Article 6: Disability Access and the NIH Toolbox: Evaluation and Implementation of Accessibility Guidelines in Health Outcome Measurement

2009 ◽  
Vol 90 (10) ◽  
pp. e4 ◽  
Author(s):  
Susan Magasi ◽  
Mark Harniss ◽  
Debbie Cook ◽  
Jeff Witzel
Keyword(s):  
Health Outcome ◽  
Outcome Measurement ◽  
Accessibility Guidelines ◽  
Health Outcome Measurement

scholarly journals Routine Health Outcome Measurement: Development, Design, and Implementation of the Hand and Wrist Cohort

2020 ◽  
Vol 146 (2) ◽  
pp. 343-354 ◽  
Author(s):  
Ruud W. Selles ◽  
Robbert M. Wouters ◽  
Ralph Poelstra ◽  
Mark J. W. van der Oest ◽  
Jarry T. Porsius ◽  
...  
Keyword(s):  
Health Outcome ◽  
Outcome Measurement ◽  
Measurement Development ◽  
Design And Implementation ◽  
Health Outcome Measurement

scholarly journals Hua Oranga: Service Utility Pilot of a Mental Health Outcome Measurement for an Indigenous Population

2013 ◽  
Vol 4 (3) ◽  
Author(s):  
Kahu McClintock ◽  
Ana Sokratov ◽  
Graham Mellsop ◽  
Te Kani Kingi
Keyword(s):  
Mental Health ◽  
Health Outcome ◽  
Outcome Measurement ◽  
Mental Health Outcome ◽  
Measurement Tool ◽  
Aotearoa New Zealand ◽  
Recording Analysis ◽  
Indigenous Mental Health ◽  
Maori Health ◽  
Health Outcome Measurement

The key areas of development in this study were the criteria for the use of the Hua Oranga, an Indigenous mental health outcome measurement tool for use with Māori, the Indigenous people of Aotearoa (New Zealand). The application of the Hua Oranga was expected to improve the care and treatment of tangata whaiora (consumers) in partnership with whānau (family) and clinicians. The Outcomes Recording Analysis (ORA) database (www.ORAdatabase.co.nz), which receives the Hua Oranga data and generates the Hua Oranga reports was essential to this improvement. This development contributes to the skill and expertise of clinicians in interpreting Māori health information that benefit Māori.

scholarly journals Web-Based Patient-Reported Outcomes Using the International Consortium for Health Outcome Measurement Dataset in a Major German University Hospital: Observational Study (Preprint)

2018 ◽  
Author(s):  
Maria M Karsten ◽  
Dorothee Speiser ◽  
Claudia Hartmann ◽  
Nele Zeuschner ◽  
Kai Lippold ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Health Outcome ◽  
Outcome Measurement ◽  
Return Rate ◽  
University Hospital ◽  
Web Based ◽  
International Consortium ◽  
Breast Center ◽  
Patient Reported ◽  
Health Outcome Measurement

BACKGROUND Collecting patient-reported outcome (PRO) data systematically enables objective evaluation of treatment and its related outcomes. Using disease-specific questionnaires developed by the International Consortium for Health Outcome Measurement (ICHOM) allows for comparison between physicians, hospitals, and even different countries. OBJECTIVE This pilot project aimed to establish a digital system to measure PROs for new patients with breast cancer who attended the Charité Breast Center This approach should serve as a blueprint to further expand the PRO measurement to other disease entities and departments. METHODS In November 2016, we implemented a Web-based system to collect PRO data at Charité Breast Center using the ICHOM dataset. All new patients at the Breast Center were enrolled and answered a predefined set of questions using a tablet computer. Once they started their treatment at Charité, automated emails were sent to the patients at predefined treatment points. Those emails contained a Web-based link through which they could access and answer questionnaires. RESULTS By now, 541 patients have been enrolled and 2470 questionnaires initiated. Overall, 9.4% (51/541) of the patients were under the age of 40 years, 49.7% (269/541) between 40 and 60 years, 39.6% (214/541) between 60 and 80 years, and 1.3% (7/541) over the age of 80 years. The average return rate of questionnaires was 67.0%. When asked about the preference regarding paper versus Web-based questionnaires, 6.0% (8/134) of the patients between 50 and 60 years, 6.0% (9/150) between 60 and 70 years, and 12.7% (9/71) over the age of 70 years preferred paper versions. CONCLUSIONS Measuring PRO in patients with breast cancer in an automated electronic version is possible across all age ranges while simultaneously achieving a high return rate.

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