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Research article
Christian Gerdeskold
Karolinska Institutet
Corresponding Author
ORCiD: https://orcid.org/0000-0002-7772-5451
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Background Evidence-based information available at the point of care improves patient care outcomes. Online knowledge bases can increase the application of evidence-based medicine and influence patient outcome data which may be captured in quality registries. The aim of this study was to explore the effect of use of an online knowledge base on patient experiences and health care quality. Methods The study was conducted as a retrospective, observational study of 24 primary health care centers in Sweden exploring their use of an online knowledge base. Frequency of use was compared to patient outcomes in two national quality registries. A socio-economic care need index was applied to assess whether the burden of care influenced the results from those quality registries. Non-parametric statistical methods and linear regression were used. Results Frequency of knowledge base use showed two groups: frequent and non-frequent users, with a significant use difference between the groups (p<0.001). Outcome data showed significant higher values for all seven National Primary Care Patient Survey dimensions in the frequent compared to the non-frequent knowledge base users (p<0.001), whereas 10 out of 11 parameters in the National Diabetes Register showed no differences between the groups (p>0.05). Adjusting for care need index had almost no effect on the outcomes for the groups. Conclusions Frequent users of a national online knowledge base received higher ratings on patient experiences, but figures on health care quality in diabetes showed near to no correlation. The findings indicate that some effects may be attributed to the use of knowledge bases and requires a controlled evaluation.
Keywords
clinical decision support, information systems, knowledge bases, registries, primary care
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CURRENT STATUS: Published
View the published article at BMC Medical Informatics and Decision Making.
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Editorial decision: Accept
On 30 Oct, 2020
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On 29 Oct, 2020
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On 28 Oct, 2020
Editor invited
On 28 Oct, 2020
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Posted 04 Sep, 2020
Editorial decision: Minor revision
On 21 Oct, 2020
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On 20 Oct, 2020
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On 19 Oct, 2020
Editor invited
On 19 Oct, 2020
This version was not preprinted
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Editorial decision: Minor revision
On 12 Oct, 2020
Review #1 received
Received 11 Oct, 2020
Reviewer #2 agreed
On 16 Sep, 2020
Review #2 received
Received 16 Sep, 2020
Reviewer #1 agreed
On 13 Sep, 2020
Reviewers invited
Invitations sent on 12 Sep, 2020
Editor assigned
On 01 Sep, 2020
Submission checks complete
On 31 Aug, 2020
Editor invited
On 31 Aug, 2020
No comments provided
Review #2 received
Received 10 Aug, 2020
Editorial decision: Minor revision
On 10 Aug, 2020
Review #1 received
Received 06 Aug, 2020
Reviewer #2 agreed
On 26 Jul, 2020
Reviewer #1 agreed
On 17 Jul, 2020
Reviewers invited
Invitations sent on 15 Jul, 2020
Editor assigned
On 14 Jul, 2020
Submission checks complete
On 13 Jul, 2020
Editor invited
On 13 Jul, 2020
Version 1
Posted 19 Feb, 2020
No comments provided
Editorial decision: Major revision
On 08 Jun, 2020
Review #1 received
Received 27 Mar, 2020
Review #2 received
Received 27 Mar, 2020
Reviewer #2 agreed
On 15 Mar, 2020
Reviewer #1 agreed
On 10 Mar, 2020
Editor assigned
On 27 Feb, 2020
Reviewers invited
Invitations sent on 27 Feb, 2020
Submission checks complete
On 18 Feb, 2020
Editor invited
On 17 Feb, 2020
First submitted
On 09 Feb, 2020
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Medical Informatics
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A new preprint design is coming!
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See the published version of this preprint at BMC Medical Informatics and Decision Making.
This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Research article
Christian Gerdeskold
Karolinska Institutet
Corresponding Author
ORCiD: https://orcid.org/0000-0002-7772-5451
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Published
View the published article at BMC Medical Informatics and Decision Making.
No community comments so far
Editorial decision: Accept
On 30 Oct, 2020
Editor assigned
On 29 Oct, 2020
Submission checks complete
On 28 Oct, 2020
Editor invited
On 28 Oct, 2020
Version (no preprint)
Posted 04 Sep, 2020
Editorial decision: Minor revision
On 21 Oct, 2020
Editor assigned
On 20 Oct, 2020
Submission checks complete
On 19 Oct, 2020
Editor invited
On 19 Oct, 2020
This version was not preprinted
No comments provided
Editorial decision: Minor revision
On 12 Oct, 2020
Review #1 received
Received 11 Oct, 2020
Reviewer #2 agreed
On 16 Sep, 2020
Review #2 received
Received 16 Sep, 2020
Reviewer #1 agreed
On 13 Sep, 2020
Reviewers invited
Invitations sent on 12 Sep, 2020
Editor assigned
On 01 Sep, 2020
Submission checks complete
On 31 Aug, 2020
Editor invited
On 31 Aug, 2020
No comments provided
Review #2 received
Received 10 Aug, 2020
Editorial decision: Minor revision
On 10 Aug, 2020
Review #1 received
Received 06 Aug, 2020
Reviewer #2 agreed
On 26 Jul, 2020
Reviewer #1 agreed
On 17 Jul, 2020
Reviewers invited
Invitations sent on 15 Jul, 2020
Editor assigned
On 14 Jul, 2020
Submission checks complete
On 13 Jul, 2020
Editor invited
On 13 Jul, 2020
Version 1
Posted 19 Feb, 2020
No comments provided
Editorial decision: Major revision
On 08 Jun, 2020
Review #1 received
Received 27 Mar, 2020
Review #2 received
Received 27 Mar, 2020
Reviewer #2 agreed
On 15 Mar, 2020
Reviewer #1 agreed
On 10 Mar, 2020
Editor assigned
On 27 Feb, 2020
Reviewers invited
Invitations sent on 27 Feb, 2020
Submission checks complete
On 18 Feb, 2020
Editor invited
On 17 Feb, 2020
First submitted
On 09 Feb, 2020
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Medical Informatics
License:
This work is licensed under a CC BY 4.0 License. Read Full License
View the published article at BMC Medical Informatics and Decision Making.
Background Evidence-based information available at the point of care improves patient care outcomes. Online knowledge bases can increase the application of evidence-based medicine and influence patient outcome data which may be captured in quality registries. The aim of this study was to explore the effect of use of an online knowledge base on patient experiences and health care quality. Methods The study was conducted as a retrospective, observational study of 24 primary health care centers in Sweden exploring their use of an online knowledge base. Frequency of use was compared to patient outcomes in two national quality registries. A socio-economic care need index was applied to assess whether the burden of care influenced the results from those quality registries. Non-parametric statistical methods and linear regression were used. Results Frequency of knowledge base use showed two groups: frequent and non-frequent users, with a significant use difference between the groups (p<0.001). Outcome data showed significant higher values for all seven National Primary Care Patient Survey dimensions in the frequent compared to the non-frequent knowledge base users (p<0.001), whereas 10 out of 11 parameters in the National Diabetes Register showed no differences between the groups (p>0.05). Adjusting for care need index had almost no effect on the outcomes for the groups. Conclusions Frequent users of a national online knowledge base received higher ratings on patient experiences, but figures on health care quality in diabetes showed near to no correlation. The findings indicate that some effects may be attributed to the use of knowledge bases and requires a controlled evaluation.
Figure 1
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