Daniel Henriksen on Muck Rack

Daniel Henriksen

As seen in: The Drum, Color Research & Application, BMJ Open, BMJ Quality & Safety, The Lancet, European Respiratory Journal, BJGP (British Journal of General Practice), Campaign Asia, CDOTrends, Respiratory Medicine
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Articles

General practice consultation patterns and patient factors predicting older patients’ use of out-of-hours services: a nationwide register-based cohort study

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By Jonas Olsen, Sonja Wehberg, Frans Boch Waldorff, Daniel Henriksen
| BJGP (British Journal of General Practice)
Abstract Background Out-of-hours primary care services cannot provide the same continuity and coordination of care as daytime general practice. Thus, patients with high risk of complex care trajectories should, when possible, be seen by the GP during daytime opening hours. However, little is known about how provision of daytime consultation services affects older patients’ out-of-hours healthcare seeking.
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General practice consultation patterns and patient factors predicting older patients’ use of out-of-hours services: a nationwide register-based cohort study

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By Jonas Olsen, Sonja Wehberg, Frans Boch Waldorff, Daniel Henriksen
| BJGP (British Journal of General Practice)
The use of high-quality virtually complete nationwide registers reduced the risk of selection and information bias. Rich individual data on patients enabled adjustment for a plethora of health, geographic, and socioeconomic factors isolating the variation across practices not because of these factors, and limited risk of multicollinearity between variables as a result of the high power of the study.
Open in Who Shared Issue with article?

Variation in daytime general practice services and association with out-of-hours use for older patients: protocol for a Danish cohort study

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By Jonas Olsen, Sonja Wehberg, Frans Boch Waldorff, Daniel Henriksen
| BMJ Open
Strengths and limitations of these studies The use of high-quality virtually complete nationwide registers reduces the risk of selection bias and increases generalisability. Rich individual data on patients enable adjustment for a plethora of health, geographical and socioeconomic factors isolating the variation excess of differences in patient population in paper one and reducing the risk of confounding in paper two.
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See all 16 licensed articles (23 Total)

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