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Objective: To enhance the awareness that biased pain estimation may undermine its treatment, we sought to determine the congruence categories (CCs) between inpatient self-reported pain (PSRP) and nurse pain-evaluation (NEP) and to look for associations between CCs and inpatient and situational moderators., Design: A point cross-sectional survey., Subjects: The inpatient population [(n=869), > or = 6 years old and hospitalised for at least 24h] and n=115 nurses of the University of Bologna's teaching hospital, Italy., Measures: Using numerical rating scale, inpatients self-reported their pain while nurses indirectly rated these patients' pain using information acquired during their professional activity prior to the study and by reviewing patients' medical charts., Outcome Measures: Congruence moderator data were: gender, age, marital status, clinical area and length of hospital stay. The study was set to assess: PSRP-NEP mean of absolute difference (MAD), agreement and correlation; and to analyse the CCs dependence upon the PSRP and the congruence moderator variables., Results: PSRP-NEP agreement and correlation were mild and moderate, respectively, while their MAD=2.0 (95% CI 1.8-2.2). Congruence was found in 50% of the cases. Under-estimation (21%) was directly proportional to the PSRP severity, while congruence and over-estimation (29%) were inversely proportional to it. The 'PSRP effect' on the CCs detected was further modulated by the moderators studied., Conclusions: PSRP-NEP congruence was limited while CCs were associated with PSRP, inpatient and situational moderators. Further prospective studies are needed to verify generalization and whether the studied moderators operate through patient stereotyping mechanisms. Awareness of the influence of such mechanisms on pain evaluation may ameliorate pain assessment.

Pain prevalence among inpatients is an important indicator of quality care; it may reach over 80% in various clinical settings. A cross-sectional survey was conducted in a teaching hospital to depict benchmark data regarding pain prevalence and predictors among the entire inpatient population. Overall 892 patients, 6 years old and hospitalized for at least 24 h in 57 hospital wards were interviewed using an internationally applied questionnaire. Patients self-reported their pain intensity at the time of the interview (T(0)) and worst pain perceived during the previous 24 h (T(-1)), using a numerical rating scale (NRS) and indicated current pain duration. Specific pain predictor data (hospital stay, gender, age and marital status) were obtained from patient medical charts. Pain prevalence at T(0) was 38% and 52% at T(-1). Pain was moderate to severe (NRS4) in approximately 25% of the patients at T(0) and in 40% at T(-1). High pain prevalence was found (at T(0) and T(-1), respectively) in Radiotherapy (63%;77%), Obstetrics (68%;54%), and Surgery (59%;45%) wards. Gender was a prominent determinant as pain was significantly associated with females. Pain prevalence was high among young adults or divorced/separated individuals and low among pediatric patients ( approximately 20%). Protracted hospitalization and prolonged pain duration were associated with major pain severity. Results yield Quality Assurance interventions to ameliorate pain undertreatment. Predictor analysis suggests that attention should be paid to pain management in young adults, socially vulnerable patients and those with protracted hospitalization and pain.