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21. Electronic health record-based patient identification and individualized mailed outreach for primary cardiovascular disease prevention: a cluster randomized trial. (PubMed)

Electronic health record-based patient identification and individualized mailed outreach for primary cardiovascular disease prevention: a cluster randomized trial. Many individuals at higher risk for cardiovascular disease (CVD) do not receive recommended treatments. Prior interventions using personalized risk information to promote prevention did not test clinic-wide effectiveness.To perform a 9-month cluster-randomized trial, comparing a strategy of electronic health record-based (...) identification of patients with increased CVD risk and individualized mailed outreach to usual care.Patients of participating physicians with a Framingham Risk Score of at least 5 %, low-density lipoprotein (LDL)-cholesterol level above guideline threshold for drug treatment, and not prescribed a lipid-lowering medication were included in the intention-to-treat analysis.Patients of physicians randomized to the intervention group were mailed individualized CVD risk messages that described benefits of using

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2013 Journal of General Internal Medicine

22. Capsule commentary on Persell et.al., electronic health record-based patient identification and individualized mailed outreach for primary cardiovascular disease prevention: a cluster randomized trial. (PubMed)

Capsule commentary on Persell et.al., electronic health record-based patient identification and individualized mailed outreach for primary cardiovascular disease prevention: a cluster randomized trial. 23307412 2013 09 26 2018 12 02 1525-1497 28 4 2013 Apr Journal of general internal medicine J Gen Intern Med Capsule commentary on Persell et.al., electronic health record-based patient identification and individualized mailed outreach for primary cardiovascular disease prevention: a cluster (...) randomized trial. 569 10.1007/s11606-012-2300-5 Ivers Noah N Women's College Hospital - University of Toronto, Toronto, Ontario, Canada. noah.ivers@utoronto.ca eng Journal Article Comment United States J Gen Intern Med 8605834 0884-8734 IM J Gen Intern Med. 2013 Apr;28(4):554-60 23143672 Cardiovascular Diseases prevention & control Electronic Health Records Female Health Promotion organization & administration Humans Male Primary Health Care organization & administration 2013 1 12 6 0 2013 1 12 6 0 2013

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2013 Journal of General Internal Medicine

23. Applying STOPP Guidelines in Primary Care Through Electronic Medical Record Decision Support: Randomized Control Trial Highlighting the Importance of Data Quality (PubMed)

Applying STOPP Guidelines in Primary Care Through Electronic Medical Record Decision Support: Randomized Control Trial Highlighting the Importance of Data Quality Potentially Inappropriate Prescriptions (PIPs) are a common cause of morbidity, particularly in the elderly.We sought to understand how the Screening Tool of Older People's Prescriptions (STOPP) prescribing criteria, implemented in a routinely used primary care Electronic Medical Record (EMR), could impact PIP rates in community (non (...) -academic) primary care practices.We conducted a mixed-method, pragmatic, cluster, randomized control trial in research naïve primary care practices. Phase 1: In the randomized controlled trial, 40 fully automated STOPP rules were implemented as EMR alerts during a 16-week intervention period. The control group did not receive the 40 STOPP rules (but received other alerts). Participants were recruited through the OSCAR EMR user group mailing list and in person at user group meetings. Results were

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2017 JMIR medical informatics

24. The validity of acute cardiovascular outcome diagnoses in European electronic health records: a systematic review

The validity of acute cardiovascular outcome diagnoses in European electronic health records: a systematic review Print | PDF PROSPERO This information has been provided by the named contact for this review. CRD has accepted this information in good faith and registered the review in PROSPERO. The registrant confirms that the information supplied for this submission is accurate and complete. CRD bears no responsibility or liability for the content of this registration record, any associated (...) are not reported or unclear, we will attempt to contact authors by e-mail (max. 2 attempts). In case an outcome is measured at multiple time points, data from the time point where efficacy is highest will be included. ">Methods for data extraction Example: Experimental groups, control group(s) and number of animals per group. ">Data to be extracted: study design Example: Species, sex, weight, age, co‐morbidity, anaesthetic agent used, method of induction of cardiac ischemia, duration of ischemia and duration

2019 PROSPERO

25. The use of electronic monitoring devices in adherence with asthma medications, and their impact on patient outcomes: a systematic review

The use of electronic monitoring devices in adherence with asthma medications, and their impact on patient outcomes: a systematic review Print | PDF PROSPERO This information has been provided by the named contact for this review. CRD has accepted this information in good faith and registered the review in PROSPERO. The registrant confirms that the information supplied for this submission is accurate and complete. CRD bears no responsibility or liability for the content of this registration (...) software. In case data are not reported or unclear, we will attempt to contact authors by e-mail (max. 2 attempts). In case an outcome is measured at multiple time points, data from the time point where efficacy is highest will be included. ">Methods for data extraction Example: Experimental groups, control group(s) and number of animals per group. ">Data to be extracted: study design Example: Species, sex, weight, age, co‐morbidity, anaesthetic agent used, method of induction of cardiac ischemia

