Impact of measurement error on predicting population-based inpatient glucose control
Aim: Instrument measurement error (ME) may affect ability of damped trend analysis to forecast inpatient glycemic control. Materials & methods: A statistical approach was developed to introduce ME into damped trend analysis algorithm. Point-of-care blood glucose device data were extracted from t...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2019-06-01
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| Series: | Future Science OA |
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| Online Access: | https://www.future-science.com/doi/10.2144/fsoa-2019-0003 |
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| author | George E Saulnier Janna C Castro Curtiss B Cook |
| author_facet | George E Saulnier Janna C Castro Curtiss B Cook |
| author_sort | George E Saulnier |
| collection | DOAJ |
| description | Aim: Instrument measurement error (ME) may affect ability of damped trend analysis to forecast inpatient glycemic control. Materials & methods: A statistical approach was developed to introduce ME into damped trend analysis algorithm. Point-of-care blood glucose device data were extracted from the laboratory system. Forecasts were generated from various inpatient subgroups and time intervals. Results: ME produced differences in damped trend model during the forecast learning cycle. However, forecast trajectory stayed identical regardless of ME in 85% (119/140) of studied scenarios. Forecasts did not change with greater ME. Conclusion: ME inherent in the point-of-care blood glucose device had little effect on trajectory of damped trend exponential forecasts and apparently would not influence decision making in inpatient glycemic control algorithms. |
| format | Article |
| id | doaj-art-57d3e378b70e483eba93706948a2bd59 |
| institution | OA Journals |
| issn | 2056-5623 |
| language | English |
| publishDate | 2019-06-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Future Science OA |
| spelling | doaj-art-57d3e378b70e483eba93706948a2bd592025-08-20T02:25:49ZengTaylor & Francis GroupFuture Science OA2056-56232019-06-015510.2144/fsoa-2019-0003Impact of measurement error on predicting population-based inpatient glucose controlGeorge E Saulnier0Janna C Castro1Curtiss B Cook21Department of Information Technology, Mayo Clinic, Phoenix, AZ 85054, USA1Department of Information Technology, Mayo Clinic, Phoenix, AZ 85054, USA2Mayo Clinic Hospital, Phoenix, Arizona, & Division of Endocrinology, Mayo Clinic, Scottsdale, Arizona, AZ 85259, USAAim: Instrument measurement error (ME) may affect ability of damped trend analysis to forecast inpatient glycemic control. Materials & methods: A statistical approach was developed to introduce ME into damped trend analysis algorithm. Point-of-care blood glucose device data were extracted from the laboratory system. Forecasts were generated from various inpatient subgroups and time intervals. Results: ME produced differences in damped trend model during the forecast learning cycle. However, forecast trajectory stayed identical regardless of ME in 85% (119/140) of studied scenarios. Forecasts did not change with greater ME. Conclusion: ME inherent in the point-of-care blood glucose device had little effect on trajectory of damped trend exponential forecasts and apparently would not influence decision making in inpatient glycemic control algorithms.https://www.future-science.com/doi/10.2144/fsoa-2019-0003endocrinologyoutcomes researchprognostics |
| spellingShingle | George E Saulnier Janna C Castro Curtiss B Cook Impact of measurement error on predicting population-based inpatient glucose control Future Science OA endocrinology outcomes research prognostics |
| title | Impact of measurement error on predicting population-based inpatient glucose control |
| title_full | Impact of measurement error on predicting population-based inpatient glucose control |
| title_fullStr | Impact of measurement error on predicting population-based inpatient glucose control |
| title_full_unstemmed | Impact of measurement error on predicting population-based inpatient glucose control |
| title_short | Impact of measurement error on predicting population-based inpatient glucose control |
| title_sort | impact of measurement error on predicting population based inpatient glucose control |
| topic | endocrinology outcomes research prognostics |
| url | https://www.future-science.com/doi/10.2144/fsoa-2019-0003 |
| work_keys_str_mv | AT georgeesaulnier impactofmeasurementerroronpredictingpopulationbasedinpatientglucosecontrol AT jannaccastro impactofmeasurementerroronpredictingpopulationbasedinpatientglucosecontrol AT curtissbcook impactofmeasurementerroronpredictingpopulationbasedinpatientglucosecontrol |