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Background: Patients provide a unique, irreplaceable, and essential perspective in evaluating patient safety. The suite of Patient Reported Experiences and Outcomes of Safety in Primary Care (PREOS-PC) tools are a notable exception to the scarcity of patient-reported patient safety measures. Full evaluation of their performance has only been attempted for the English version, thereby limiting its international applicability., Objectives: To assess the psychometric performance of the Spanish and Catalan versions of the PREOS-PC-Compact., Methods: Cross-sectional validation study. We used Classical Test Theory methods to examine scale score distribution, internal consistency, and construct validity; and Item Response Theory (IRT) methods to further explore construct validity., Results: 3287 patients completed the Spanish version, and 1007 the Catalan version. Similar results were obtained for both versions. Confirmatory Factor Analysis supported a single construct for each scale. The correlations between PREOS-PC-Compact scales and known group analysis suggested adequate construct validity (inconclusive for known groups at the provider level). All four multi-item scales demonstrated adequate internal consistency reliability (α > 0.7), which was only confirmed for test-retest reliability for 'Practice activation.' A sample between 60-90 patients per practice was estimated sufficient to produce scores with reliability > 0.7 for all scales except for harm scales. IRT models showed disordered thresholds for 'Practice activation' and 'Harm burden' but showed excellent fit after reducing the response categories., Conclusion: The Spanish and Catalan versions of the PREOS-PC-Compact are broadly valid and reliable tools to measure patient safety in Spanish primary care centres; confirmation of lower-than-expected test-rest reliability merits further examination .

Background: A better understanding of patient non-adherence to type 2 diabetes medication is needed to design effective interventions to address this issue., Objectives: (1) To estimate the prevalence of non-adherence to diabetes medication; (2) to examine its impact on glycemic control and insulin initiation; (3) to develop and validate a prediction model of non-adherence., Methods: We conducted a longitudinal cohort study based on data from electronic health records. We included adult patients registered within the Health Service of the Balearic Islands (Spain) starting a new prescription of a non-insulin glucose-lowering drug between January 2016 and December 2018. We calculated non-adherence at 12 months follow-up, defined as medication possession ratio (MPR) ≤ 80%. We fitted multivariable regression models to examine the association between non-adherence and glycemic control and insulin initiation and identified predictors of non-adherence., Results: Of 18,119 patients identified, after 12 months follow-up, 5,740 (31.68%) were non-adherent. Compared with non-adherent, adherent patients presented lower HbA1c levels (mean difference = -0.32%; 95%CI = -0.38%; -0.27%) and were less likely to initiate insulin (aOR = 0.77; 95%CI = 0.63; 0.94). A predictive model explained 22.3% of the variation and presented a satisfactory performance (AUC = 0.721; Brier score = 0.177). The most important predictors of non-adherence were: non-Spanish nationality, currently working, low adherence to previous drugs, taking biguanides, smoker and absence of hypertension., Conclusion: Around one-third of the patients do not adhere to their non-insulin glucose-lowering drugs. More research is needed to optimise the performance of the predicting model before considering its implementation in routine clinical practice.