Patients needing language assistance reported lower average POD 1 pain (2.4 vs 2.8, p=0.004) after matching

Description #

In the propensity-score-matched cohort (295 per group), average pain intensity on postoperative day 1 (POD 1) was significantly lower among patients who needed language assistance services (LAS) than among those who did not: median 2.4 (IQR 1.3–3.5) vs 2.8 (IQR 1.7–3.9); p = 0.0041 (Table 2). As with PACU pain, the authors note the difference was not clinically relevant.

"Similarly, pain scores on day 1 after surgery were significantly lower in English-proficient patients than those who needed translation services, but once again, the difference was not clinically relevant." (Kapoor, 2023, p. 4)

Source inconsistency (flagged): the prose above states POD 1 pain was "lower in English-proficient patients," but Table 2 reports the opposite — median POD 1 pain of 2.4 for LAS-needing patients vs 2.8 for English-proficient patients (both pre- and post-matching), i.e., LAS-needing patients had lower POD 1 pain. The Description above follows the Table 2 values.

Methods Context #

What? #ⓘ

The observable: average pain intensity on postoperative day 1, on the 0–10 verbal numeric rating scale (the study's primary endpoint measured at a later timepoint).

"The primary endpoint of the study was pain intensity (verbal numeric rating scale 0: no pain and 10: worst pain ever)." (Kapoor, 2023, p. 2)

How? #ⓘ

Retrospective cohort with propensity-score matching; continuous pain distributions compared with the Wilcoxon rank-sum test.

"Wilcoxon rank-sum test was used to compare location parameters of continuous distributions between patient groups." (Kapoor, 2023, p. 2)

Who? #ⓘ

The propensity-matched cohort of 590 adults (295 per group) undergoing open abdominal oncologic surgery at a single academic cancer center, 2016–2021.

"After matching, a total of 590 patients (n = 295 per group) were included in the analysis." (Kapoor, 2023, p. 5)

Other Notes #

Average POD 1 pain (Table 2): pre-matching 2.8 vs 2.4, p < 0.0001; post-matching 2.8 vs 2.4, p = 0.0041 (LAS-No vs LAS-Yes). The directional wording in Section 3.1 contradicts the table and is flagged above and in the extraction report.

Caveats #

• Statistically significant pain and opioid differences were likely not clinically significant The statistically significant differences in pain intensity (and the corresponding opioid difference) were very small — under 1 unit on the 0–10 scale — and, by the authors' own assessment, may not be clinically significant. A significant p-value here reflects the large sample rather than a meaningful clinical effect, so the lower pain scores in LAS-needing patients should not be over-interpreted as a clinically important benefit.
• Retrospective single-institution cancer-center study with residual confounding The study is retrospective and conducted at a single cancer center, so its estimates are vulnerable to residual confounding from unmeasured variables that could have influenced opioid-prescribing and pain outcomes, and its findings are tied to institution-specific practices (types of surgeries and regional anesthesia techniques). Although propensity-score matching reduced measured baseline imbalance, no prior sample-size analysis was performed and unknown confounders remain. This limits causal interpretation and external generalizability of the pain, opioid, and regional-anesthesia associations.
• Cultural differences in numeric pain-scale psychometrics could bias reported scores Pain was measured with a numeric verbal rating scale whose interpretation may vary across languages and cultures. Cultural differences in how patients understand and report numbers on the scale could have systematically biased the reported pain scores between the LAS-needing and English-proficient groups, threatening measurement equivalence and thus the validity of the between-group pain comparisons.
• Actual mode and use of interpreters could not be determined; LAS need is a proxy The exposure is the need for language assistance services (recorded when a patient asked for an interpreter at their first encounter), not verified interpreter utilization. The actual use and mode of interpretation — phone, videoconferencing, or in-person — could not be retrospectively determined. Because interpreter modality and whether an interpreter was actually deployed at the point of pain assessment are unknown, the observed pain and opioid differences cannot be attributed to any specific form or dose of language assistance.