2019 PROSPERO

26. A systematic review of adolescents heath knowledge of electronic cigarettes

A systematic review of adolescents heath knowledge of electronic cigarettes Print | PDF PROSPERO This information has been provided by the named contact for this review. CRD has accepted this information in good faith and registered the review in PROSPERO. The registrant confirms that the information supplied for this submission is accurate and complete. CRD bears no responsibility or liability for the content of this registration record, any associated files or external websites. Email (...) will attempt to contact authors by e-mail (max. 2 attempts). In case an outcome is measured at multiple time points, data from the time point where efficacy is highest will be included. ">Methods for data extraction Example: Experimental groups, control group(s) and number of animals per group. ">Data to be extracted: study design Example: Species, sex, weight, age, co‐morbidity, anaesthetic agent used, method of induction of cardiac ischemia, duration of ischemia and duration of reperfusion (if applicable

2019 PROSPERO

27. The diagnostic test accuracy of breath test by electronic nose or other devices versus other tests for tuberculosis (TB) in patients with TB or suspected with TB: a systematic review and meta-analysis

The diagnostic test accuracy of breath test by electronic nose or other devices versus other tests for tuberculosis (TB) in patients with TB or suspected with TB: a systematic review and meta-analysis Print | PDF PROSPERO This information has been provided by the named contact for this review. CRD has accepted this information in good faith and registered the review in PROSPERO. The registrant confirms that the information supplied for this submission is accurate and complete. CRD bears (...) . If these are not reported, we will extract data from graphs using digital ruler software. In case data are not reported or unclear, we will attempt to contact authors by e-mail (max. 2 attempts). In case an outcome is measured at multiple time points, data from the time point where efficacy is highest will be included. ">Methods for data extraction Example: Experimental groups, control group(s) and number of animals per group. ">Data to be extracted: study design Example: Species, sex, weight, age, co‐morbidity

2019 PROSPERO

28. Continuous versus interrupted direct oral anticoagulation (DOAC) during cardiac implantable electronic device surgery: a systematic review and meta-analysis of randomized controlled trials

Continuous versus interrupted direct oral anticoagulation (DOAC) during cardiac implantable electronic device surgery: a systematic review and meta-analysis of randomized controlled trials Print | PDF PROSPERO This information has been provided by the named contact for this review. CRD has accepted this information in good faith and registered the review in PROSPERO. The registrant confirms that the information supplied for this submission is accurate and complete. CRD bears no responsibility (...) will extract data from graphs using digital ruler software. In case data are not reported or unclear, we will attempt to contact authors by e-mail (max. 2 attempts). In case an outcome is measured at multiple time points, data from the time point where efficacy is highest will be included. ">Methods for data extraction Example: Experimental groups, control group(s) and number of animals per group. ">Data to be extracted: study design Example: Species, sex, weight, age, co‐morbidity, anaesthetic agent used

2019 PROSPERO

29. Validation of acute exacerbation of chronic obstructive pulmonary disease (COPD) recording in electronic health records: a systematic review

Validation of acute exacerbation of chronic obstructive pulmonary disease (COPD) recording in electronic health records: a systematic review Print | PDF PROSPERO This information has been provided by the named contact for this review. CRD has accepted this information in good faith and registered the review in PROSPERO. The registrant confirms that the information supplied for this submission is accurate and complete. CRD bears no responsibility or liability for the content of this registration (...) software. In case data are not reported or unclear, we will attempt to contact authors by e-mail (max. 2 attempts). In case an outcome is measured at multiple time points, data from the time point where efficacy is highest will be included. ">Methods for data extraction Example: Experimental groups, control group(s) and number of animals per group. ">Data to be extracted: study design Example: Species, sex, weight, age, co‐morbidity, anaesthetic agent used, method of induction of cardiac ischemia

2019 PROSPERO

30. Perception and sentiments about electronic cigarettes on the social media: a systematic review

Perception and sentiments about electronic cigarettes on the social media: a systematic review Print | PDF PROSPERO This information has been provided by the named contact for this review. CRD has accepted this information in good faith and registered the review in PROSPERO. The registrant confirms that the information supplied for this submission is accurate and complete. CRD bears no responsibility or liability for the content of this registration record, any associated files or external (...) or unclear, we will attempt to contact authors by e-mail (max. 2 attempts). In case an outcome is measured at multiple time points, data from the time point where efficacy is highest will be included. ">Methods for data extraction Example: Experimental groups, control group(s) and number of animals per group. ">Data to be extracted: study design Example: Species, sex, weight, age, co‐morbidity, anaesthetic agent used, method of induction of cardiac ischemia, duration of ischemia and duration

