Difference between revisions of "Effect of home telemonitoring on glycemic and blood pressure control in primary care clinic patients with diabetes"
From Clinfowiki
(Created page with "Wakefield, B. J., Koopman, R. J., Keplinger, L. E., Bomar, M., Bernt, B., Johanning, J. L., ... & Mehr, D. R. (2014) == Introduction == The traditional face to face co-man...") |
Sgriffith1 (Talk | contribs) |
||
| (7 intermediate revisions by 3 users not shown) | |||
| Line 1: | Line 1: | ||
| − | Wakefield, B. J., Koopman, R. J., Keplinger, L. E., Bomar, M., Bernt, B., Johanning, J. L., ... & Mehr, D. R. (2014) | + | This is a review for the research article authored by Wakefield, B. J., Koopman, R. J., Keplinger, L. E., Bomar, M., Bernt, B., Johanning, J. L., ... & Mehr, D. R. (2014) |
| Line 5: | Line 5: | ||
== Introduction == | == Introduction == | ||
| − | The traditional face to face co-management of diabetes and hypertension patients is complex but can be augmented with in-home monitoring technologies that enable primary care providers to monitor these patients more frequently. These in-home monitoring can increase the number of non-clinic | + | The traditional face to face co-management of diabetes and hypertension patients is complex but can be augmented with in-home monitoring technologies that enable primary care providers to monitor these patients more frequently. These in-home monitoring can increase the number of non-clinic visits generating data points that help care planning as need arises. The aim of this study was to evaluate the short-term effectiveness of these in-home devices in transmitting hemoglobin A1C (A1C) and systolic BP measurements (SBP) <ref name = "2014, Wakefield et al.">Wakefield, 2014. Effect of home telemonitoring on glycemic and blood pressure control in primary care clinic patients with diabetes http://online.liebertpub.com/doi/abs/10.1089/tmj.2013.0151</ref>. |
== Method == | == Method == | ||
| − | The authors used a single-center randomized controlled clinical trial that compared in-home monitoring of patient type 2 diabetes A1C (≥8%) and SBP (>130 mmHg) (n= 55) and usual care of these patients (n=53) for a period of 12 weeks at six University of Missouri Family and Internal Medicine Clinics queried from an electronic medical record every 2 weeks during the study | + | The authors used a single-center [[Randomized controlled trial (RCT)|randomized controlled clinical trial]] that compared in-home monitoring of patient type 2 diabetes A1C (≥8%) and SBP (>130 mmHg) (n= 55) and usual care of these patients (n=53) for a period of 12 weeks at six University of Missouri Family and Internal Medicine Clinics queried from an electronic medical record every 2 weeks during the study enrollment phase. Study subjects recruitment occurred between May 2009 and August 2010 from an initial pool of 1,343 subjects with 108 agreeing to participate. Of which 53 and 55 subjects were randomly assigned to intervention and control respectively <ref name = "2014, Wakefield et al.">Wakefield, 2014. Effect of home telemonitoring on glycemic and blood pressure control in primary care clinic patients with diabetes http://online.liebertpub.com/doi/abs/10.1089/tmj.2013.0151</ref>. |
| − | + | ||
== Results == | == Results == | ||
| − | The authors found no statistically significant difference in A1C or SBP between the two groups at baseline, at 3 and 6 months follow up periods though there was gender difference in SBP at baseline. | + | The authors found no statistically significant difference in A1C or SBP between the two groups at baseline, at 3 and 6 months follow up periods though there was gender difference in SBP at baseline <ref name = "2014, Wakefield et al.">Wakefield, 2014. Effect of home telemonitoring on glycemic and blood pressure control in primary care clinic patients with diabetes http://online.liebertpub.com/doi/abs/10.1089/tmj.2013.0151</ref>. |
== Conclusion == | == Conclusion == | ||
| − | The author concluded that practices need to be selective in their use of telemonitoring of patients because the addition of telemonitoring technology alone is unlikely to lead to improvements in the targeted outcome in the short-terms. | + | The author concluded that practices need to be selective in their use of [[Telemedicine| telemonitoring]] of patients because the addition of telemonitoring technology alone is unlikely to lead to improvements in the targeted outcome in the short-terms <ref name = "2014, Wakefield et al.">Wakefield, 2014. Effect of home telemonitoring on glycemic and blood pressure control in primary care clinic patients with diabetes http://online.liebertpub.com/doi/abs/10.1089/tmj.2013.0151</ref>. |
== Remarks about the article == | == Remarks about the article == | ||
