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r37980778c78--7cb15fe99752e2ba41add4bebf265579
Hospital-acquired infections (HAIs), including emerging multi-drug resistant organisms, threaten healthcare systems worldwide. Efficient containment measures of HAIs must... -
Frequency Table of Gender Assigned at Birth, Gender Identity, and Level of Ed...
Table copied from [17]. -
r37980778c78--cad3a98b75bffe00ace1ecdbfc3e26bf
Networks characteristics of the French healthcare networks. -
r37980778c78--a47446ba1737af51942c4b43fbde34a5
Change in total and face-to-face appointment numbers and consultation length in people with hypertension participating and not participating in telemonitoring. -
Patient characteristics in the telemonitoring and comparator groups who had a...
Patient characteristics in the telemonitoring and comparator groups who had at least 1 year of follow-up and 2 blood pressure readings at least 6 months apart. -
Overall positive predictive value of ICD-10-GM by proportion of hospital-acqu...
Overall positive predictive value of ICD-10-GM by proportion of hospital-acquired events. -
r37980778c78--c0ea76ce7644914b9e674cc1204f2b1f
Frequency Table (and Percentage of Column) of Responses of Transgender Participants to the Question: How do you feel about removing the distress criterion from the children’s... -
Number (percent) of patient participants with various levels of uncontrolled ...
Number (percent) of patient participants with various levels of uncontrolled hypertension at baseline and follow-up. -
Selected most frequent codes representing ADEs from ICD-10-GM for positive pr...
Selected most frequent codes representing ADEs from ICD-10-GM for positive predictive value evaluation. -
r37980778c78--f5ecd1103a579ee9489c1482cc6b3e91
Descriptive statistics for evaluation practices compared to non-evaluation practices in NHS Lothian. -
Positive predictive value of ICD-10-GM by code group, and number of inpatient...
Positive predictive value of ICD-10-GM by code group, and number of inpatient events. -
Network characteristics of the random patient networks.
Network characteristics of the random patient networks.
