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Computable Information Governance Contracts.

Studies in health technology and informatics

Cunningham J, Leeming G, Ainsworth J.
PMID: 28423838
Stud Health Technol Inform. 2017;235:476-480.

The risks of relinquishing control of electronic healthcare data for re-use in research are mitigated by the use of data sharing agreements and information governance procedures. These exist as legal, or quasi-legal, textual documents exchanged between data owners. Their...

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Cunningham J, Leeming G, Ainsworth J. Computable Information Governance Contracts. Stud Health Technol Inform. 2017;235:476-480
Cunningham, J., Leeming, G., & Ainsworth, J. (2017). Computable Information Governance Contracts. Studies in health technology and informatics, 235476-480.
Cunningham, James, et al. "Computable Information Governance Contracts." Studies in health technology and informatics vol. 235 (2017): 476-480.
Cunningham J, Leeming G, Ainsworth J. Computable Information Governance Contracts. Stud Health Technol Inform. 2017;235:476-480. PMID: 28423838.
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Erratum to: Evaluation of biases present in the cohort multiple randomised controlled trial design: a simulation study.

BMC medical research methodology

Candlish J, Pate A, Sperrin M, van Staa T.
PMID: 28330450
BMC Med Res Methodol. 2017 Mar 22;17(1):47. doi: 10.1186/s12874-017-0326-4.

No abstract available.

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Candlish J, Pate A, Sperrin M, et al. Erratum to: Evaluation of biases present in the cohort multiple randomised controlled trial design: a simulation study. BMC Med Res Methodol. 2017;17(1):47doi: 10.1186/s12874-017-0326-4.
Candlish, J., Pate, A., Sperrin, M., van Staa, T. (2017). Erratum to: Evaluation of biases present in the cohort multiple randomised controlled trial design: a simulation study. BMC medical research methodology, 17(1), 47. https://doi.org/10.1186/s12874-017-0326-4
Candlish, Jane, et al. "Erratum to: Evaluation of biases present in the cohort multiple randomised controlled trial design: a simulation study." BMC medical research methodology vol. 17,1 (2017): 47. doi: https://doi.org/10.1186/s12874-017-0326-4
Candlish J, Pate A, Sperrin M, van Staa T. Erratum to: Evaluation of biases present in the cohort multiple randomised controlled trial design: a simulation study. BMC Med Res Methodol. 2017 Mar 22;17(1):47. doi: 10.1186/s12874-017-0326-4. PMID: 28330450; PMCID: PMC5363037.
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The Role of Social Network Technologies in Online Health Promotion: A Narrative Review of Theoretical and Empirical Factors Influencing Intervention Effectiveness.

Journal of medical Internet research

Balatsoukas P, Kennedy CM, Buchan I, Powell J, Ainsworth J.
PMID: 26068087
J Med Internet Res. 2015 Jun 11;17(6):e141. doi: 10.2196/jmir.3662.

BACKGROUND: Social network technologies have become part of health education and wider health promotion—either by design or happenstance. Social support, peer pressure, and information sharing in online communities may affect health behaviors. If there are positive and sustained effects,...

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Balatsoukas P, Kennedy CM, Buchan I, et al. The Role of Social Network Technologies in Online Health Promotion: A Narrative Review of Theoretical and Empirical Factors Influencing Intervention Effectiveness. J Med Internet Res. 2015;17(6):e141doi: 10.2196/jmir.3662.
Balatsoukas, P., Kennedy, C. M., Buchan, I., Powell, J., & Ainsworth, J. (2015). The Role of Social Network Technologies in Online Health Promotion: A Narrative Review of Theoretical and Empirical Factors Influencing Intervention Effectiveness. Journal of medical Internet research, 17(6), e141. https://doi.org/10.2196/jmir.3662
Balatsoukas, Panos, et al. "The Role of Social Network Technologies in Online Health Promotion: A Narrative Review of Theoretical and Empirical Factors Influencing Intervention Effectiveness." Journal of medical Internet research vol. 17,6 (2015): e141. doi: https://doi.org/10.2196/jmir.3662
Balatsoukas P, Kennedy CM, Buchan I, Powell J, Ainsworth J. The Role of Social Network Technologies in Online Health Promotion: A Narrative Review of Theoretical and Empirical Factors Influencing Intervention Effectiveness. J Med Internet Res. 2015 Jun 11;17(6):e141. doi: 10.2196/jmir.3662. PMID: 26068087; PMCID: PMC4526933.
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ClinicalCodes: an online clinical codes repository to improve the validity and reproducibility of research using electronic medical records.

PloS one

Springate DA, Kontopantelis E, Ashcroft DM, Olier I, Parisi R, Chamapiwa E, Reeves D.
PMID: 24941260
PLoS One. 2014 Jun 18;9(6):e99825. doi: 10.1371/journal.pone.0099825. eCollection 2014.

