| Literature DB >> 29681044 |
Harshana Liyanage1, Siaw-Teng Liaw2, Emmanouela Konstantara1, Freda Mold3, Richard Schreiber4, Craig Kuziemsky5, Amanda L Terry6, Simon de Lusignan1.
Abstract
BACKGROUND: Patients' access to their computerised medical records (CMRs) is a legal right in many countries. However, little is reported about the benefit-risk associated with patients' online access to their CMRs.Entities:
Mesh:
Year: 2018 PMID: 29681044 PMCID: PMC6115222 DOI: 10.1055/s-0038-1641202
Source DB: PubMed Journal: Yearb Med Inform ISSN: 0943-4747
Number of final consensus statements for each of the Institute of Medicine domains of health care quality
| Domain | Description | Consensus statemnts |
|---|---|---|
| Safe | Avoiding harm to patients from the care that is intended to help them. | 3 |
| Effective | Providing services based on scientific knowledge to all who could benefit and refraining from providing services to those not likely to benefit (avoiding underuse and misuse, respectively). | 3 |
| Patient-centered | Providing care that is respectful of and responsive to individual patient preferences, needs, and values and ensuring that patient values guide all clinical decisions. | 4 |
| Timely | Reducing waits and sometimes harmful delays for both those who receive and those who give care. | 2 |
| Efficient | Avoiding waste including waste of equipment supplies ideas, and energy | 2 |
| Equitable | Providing care that does not vary in quality because of personal characteristics such as gender, ethnicity, geographic location, and socioeconomic status. | 2 |
Consensus statements generated from the analysis of Round 1's responses (with Agreement written in green, Equivocation in brown, and Disagreement in red)
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Fig. 1Distribution of the health informatics experts who participated to the Round 1.
Summary of consensus levels achieved during surveys to assess the appropriateness of the statements by the experts' panel
| Round 3 (15 original statements) | Round 5 (16 revised statements) | |
|---|---|---|
| Agreement | 5 | 12 |
| Equivocation | 8 | 2 |
| Disagreement | 2 | 2 |
Revised consensus statements used for the final round (with Agreement written in green, Equivocation in brown, and Disagreement in red)
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| Mechanism: Patients may identify errors in their prescriptions when they have time to consider them in detail. [Enabler] Equivocation (Weighted average: 6.75) |
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| Mechanism: Fear or actual breaches in confidentiality may inhibit patient disclosure. Pressures from family members, friends, carers, and others, which the patient may prefer not to happen, might occur. [Inhibitor] Weak Agreement (Weighted average: 6.04) |
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| Mechanism: Methods similar to what is used in the banking industry (such as the use of physical security tokens, mobile phone apps, or digital authentication). [Enabler] Strong Agreement (Weighted average: 7.39) |
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| Mechanism: Enablers of this may include enabling patients to validate (or correct errors in) their data; understand more about their condition, and better frame questions at their next visit. [Enabler] Strong agreement (Weighted average: 7.3) |
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| Mechanism: Many mechanisms may account for this, some are listed above. However, this gives the opportunity for experts to report if they overall feel that CMRs improve the quality of care. [Enabler] Weak agreement (Weighted average: 6.83) |
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| Mechanism: Enablers of this may include reducing the duplication of tests and improving slow sharing or missing information exchange between different health care providers. [Enabler] Weak agreement (Weighted average: 7.13) |
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| Mechanism: This may include patients accessing their CMRs to check previous medical results, which may help them set targets for their health until their next check-up and change their self-management behaviours. [Enabler] Strong agreement (Weighted average: 7.3) |
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| Mechanism: This may promote new ways of communication between patients and clinicians: patients can check clinicians' notes after their consultation. [Enabler] Strong agreement (Weighted average: 7.78) |
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| Mechanism: For example, patient using results which were provided by secondary care to discuss an issue with their primary care clinician. [Enabler] Strong agreement (Weighted average: 7.43) |
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| Mechanism: Reduce patient costs related to consultation, such as travel expenses, patient contribution expenses, etc. [Enabler] Weak agreement (Weighted average: 6.7) |
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| Mechanism: Many mechanisms can be involved, such as emergencies in a hospital setting or urgent prescriptions of drugs in primary care. [Enabler] Strong agreement (Weighted average: 7.39) |
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| Mechanism: Patients might add a large volume of data on an aspect of their care that is not the focus and which may overload their health care providers. This might include pictures, videos, or other data. [Inhibitor] Equivocation (Weighted average: 6.48) |
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| Mechanism: Enablers of this could be online self-services, such as appointment bookings or medication requests. [Enabler] Strong agreement (Weighted average: 8.17) |
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| Mechanism: Clinicians will need to use accessible and accurate language so that patients understand their notes. [Enabler] Weak agreement (Weighted average: 6.87) |
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| Mechanism: Online access could pose risks to privacy, security, confidentiality. [Enabler] Disagreement (Weighted average: 6.67) |
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| Mechanism: The problems for patients either to set-up an account and/or to login and/or to manage authentication may dissuade them from using the online system. [Inhibitor] Disagreement (Weighted average: 5.73) |