2019 PROSPERO

31. A systematic review of data quality assessment methods of electronic health records used for clinical research

A systematic review of data quality assessment methods of electronic health records used for clinical research Print | PDF PROSPERO This information has been provided by the named contact for this review. CRD has accepted this information in good faith and registered the review in PROSPERO. The registrant confirms that the information supplied for this submission is accurate and complete. CRD bears no responsibility or liability for the content of this registration record, any associated files (...) or unclear, we will attempt to contact authors by e-mail (max. 2 attempts). In case an outcome is measured at multiple time points, data from the time point where efficacy is highest will be included. ">Methods for data extraction Example: Experimental groups, control group(s) and number of animals per group. ">Data to be extracted: study design Example: Species, sex, weight, age, co‐morbidity, anaesthetic agent used, method of induction of cardiac ischemia, duration of ischemia and duration

2019 PROSPERO

32. Identifying refugee and asylum seeker groups and their mental health needs through electronic health records

Identifying refugee and asylum seeker groups and their mental health needs through electronic health records Print | PDF PROSPERO This information has been provided by the named contact for this review. CRD has accepted this information in good faith and registered the review in PROSPERO. The registrant confirms that the information supplied for this submission is accurate and complete. CRD bears no responsibility or liability for the content of this registration record, any associated files (...) or unclear, we will attempt to contact authors by e-mail (max. 2 attempts). In case an outcome is measured at multiple time points, data from the time point where efficacy is highest will be included. ">Methods for data extraction Example: Experimental groups, control group(s) and number of animals per group. ">Data to be extracted: study design Example: Species, sex, weight, age, co‐morbidity, anaesthetic agent used, method of induction of cardiac ischemia, duration of ischemia and duration

2019 PROSPERO

33. Identifying best practices to improve medication adherence through electronic-based, mobile health, and telehealth interventions

Identifying best practices to improve medication adherence through electronic-based, mobile health, and telehealth interventions Print | PDF PROSPERO This information has been provided by the named contact for this review. CRD has accepted this information in good faith and registered the review in PROSPERO. The registrant confirms that the information supplied for this submission is accurate and complete. CRD bears no responsibility or liability for the content of this registration record, any (...) are not reported or unclear, we will attempt to contact authors by e-mail (max. 2 attempts). In case an outcome is measured at multiple time points, data from the time point where efficacy is highest will be included. ">Methods for data extraction Example: Experimental groups, control group(s) and number of animals per group. ">Data to be extracted: study design Example: Species, sex, weight, age, co‐morbidity, anaesthetic agent used, method of induction of cardiac ischemia, duration of ischemia and duration

2019 PROSPERO

34. Collection and use of electronic patient-reported outcome data after hospital discharge following surgery: a systematic review

Collection and use of electronic patient-reported outcome data after hospital discharge following surgery: a systematic review Print | PDF PROSPERO This information has been provided by the named contact for this review. CRD has accepted this information in good faith and registered the review in PROSPERO. The registrant confirms that the information supplied for this submission is accurate and complete. CRD bears no responsibility or liability for the content of this registration record, any (...) are not reported or unclear, we will attempt to contact authors by e-mail (max. 2 attempts). In case an outcome is measured at multiple time points, data from the time point where efficacy is highest will be included. ">Methods for data extraction Example: Experimental groups, control group(s) and number of animals per group. ">Data to be extracted: study design Example: Species, sex, weight, age, co‐morbidity, anaesthetic agent used, method of induction of cardiac ischemia, duration of ischemia and duration

2019 PROSPERO

35. Diagnostic accuracy of interpersonal violence and maltreatment in electronic health records: a systematic review and meta-analysis

Diagnostic accuracy of interpersonal violence and maltreatment in electronic health records: a systematic review and meta-analysis Print | PDF PROSPERO This information has been provided by the named contact for this review. CRD has accepted this information in good faith and registered the review in PROSPERO. The registrant confirms that the information supplied for this submission is accurate and complete. CRD bears no responsibility or liability for the content of this registration record (...) software. In case data are not reported or unclear, we will attempt to contact authors by e-mail (max. 2 attempts). In case an outcome is measured at multiple time points, data from the time point where efficacy is highest will be included. ">Methods for data extraction Example: Experimental groups, control group(s) and number of animals per group. ">Data to be extracted: study design Example: Species, sex, weight, age, co‐morbidity, anaesthetic agent used, method of induction of cardiac ischemia