Lists of clinical codes are the foundation for research undertaken using electronic medical records (EMRs). If clinical code lists are not available, reviewers are unable to determine the validity of research, full study replication is impossible, researchers are unable...

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Springate DA, Kontopantelis E, Ashcroft DM, et al. ClinicalCodes: an online clinical codes repository to improve the validity and reproducibility of research using electronic medical records. PLoS One. 2014;9(6):e99825doi: 10.1371/journal.pone.0099825.
Springate, D. A., Kontopantelis, E., Ashcroft, D. M., Olier, I., Parisi, R., Chamapiwa, E., & Reeves, D. (2014). ClinicalCodes: an online clinical codes repository to improve the validity and reproducibility of research using electronic medical records. PloS one, 9(6), e99825. https://doi.org/10.1371/journal.pone.0099825
Springate, David A, et al. "ClinicalCodes: an online clinical codes repository to improve the validity and reproducibility of research using electronic medical records." PloS one vol. 9,6 (2014): e99825. doi: https://doi.org/10.1371/journal.pone.0099825
Springate DA, Kontopantelis E, Ashcroft DM, Olier I, Parisi R, Chamapiwa E, Reeves D. ClinicalCodes: an online clinical codes repository to improve the validity and reproducibility of research using electronic medical records. PLoS One. 2014 Jun 18;9(6):e99825. doi: 10.1371/journal.pone.0099825. eCollection 2014. PMID: 24941260; PMCID: PMC4062485.
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RETRACTED: Adjusting for illness severity shows there is no difference in patient mortality at weekends or weekdays for emergency medical admissions.

QJM : monthly journal of the Association of Physicians

[No authors listed]
PMID: 27413051
QJM. 2017 Jul 01;110(7):e1-e8. doi: 10.1093/qjmed/hcw104.

No abstract available.

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RETRACTED: Adjusting for illness severity shows there is no difference in patient mortality at weekends or weekdays for emergency medical admissions. QJM. 2017;110(7):e1-e8doi: 10.1093/qjmed/hcw104.
(2017). RETRACTED: Adjusting for illness severity shows there is no difference in patient mortality at weekends or weekdays for emergency medical admissions. QJM : monthly journal of the Association of Physicians, 110(7), e1-e8. https://doi.org/10.1093/qjmed/hcw104
"RETRACTED: Adjusting for illness severity shows there is no difference in patient mortality at weekends or weekdays for emergency medical admissions." QJM : monthly journal of the Association of Physicians vol. 110,7 (2017): e1-e8. doi: https://doi.org/10.1093/qjmed/hcw104
RETRACTED: Adjusting for illness severity shows there is no difference in patient mortality at weekends or weekdays for emergency medical admissions. QJM. 2017 Jul 01;110(7):e1-e8. doi: 10.1093/qjmed/hcw104. PMID: 27413051.
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A Technological Innovation to Reduce Prescribing Errors Based on Implementation Intentions: The Acceptability and Feasibility of MyPrescribe.

JMIR human factors

Keyworth C, Hart J, Thoong H, Ferguson J, Tully M.
PMID: 28765104
JMIR Hum Factors. 2017 Aug 01;4(3):e17. doi: 10.2196/humanfactors.7153.

BACKGROUND: Although prescribing of medication in hospitals is rarely an error-free process, prescribers receive little feedback on their mistakes and ways to change future practices. Audit and feedback interventions may be an effective approach to modifying the clinical practice...

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Keyworth C, Hart J, Thoong H, et al. A Technological Innovation to Reduce Prescribing Errors Based on Implementation Intentions: The Acceptability and Feasibility of MyPrescribe. JMIR Hum Factors. 2017;4(3):e17doi: 10.2196/humanfactors.7153.
Keyworth, C., Hart, J., Thoong, H., Ferguson, J., & Tully, M. (2017). A Technological Innovation to Reduce Prescribing Errors Based on Implementation Intentions: The Acceptability and Feasibility of MyPrescribe. JMIR human factors, 4(3), e17. https://doi.org/10.2196/humanfactors.7153
Keyworth, Chris, et al. "A Technological Innovation to Reduce Prescribing Errors Based on Implementation Intentions: The Acceptability and Feasibility of MyPrescribe." JMIR human factors vol. 4,3 (2017): e17. doi: https://doi.org/10.2196/humanfactors.7153
Keyworth C, Hart J, Thoong H, Ferguson J, Tully M. A Technological Innovation to Reduce Prescribing Errors Based on Implementation Intentions: The Acceptability and Feasibility of MyPrescribe. JMIR Hum Factors. 2017 Aug 01;4(3):e17. doi: 10.2196/humanfactors.7153. PMID: 28765104; PMCID: PMC5558044.
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Investigating heterogeneity of effects and associations using interaction terms.

