Lee J, Choi E, Choo E, Linda S, Jang EJ, Lee I-H. Relationship between continuity of care and clinical outcomes in patients with dyslipidemia in Korea: a real world claims database study. Sci Rep. 2022;12:3062. https://doi.org/10.1038/s41598-022-06973-3. For 6 of the 26 studies included in the data set, no information about ethnicity was available. Therefore, for the 223 subjects from these six studies, the imputed ethnicity was ‘non-Hispanic’ (the most frequent value among the subjects with ethnicity information). The CYP2C9 genotype was missing for 84 of the subjects and was imputed as ‘extensive metaboliser’ (EM). For CYP2C19 and CYP2D6, 13 and 12 subjects had missing data, respectively; these were imputed as ‘extensive metaboliser’ (EM). For the continuous covariates, the following were missing: ALAT (6 subjects), ASAT (6 subjects) and bilirubin (18 subjects). All missing continuous covariates were imputed using the median value. Few studies used subjective COC measures [ 53, 55, 68]. While these patient-reported measures are more susceptible to bias than objective COC measures, subjective measures are a valuable supplement to objective measures relying on claims data. Overall, our findings on utilized measures of COC are consistent with other studies showing that objective COC measures referring to relational continuity are most commonly used [ 24, 26, 33]. DID and DDI numbers don't have to be within a specific range. While in the past, they were issued in this way, that's not the case with the latest VoIP phone systems. You and your team can have DDI numbers in any town, city or country worldwide. This flexibility allows you to present a local image to customers wherever your office is based. 4. Improved productivity

Moreover, we analyze the training efficiency of the proposed SA-DDI in the DrugBank dataset. The SA-DDI achieves the fastest training speed ( i.e., convergence rate), as shown in Fig. 6(b), with a moderate number of parameters and training time, as shown in Fig. 6(c) and (d). A larger number of parameters do not mean better performance. The number of parameters for DeepCCI is about thrice those of SA-DDI, whereas its test accuracy is approximately 3% lower than the SA-DDI. Although GMPNN-CS has a lower number of parameters compared with SA-DDI, it requires a much larger training time. GMPNN-CS uses a co-attention to compute the interaction between substructures of a drug pair, which leads to a much lower computation efficiency. Overall, the SA-DDI achieves the best performance with a moderate training efficiency. 3.4 Performance evaluation under cold start scenarios The warm start scenario can lead to over-optimistic results, because it causes information leakage ( i.e., drug structure information) to the test set. To further demonstrate the efficacy of the proposed SA-DDI, we assessed all the baselines in two additional splitting schemes: J. Lee, I. Lee and J. Kang, International conference on machine learning, 2019, pp. 3734–3743 Search PubMed . Australian external territories other than Christmas, Cocos Islands, such as Australian Antarctic Territory, Norfolk IslandChen C-C, Tseng C-H, Cheng S-H. Continuity of care, medication adherence, and health care outcomes among patients with newly diagnosed type 2 diabetes: a longitudinal analysis. Med Care. 2013;51:231–7. https://doi.org/10.1097/MLR.0b013e31827da5b9.

Guo J-Y, Chou Y-J, Pu C. Effect of continuity of care on drug–drug interactions. Med Care. 2017;55:744–51. https://doi.org/10.1097/MLR.0000000000000758. Kantor ED, Rehm CD, Haas JS, Chan AT, Giovannucci EL. Trends in prescription drug use among adults in the United States from 1999–2012. JAMA. 2015;314:1818–31. https://doi.org/10.1001/jama.2015.13766. Pereira Gray DJ, Sidaway-Lee K, White E, Thorne A, Evans PH. Continuity of care with doctors-a matter of life and death? A systematic review of continuity of care and mortality. BMJ Open. 2018;8:e021161. https://doi.org/10.1136/bmjopen-2017-021161. A. Mayr, G. Klambauer, T. Unterthiner, M. Steijaert, J. K. Wegner, H. Ceulemans, D.-A. Clevert and S. Hochreiter, Chem. Sci., 2018, 9, 5441–5451 RSC . Given a drug pair ( d x, d y), we assumed that the substructure information of d x can be used to detect the essential substructures of d y. Specifically, we first used a topology-aware global pooling (TAGP) to obtain the graph-level representation of d x as follows:Nyweide DJ. Concordance between continuity of care reported by patients and measured from administrative data. Med Care Res Rev. 2014;71:138–55. https://doi.org/10.1177/1077558713505685. Facchinetti G, D’Angelo D, Piredda M, Petitti T, Matarese M, Oliveti A, de Marinis MG. Continuity of care interventions for preventing hospital readmission of older people with chronic diseases: a meta-analysis. Int J Nurs Stud. 2020;101:103396. https://doi.org/10.1016/j.ijnurstu.2019.103396. Sponsler KC, Neal EB, Kripalani S. Improving medication safety during hospital-based transitions of care. CCJM. 2015;82:351–60. https://doi.org/10.3949/ccjm.82a.14025. Gnjidic D, Tinetti M, Allore HG. Assessing medication burden and polypharmacy: finding the perfect measure. Expert Rev Clin Pharmacol. 2017;10:345–7. https://doi.org/10.1080/17512433.2017.1301206.