scholarly journals Comparison of health-related quality of Life (HRQOL) among patients with pre-diabetes, diabetes and normal glucose tolerance, using the 15D-HRQOL questionnaire in Greece: the DEPLAN study

2018 ◽  
Vol 18 (1) ◽  
Author(s):  
Konstantinos Makrilakis ◽  
Stavros Liatis ◽  
Afroditi Tsiakou ◽  
Chryssoula Stathi ◽  
Eleftheria Papachristoforou ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Glucose Tolerance ◽  
Normal Glucose Tolerance ◽  
Health Related Quality ◽  
Hrqol Questionnaire ◽  
Normal Glucose ◽  
Related Quality ◽  
Health Related

Longitudinal changes in health-related quality of life in normal glucose tolerance, prediabetes and type 2 diabetes: results from the KORA S4/F4 cohort study

2014 ◽  
Vol 23 (9) ◽  
pp. 2515-2520 ◽  
Author(s):  
Matthias Hunger ◽  
Rolf Holle ◽  
Christa Meisinger ◽  
Wolfgang Rathmann ◽  
Annette Peters ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Type 2 Diabetes ◽  
Cohort Study ◽  
Normal Glucose Tolerance ◽  
Health Related Quality ◽  
Normal Glucose ◽  
Related Quality ◽  
Health Related

IHAE-Qol: Specific Health-Related Quality Of Life (HRQoL) Questionnaire In Hereditary Angioedema Due To C1 Inhibitor Deficiency (HAE-C1INH)

2014 ◽  
Vol 133 (2) ◽  
pp. AB33 ◽  
Author(s):  
Nieves Prior ◽  
Eduardo Remor ◽  
Elia Pérez-Fernández ◽  
Carmen Gómez-Traseira ◽  
Magdalena Julia Caminoa ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Hereditary Angioedema ◽  
Health Related Quality ◽  
C1 Inhibitor ◽  
C1 Inhibitor Deficiency ◽  
Hrqol Questionnaire ◽  
Related Quality ◽  
Health Related ◽  
Specific Health

scholarly journals Assessment of health related quality of life of asthma patients in a tertiary care teaching hospital

2019 ◽  
Vol 6 (2) ◽  
pp. 654
Author(s):  
Shrishailgouda S. Patil ◽  
Archana Oggu ◽  
Shravan Jayachandran ◽  
Neha Patil ◽  
H. Doddayya
Keyword(s):  
Quality Of Life ◽  
Health Related Quality ◽  
Hrqol Questionnaire ◽  
Asthma Patients ◽  
Related Quality ◽  
Health Related ◽  
Mental Hrqol ◽  
The Mean ◽  
Physical Hrqol

Background: The present study is planned to assess the health related quality of life (HRQoL) in asthma patients by using HRQoL questionnaire (SF-36 v2).Methods: A prospective observational study was conducted for a period of 6 months (September 2017 to February 2018) in Navodaya Medical College Hospital and Research Centre, Raichur on a total of 108 patients of either sex suffering from persistent asthma. The HRQoL of asthma patients was measured by face-to-face interview using HRQoL questionnaire (SF-36v2).Results: Female patients were found to be more affected with asthma compared to male patients and the prevalence of asthma is found to be more in the middle aged and elderly patients compared to adults. The important triggering factors for the asthma were found to be exposure to dust, smoking, alcohol and cooking fuel. The mean physical component summary (PCS) scores is 47.46 (±15.56) and the mean mental component summary (MCS) scores is 66.73 (±13.59). The findings of our study reveals that the physical HRQoL is more affected compared to mental HRQoL as revealed by PCS and MCS scores.Conclusions: The findings of our study conclusively suggest that the physical HRQoL is more affected than mental HRQoL in asthma patients and also the need to improve the quality of life in these patients by appropriate patient education regarding the triggering factors of asthma, preventive measures and the medication adherence.

scholarly journals Mobile App Delivery of the EORTC QLQ-C30 Questionnaire to Assess Health-Related Quality of Life in Oncological Patients: Usability Study (Preprint)

2017 ◽  
Author(s):  
Kerstin A Kessel ◽  
Marco M E Vogel ◽  
Anna Alles ◽  
Sophie Dobiasch ◽  
Hanna Fischer ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Mobile Apps ◽  
Usability Study ◽  
Health Related Quality ◽  
Hrqol Questionnaire ◽  
Oncological Patients ◽  
Related Quality ◽  
Health Related ◽  
Hrqol Assessment