Journal of clinical epidemiology

Kontopantelis E, Sperrin M, Mamas MA, Buchan IE.
PMID: 28943379
J Clin Epidemiol. 2018 Jan;93:79-83. doi: 10.1016/j.jclinepi.2017.09.012. Epub 2017 Sep 21.

Effect heterogeneity, the variability of an association or exposure across subgroups, usually warrants further investigation. The aim of this deeper analysis is to identify effect modifiers (or moderators) and quantify their relationship with the exposure. We explain why it...

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Kontopantelis E, Sperrin M, Mamas MA, et al. Investigating heterogeneity of effects and associations using interaction terms. J Clin Epidemiol. 2017;93:79-83doi: 10.1016/j.jclinepi.2017.09.012.
Kontopantelis, E., Sperrin, M., Mamas, M. A., & Buchan, I. E. (2018). Investigating heterogeneity of effects and associations using interaction terms. Journal of clinical epidemiology, 9379-83. https://doi.org/10.1016/j.jclinepi.2017.09.012
Kontopantelis, Evangelos, et al. "Investigating heterogeneity of effects and associations using interaction terms." Journal of clinical epidemiology vol. 93 (2018): 79-83. doi: https://doi.org/10.1016/j.jclinepi.2017.09.012
Kontopantelis E, Sperrin M, Mamas MA, Buchan IE. Investigating heterogeneity of effects and associations using interaction terms. J Clin Epidemiol. 2018 Jan;93:79-83. doi: 10.1016/j.jclinepi.2017.09.012. Epub 2017 Sep 21. PMID: 28943379.
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Development of evidence-based clinical algorithms for prescription of exercise-based cardiac rehabilitation.

Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation

Achttien RJ, Vromen T, Staal JB, Peek N, Spee RF, Niemeijer VM, Kemps HM.
PMID: 26481496
Neth Heart J. 2015 Dec;23(12):563-75. doi: 10.1007/s12471-015-0761-y.

BACKGROUND: Guideline adherence with respect to exercise-based cardiac rehabilitation (CR) is hampered by a large variety of complex guidelines and position statements, and the fact that these documents are not specifically designed for healthcare professionals prescribing exercise-based CR programs....

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Achttien RJ, Vromen T, Staal JB, et al. Development of evidence-based clinical algorithms for prescription of exercise-based cardiac rehabilitation. Neth Heart J. 2015;23(12):563-75doi: 10.1007/s12471-015-0761-y.
Achttien, R. J., Vromen, T., Staal, J. B., Peek, N., Spee, R. F., Niemeijer, V. M., Kemps, H. M. (2015). Development of evidence-based clinical algorithms for prescription of exercise-based cardiac rehabilitation. Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation, 23(12), 563-75. https://doi.org/10.1007/s12471-015-0761-y
Achttien, R J, et al. "Development of evidence-based clinical algorithms for prescription of exercise-based cardiac rehabilitation." Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation vol. 23,12 (2015): 563-75. doi: https://doi.org/10.1007/s12471-015-0761-y
Achttien RJ, Vromen T, Staal JB, Peek N, Spee RF, Niemeijer VM, Kemps HM. Development of evidence-based clinical algorithms for prescription of exercise-based cardiac rehabilitation. Neth Heart J. 2015 Dec;23(12):563-75. doi: 10.1007/s12471-015-0761-y. PMID: 26481496; PMCID: PMC4651959.
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The Authors Respond.

Epidemiology (Cambridge, Mass.)

Sperrin M, Candlish J, Badrick E, Renehan A, Buchan I.
PMID: 27984427
Epidemiology. 2017 Mar;28(2):e17-e18. doi: 10.1097/EDE.0000000000000611.

No abstract available.

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Sperrin M, Candlish J, Badrick E, et al. The Authors Respond. Epidemiology. 2017;28(2):e17-e18doi: 10.1097/EDE.0000000000000611.
Sperrin, M., Candlish, J., Badrick, E., Renehan, A., & Buchan, I. (2017). The Authors Respond. Epidemiology (Cambridge, Mass.), 28(2), e17-e18. https://doi.org/10.1097/EDE.0000000000000611
Sperrin, Matthew, et al. "The Authors Respond." Epidemiology (Cambridge, Mass.) vol. 28,2 (2017): e17-e18. doi: https://doi.org/10.1097/EDE.0000000000000611
Sperrin M, Candlish J, Badrick E, Renehan A, Buchan I. The Authors Respond. Epidemiology. 2017 Mar;28(2):e17-e18. doi: 10.1097/EDE.0000000000000611. PMID: 27984427; PMCID: PMC5549841.
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Patient Portal Adoption Rates: A Systematic Literature Review and Meta-Analysis.