2019 PROSPERO

36. Evaluating user engagement with smartphone applications/electronic interventions for depression and anxiety: a systematic review

Evaluating user engagement with smartphone applications/electronic interventions for depression and anxiety: a systematic review Print | PDF PROSPERO This information has been provided by the named contact for this review. CRD has accepted this information in good faith and registered the review in PROSPERO. The registrant confirms that the information supplied for this submission is accurate and complete. CRD bears no responsibility or liability for the content of this registration record, any (...) are not reported or unclear, we will attempt to contact authors by e-mail (max. 2 attempts). In case an outcome is measured at multiple time points, data from the time point where efficacy is highest will be included. ">Methods for data extraction Example: Experimental groups, control group(s) and number of animals per group. ">Data to be extracted: study design Example: Species, sex, weight, age, co‐morbidity, anaesthetic agent used, method of induction of cardiac ischemia, duration of ischemia and duration

2019 PROSPERO

37. An adapted systematic review of the effectiveness of electronic nicotine delivery systems (ENDS) for smoking cessation a review of randomised control trials and prospective cohort studies

An adapted systematic review of the effectiveness of electronic nicotine delivery systems (ENDS) for smoking cessation a review of randomised control trials and prospective cohort studies Print | PDF PROSPERO This information has been provided by the named contact for this review. CRD has accepted this information in good faith and registered the review in PROSPERO. The registrant confirms that the information supplied for this submission is accurate and complete. CRD bears no responsibility (...) will extract data from graphs using digital ruler software. In case data are not reported or unclear, we will attempt to contact authors by e-mail (max. 2 attempts). In case an outcome is measured at multiple time points, data from the time point where efficacy is highest will be included. ">Methods for data extraction Example: Experimental groups, control group(s) and number of animals per group. ">Data to be extracted: study design Example: Species, sex, weight, age, co‐morbidity, anaesthetic agent used

2019 PROSPERO

38. Benefits of remote monitoring in patients with cardiac implantable electronic devices who have heart failure: systematic review

Benefits of remote monitoring in patients with cardiac implantable electronic devices who have heart failure: systematic review Print | PDF PROSPERO This information has been provided by the named contact for this review. CRD has accepted this information in good faith and registered the review in PROSPERO. The registrant confirms that the information supplied for this submission is accurate and complete. CRD bears no responsibility or liability for the content of this registration record, any (...) are not reported or unclear, we will attempt to contact authors by e-mail (max. 2 attempts). In case an outcome is measured at multiple time points, data from the time point where efficacy is highest will be included. ">Methods for data extraction Example: Experimental groups, control group(s) and number of animals per group. ">Data to be extracted: study design Example: Species, sex, weight, age, co‐morbidity, anaesthetic agent used, method of induction of cardiac ischemia, duration of ischemia and duration

2019 PROSPERO

39. Using machine learning on temporal clinical data from the electronic health record: a systematic review.

Using machine learning on temporal clinical data from the electronic health record: a systematic review. Print | PDF PROSPERO This information has been provided by the named contact for this review. CRD has accepted this information in good faith and registered the review in PROSPERO. The registrant confirms that the information supplied for this submission is accurate and complete. CRD bears no responsibility or liability for the content of this registration record, any associated files (...) or unclear, we will attempt to contact authors by e-mail (max. 2 attempts). In case an outcome is measured at multiple time points, data from the time point where efficacy is highest will be included. ">Methods for data extraction Example: Experimental groups, control group(s) and number of animals per group. ">Data to be extracted: study design Example: Species, sex, weight, age, co‐morbidity, anaesthetic agent used, method of induction of cardiac ischemia, duration of ischemia and duration

2019 PROSPERO

40. Experiences of adult patients with chronic non-communicable disease using electronic personal health records for self-management: a qualitative systematic review protocol

Experiences of adult patients with chronic non-communicable disease using electronic personal health records for self-management: a qualitative systematic review protocol Print | PDF PROSPERO This information has been provided by the named contact for this review. CRD has accepted this information in good faith and registered the review in PROSPERO. The registrant confirms that the information supplied for this submission is accurate and complete. CRD bears no responsibility or liability (...) graphs using digital ruler software. In case data are not reported or unclear, we will attempt to contact authors by e-mail (max. 2 attempts). In case an outcome is measured at multiple time points, data from the time point where efficacy is highest will be included. ">Methods for data extraction Example: Experimental groups, control group(s) and number of animals per group. ">Data to be extracted: study design Example: Species, sex, weight, age, co‐morbidity, anaesthetic agent used, method

2019 PROSPERO

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