BACKGROUND Mobile apps are evolving in the medical field. However, ongoing discussions have questioned whether such apps are really valuable and whether patients will accept their use in day-to-day clinical life. Therefore, we initiated a usability study in our department. OBJECTIVE We present our results of the first app prototype and patient testing of health-related quality of life (HRQoL) assessment in oncological patients. METHODS We developed an app prototype for the iOS operating system within eight months in three phases: conception, initial development, and pilot testing. For the HRQoL assessment, we chose to implement only the European Organization for Research and Treatment of Cancer (EORTC) Quality of Life Questionnaire-Core 30 (QLQ-C30; German version 3). Usability testing was conducted for three months. Participation was voluntary and pseudonymized. After completion of the QLQ-C30 questionnaire using iPads provided by our department, we performed a short survey with 10 questions. This survey inquired about patients’ opinions regarding general aspects, including technical advances in medicine, mobile and app assistance during cancer treatment, and the app-specific functions (eg, interface and navigation). RESULTS After logging into the app, the user can choose between starting a questionnaire, reviewing answers (administrators only), and logging out. The questionnaire is displayed with the same information, questions, and answers as on the original QLQ-C30 sheet. No alterations in wording were made. Usability was tested with 81 patients; median age was 55 years. The median time for completing the HRQoL questionnaire on the iPad was 4.0 minutes. Of all participants, 84% (68/81) owned a mobile device. Similarly, 84% (68/81) of participants would prefer a mobile version of the HRQoL questionnaire instead of a paper-based version. Using the app in daily life during and after cancer treatment would be supported by 83% (67/81) of participants. In the prototype version of the app, data were stored on the device; in the future, 79% (64/81) of the patients would agree to transfer data via the Internet. CONCLUSIONS Our usability test showed good results regarding attractiveness, operability, and understandability. Moreover, our results demonstrate a high overall acceptance of mobile apps and telemedicine in oncology. The HRQoL assessment via the app was accepted thoroughly by patients, and individuals are keen to use it in clinical routines, while data privacy and security must be ensured.

KIDSCREEN-27 Health-Related Quality of Life (HRQoL) Questionnaire

2007 ◽  
Author(s):  
Ulrike Ravens-Sieberer ◽  
◽  
Pascal Auquier ◽  
Michael Erhart ◽  
Angela Gosch ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Health Related Quality ◽  
Hrqol Questionnaire ◽  
Related Quality ◽  
Health Related

scholarly journals Comparing health-related quality of life in modified Rankin Scale grades: 15D results from 323 patients with brain arteriovenous malformation and population controls

2021 ◽  
Author(s):  
Anni Pohjola ◽  
Elias Oulasvirta ◽  
Risto P. Roine ◽  
Harri P. Sintonen ◽  
Ahmad Hafez ◽  
...  
Keyword(s):  
Quality Of Life ◽  
General Population ◽  
Arteriovenous Malformation ◽  
Modified Rankin Scale ◽  
Health Related Quality ◽  
Brain Arteriovenous Malformation ◽  
Hrqol Questionnaire ◽  
Related Quality ◽  
Health Related

Abstract Background We wanted to understand how patients with different modified Rankin Scale (mRS) grades differ regarding their health-related quality of life (HRQoL) and how this affects the interpretation and dichotomization of the grade. Methods In 2016, all adult patients in our brain arteriovenous malformation (AVM) database (n = 432) were asked to fill in mailed letters including a questionnaire about self-sufficiency and lifestyle and the 15D HRQoL questionnaire. The follow-up mRS was defined in 2016 using the electronic patient registry and the questionnaire data. The 15D profiles of each mRS grade were compared to those of the general population and to each other, using ANCOVA with age and sex standardization. Results Patients in mRS 0 (mean 15D score = 0.954 ± 0.060) had significantly better HRQoL than the general population (mean = 0.927 ± 0.028), p < 0.0001, whereas patients in mRS 1–4 had worse HRQoL than the general population, p < 0.0001. Patients in mRS 1 (mean = 0.844 ± 0.100) and mRS 2 (mean = 0.838 ± 0.107) had a similar HRQoL. In the recently published AVM research, the most commonly used cut points for mRS dichotomization were between mRS 1 and 2 and between mRS 2 and 3. Conclusions Using 15D, we were able to find significant differences in the HRQoL between mRS 0 and mRS 1 AVM patients, against the recent findings on stroke patients using EQ-5D in their analyses. Although the dichotomization cut point is commonly set between mRS 1 and 2, patients in these grades had a similar HRQoL and a decreased ability to continue their premorbid lifestyle, in contrast to patients in mRS 0.

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