Studies in health technology and informatics

Fraccaro P, Vigo M, Balatsoukas P, Buchan IE, Peek N, van der Veer SN.
PMID: 29295056
Stud Health Technol Inform. 2017;245:79-83.

Despite the increasing availability of online patient portals that provide access to electronic health records, little is known about their adoption by patients. We systematically reviewed the literature to investigate adoption of patient portals across studies. We searched MEDLINE...

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Fraccaro P, Vigo M, Balatsoukas P, et al. Patient Portal Adoption Rates: A Systematic Literature Review and Meta-Analysis. Stud Health Technol Inform. 2017;245:79-83
Fraccaro, P., Vigo, M., Balatsoukas, P., Buchan, I. E., Peek, N., & van der Veer, S. N. (2017). Patient Portal Adoption Rates: A Systematic Literature Review and Meta-Analysis. Studies in health technology and informatics, 24579-83.
Fraccaro, Paolo, et al. "Patient Portal Adoption Rates: A Systematic Literature Review and Meta-Analysis." Studies in health technology and informatics vol. 245 (2017): 79-83.
Fraccaro P, Vigo M, Balatsoukas P, Buchan IE, Peek N, van der Veer SN. Patient Portal Adoption Rates: A Systematic Literature Review and Meta-Analysis. Stud Health Technol Inform. 2017;245:79-83. PMID: 29295056.
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An online survey to study the relationship between patients' health literacy and coping style and their preferences for self-management-related information.

Patient preference and adherence

Vosbergen S, Peek N, Mulder-Wiggers JM, Kemps HM, Kraaijenhagen RA, Jaspers MW, Lacroix JP.
PMID: 24851044
Patient Prefer Adherence. 2014 May 06;8:631-42. doi: 10.2147/PPA.S57797. eCollection 2014.

OBJECTIVE: To evaluate patients' preferences for message features and assess their relationships with health literacy, monitor-blunter coping style, and other patient-dependent characteristics.METHODS: Patients with coronary heart disease completed an internet-based survey, which assessed health literacy and monitor-blunter coping style,...

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Vosbergen S, Peek N, Mulder-Wiggers JM, et al. An online survey to study the relationship between patients' health literacy and coping style and their preferences for self-management-related information. Patient Prefer Adherence. 2014;8:631-42doi: 10.2147/PPA.S57797.
Vosbergen, S., Peek, N., Mulder-Wiggers, J. M., Kemps, H. M., Kraaijenhagen, R. A., Jaspers, M. W., & Lacroix, J. P. (2014). An online survey to study the relationship between patients' health literacy and coping style and their preferences for self-management-related information. Patient preference and adherence, 8631-42. https://doi.org/10.2147/PPA.S57797
Vosbergen, Sandra, et al. "An online survey to study the relationship between patients' health literacy and coping style and their preferences for self-management-related information." Patient preference and adherence vol. 8 (2014): 631-42. doi: https://doi.org/10.2147/PPA.S57797
Vosbergen S, Peek N, Mulder-Wiggers JM, Kemps HM, Kraaijenhagen RA, Jaspers MW, Lacroix JP. An online survey to study the relationship between patients' health literacy and coping style and their preferences for self-management-related information. Patient Prefer Adherence. 2014 May 06;8:631-42. doi: 10.2147/PPA.S57797. eCollection 2014. PMID: 24851044; PMCID: PMC4018309.
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The social licence for research: why care.data ran into trouble.

Journal of medical ethics

Carter P, Laurie GT, Dixon-Woods M.
PMID: 25617016
J Med Ethics. 2015 May;41(5):404-9. doi: 10.1136/medethics-2014-102374. Epub 2015 Jan 23.

In this article we draw on the concept of a social licence to explain public concern at the introduction of care.data, a recent English initiative designed to extract data from primary care medical records for commissioning and other purposes,...

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Carter P, Laurie GT, Dixon-Woods M. The social licence for research: why care.data ran into trouble. J Med Ethics. 2015;41(5):404-9doi: 10.1136/medethics-2014-102374.
Carter, P., Laurie, G. T., & Dixon-Woods, M. (2015). The social licence for research: why care.data ran into trouble. Journal of medical ethics, 41(5), 404-9. https://doi.org/10.1136/medethics-2014-102374
Carter, Pam, et al. "The social licence for research: why care.data ran into trouble." Journal of medical ethics vol. 41,5 (2015): 404-9. doi: https://doi.org/10.1136/medethics-2014-102374
Carter P, Laurie GT, Dixon-Woods M. The social licence for research: why care.data ran into trouble. J Med Ethics. 2015 May;41(5):404-9. doi: 10.1136/medethics-2014-102374. Epub 2015 Jan 23. PMID: 25617016; PMCID: PMC4431337.
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Showing 1 to 12 of 36 entries