| − | The article shows that healthcare information technology (HIT) alone is not sufficient to bring about improvement in healthcare outcomes. It important to point out that other similar studies found significant difference in the same outcome of interest. | + | The article shows that [[Health information technology|healthcare information technology (HIT)]] alone is not sufficient to bring about improvement in healthcare outcomes. It important to point out that other similar studies found significant difference in the same outcome of interest. |
== Related Articles == | == Related Articles == | ||
| − | ** Stone, R. A., Rao, R. H., Sevick, M. A., Cheng, C., Hough, L. J., Macpherson, D. S., … Derubertis, F. R. (2010). Active care management supported by home telemonitoring in veterans with type 2 diabetes: the DiaTel randomized controlled trial. Diabetes Care, 33(3), 478–484. http://doi.org/10.2337/dc09-1012 | + | * [[Effect of Home Blood Pressure Telemonitoring and Pharmacist Management On Blood Pressure Control: The HyperLink Cluster Randomized Trial]] |
| − | + | * Stone, R. A., Rao, R. H., Sevick, M. A., Cheng, C., Hough, L. J., Macpherson, D. S., … Derubertis, F. R. (2010). Active care management supported by home telemonitoring in veterans with type 2 diabetes: the DiaTel randomized controlled trial. Diabetes Care, 33(3), 478–484. http://doi.org/10.2337/dc09-1012 | |
| + | * Bosworth, H. B., Olsen, M. K., Grubber, J. M., Neary, A. M., Orr, M. M., Powers, B. J., … Oddone, E. Z. (2009). Two self-management interventions to improve hypertension control: a randomized trial. Annals of Internal Medicine, 151(10), 687–95. http://doi.org/10.7326/0003-4819-151-10-200911170-00148 | ||
== Reference == | == Reference == | ||
| Line 29: | Line 29: | ||
[[Category: Reviews]] | [[Category: Reviews]] | ||
| + | [[Category: Telemedicine]] | ||
[[Category: HI5313-2015-FALL]] | [[Category: HI5313-2015-FALL]] | ||
| + | [[Category: HIT]] | ||
Latest revision as of 13:16, 17 November 2015
This is a review for the research article authored by Wakefield, B. J., Koopman, R. J., Keplinger, L. E., Bomar, M., Bernt, B., Johanning, J. L., ... & Mehr, D. R. (2014)
Contents
Introduction
The traditional face to face co-management of diabetes and hypertension patients is complex but can be augmented with in-home monitoring technologies that enable primary care providers to monitor these patients more frequently. These in-home monitoring can increase the number of non-clinic visits generating data points that help care planning as need arises. The aim of this study was to evaluate the short-term effectiveness of these in-home devices in transmitting hemoglobin A1C (A1C) and systolic BP measurements (SBP) [1].
Method
The authors used a single-center randomized controlled clinical trial that compared in-home monitoring of patient type 2 diabetes A1C (≥8%) and SBP (>130 mmHg) (n= 55) and usual care of these patients (n=53) for a period of 12 weeks at six University of Missouri Family and Internal Medicine Clinics queried from an electronic medical record every 2 weeks during the study enrollment phase. Study subjects recruitment occurred between May 2009 and August 2010 from an initial pool of 1,343 subjects with 108 agreeing to participate. Of which 53 and 55 subjects were randomly assigned to intervention and control respectively [1].
Results
The authors found no statistically significant difference in A1C or SBP between the two groups at baseline, at 3 and 6 months follow up periods though there was gender difference in SBP at baseline [1].
Conclusion
The author concluded that practices need to be selective in their use of telemonitoring of patients because the addition of telemonitoring technology alone is unlikely to lead to improvements in the targeted outcome in the short-terms [1].
Remarks about the article
The article shows that healthcare information technology (HIT) alone is not sufficient to bring about improvement in healthcare outcomes. It important to point out that other similar studies found significant difference in the same outcome of interest.
Related Articles
- Effect of Home Blood Pressure Telemonitoring and Pharmacist Management On Blood Pressure Control: The HyperLink Cluster Randomized Trial
- Stone, R. A., Rao, R. H., Sevick, M. A., Cheng, C., Hough, L. J., Macpherson, D. S., … Derubertis, F. R. (2010). Active care management supported by home telemonitoring in veterans with type 2 diabetes: the DiaTel randomized controlled trial. Diabetes Care, 33(3), 478–484. http://doi.org/10.2337/dc09-1012
- Bosworth, H. B., Olsen, M. K., Grubber, J. M., Neary, A. M., Orr, M. M., Powers, B. J., … Oddone, E. Z. (2009). Two self-management interventions to improve hypertension control: a randomized trial. Annals of Internal Medicine, 151(10), 687–95. http://doi.org/10.7326/0003-4819-151-10-200911170-00148
Reference
- ↑ 1.0 1.1 1.2 1.3 Wakefield, 2014. Effect of home telemonitoring on glycemic and blood pressure control in primary care clinic patients with diabetes http://online.liebertpub.com/doi/abs/10.1089/tmj.2013.0151
