi: 10.3390/jcm10122568. PMID: 34200695; PMCID: PMC8229260. [crossref]
2. Ip HY, Abrishami A, Peng PW, Wong J, Chung F. Predictors of postoperative pain and analgesic consumption: a qualitative systematic review. Anesthesiology. 2009 Sep;111(3):657-77. doi: 10.1097/ALN.0b013e3181aae87a. PMID: 19672167 [crossref]
3. Rogger R, Bello C, Romero CS, Urman RD, Luedi MM, Filipovic MG. Cultural Framing and the Impact On Acute Pain and Pain Services. Curr Pain Headache Rep. 2023 Sep;27(9):429-436. doi: 10.1007/s11916-023-01125-2. Epub 2023 Jul 5. PMID: 37405553; PMCID: PMC10462520 [crossref]
4. Zgierska A, Rabago D, Miller MM. Impact of patient satisfaction ratings on physicians and clinical care. Patient Prefer Adherence. 2014 Apr 3;8:437-46. doi: 10.2147/PPA.S59077. PMID: 24729691; PMCID: PMC3979780 [crossref]
5. Louie CE, Kelly JL, Barth RJ. Association of Decreased Postsurgical Opioid Prescribing With Patients’ Satisfaction With Surgeons. JAMA Surg. 2019;154(11):1049–1054. doi:10.1001/jamasurg.2019.2875 [crossref]
6. Sharma S, Palanchoke J, Reed D, Haxby Abbott J. Translation, cross-cultural adaptation and psychometric properties of the Nepali versions of numerical pain rating scale and global rating of change. Health Qual Life Outcomes. 2017 Dec 4;15(1):236. doi: 10.1186/s12955-017-0812-8. PMID: 29202878; PMCID: PMC5715544. [crossref]
7. Pathak A, Sharma S, Jensen MP. The utility and validity of pain intensity rating scales for use in developing countries. Pain Rep. 2018 Aug 6;3(5):e672. doi: 10.1097/PR9.0000000000000672. PMID: 30534623; PMCID: PMC6181466 [crossref]

Supplementary material

Table 2. Perioperative management strategies in patients undergoing partial and total thyroidectomy between LMIC and HIC settings. i.o. = intraoperative, p.o. = postoperative.
Modality LMIC (n = 22)  HIC (n = 22) p-value
Ketamine 9 (40.9%) 0 (0%) 0.001
Dexmedetomidine 0 (0%) 10 (45.5%) 0.001
Intravenous lidocaine 0 (0%) 22 (100%) <0.001
Dexamethasone 7 (31.8%) 18 (81.8%) 0.001
Acetaminophen (i.o.) 14 (63.6%) 1 (4.5%) <0.001
Ketorolac (i.o.) 2 (9.1%) 18 (81.8%) <0.001
Local anesthetic  13 (59.1%) 0 (0%) < 0.001
Hydromorphone  0 (0%) 16 (72.7%) <0.001
Fentanyl 22 (100%) 21 (95.5%) 1.00
Tramadol  1 (4.5%) 7 (31.8%) 0.05
Acetaminophen (p.o.) 4 (18.2%) 11 (50.0%) 0.06
Ketorolac (p.o.) 3 (13.6%) 0 (0%) 0.23
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