Measuring health-related quality of life in cervical cancer patients: a systematic review of the most used questionnaires and their validity

Objectives: The objectives of this study were to identify and qualitatively describe, in a systematic literature review, published studies that collected prostate cancer patients’ health-related quality of life (HRQoL) estimates by using validated, generic instruments.Methods: Systematic searches of the literature were made using the Medline, Cochrane Library, PsycINFO, and CINAHL electronic databases from 2002 to 2015.Results: The search identified 2,171 references, of which 237 were obtained for full-text assessment; thirty-three of these articles were deemed relevant and included in the systematic review. An indirect valuation method was used in 73 percent (n = 24) of the studies. The most commonly used HRQoL instrument with an indirect valuation method was the EuroQol (EQ-5D; n = 21), and the second most common was the 15D (n = 5). A direct valuation method was used in 48 percent (n = 16) of the studies. Of these, the Visual Analogue Scale (VAS) was the most often used (n = 10), followed by the Time-Trade-Off (n = 6). HRQoL scores varied in localized and early stage disease between 0.63 and 0.91, and in advanced or metastatic disease stage between 0.50 and 0.87. There was also variance in the HRQoL instruments and study methods used, which explains the large variance in HRQoL scores between the various disease stages.Conclusions: Although utility and quality-adjusted life-years gained are considered important measures of effectiveness in health care, the number of studies in which utilities of prostate cancer patients have been estimated using generic HRQoL instruments, based on either direct or indirect measurement of HRQoL, is fairly small.

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A systematic review of the use and validation of health-related quality of life instruments in older cancer patients

European Journal of Cancer ◽

10.1016/j.ejca.2008.07.036 ◽

2009 ◽

Vol 45 (1) ◽

pp. 19-32 ◽

Cited By ~ 37

Author(s):

Deborah Fitzsimmons ◽

Jacqueline Gilbert ◽

Frances Howse ◽

Teresa Young ◽

Juan-Ignacio Arrarras ◽

...

Keyword(s):

Quality Of Life ◽

Systematic Review ◽

Cancer Patients ◽

Health Related Quality ◽

Related Quality ◽

Health Related ◽

Older Cancer Patients ◽

Quality Of Life Instruments

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The Impacts of Depression Treatment on Health-Related Quality of Life in Cancer Patients: A Systematic Review

Jurnal NERS ◽

10.20473/jn.v14i3.17060 ◽

2020 ◽

Vol 14 (3) ◽

pp. 209

Author(s):

Andrik Hermanto ◽

Gabriel Wanda Sinawang ◽

Mohamad Roni Alfaqih ◽

Rohmatul Faizah

Keyword(s):

Quality Of Life ◽

Systematic Review ◽

Cancer Patients ◽

Negative Impact ◽

Depression Treatment ◽

Health Related Quality ◽

Related Quality ◽

Health Related ◽

The Impact

Introduction: Cancer diagnosis can have a profound negative impact on the health-related quality of life (HRQoL) of cancer patients. Cancer patients also suffer from psychological pressures including sadness, depression, hopelessness, anxiety and worry. The literature review was employed to determine the effects of depression on health-related quality of life (HRQoL) in cancer patients.Methods: A systematic review was conducted by searching the Science Direct, Scopus and Google Scholar databases. The integrative review of the 10 articles was focused on the 10 years period from 2008 to 2018. The language used was English and the search was conducted using predefined keywords.Results: All of the journals discussed the impact of depression treatment on health-related quality of life in cancer patients. Based on all of the journals, depression can be reduced by health education, physical activity and medicine therapyConclusion: Despite the treatment for depression, the patient’s HRQoL did not improve during the measurement timeframe. Quality of life is a priority health outcome in cancer treatment but the clinical approaches to ameliorate depression in cancer patients appear to be suboptimal.

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Development of expert system that improve the decision-making process with an emphasis on health-related quality of life in elderly patients with a colon cancer.

Journal of Global Oncology ◽

10.1200/jgo.2019.5.suppl.113 ◽

2019 ◽

Vol 5 (suppl) ◽

pp. 113-113

Author(s):

Polina Shilo ◽

Aleksandra Kanina

Keyword(s):

Quality Of Life ◽

Systematic Review ◽

Colon Cancer ◽

Prediction Model ◽

Cancer Patients ◽

Health Related Quality ◽

Model Quality ◽

Related Quality ◽

Health Related

113 Background: Health-Related Quality of Life (HRQoL) is an important issue for elderly patients with colon cancer. We created the expert system which allows to predict low level of HRQoL and accessed it’s quality by using several simulation studies. Methods: We performed a systematic review to figure out the known factors associated with low level of HRQoL in elderly colon cancer patients. The searches were performed in PubMed. We accessed the possible impact of several factors affecting HRQoL, including symptoms, comorbidities and treatment toxicity. All relevant factors were included in prediction model. We assigned the different weights to different factors based on evaluation of clinical studies to develop the logistic regression and Markov stochastic model later. As we needed a binary dependent variable we performed the ROC analysis to figure out an optimal cutoff of HRQoL. Then we simulated a partly virtual dataset based on elderly colon cancer patients diagnosed in Davidovskiy Hospital to evaluate the prediction model quality. All statistical calculations were performed in RStudio. The simulation part was performed using simFrame R package. Results: Twenty two studies with a total number of 2516 patients were included in our systematic review. The 39 factors with different weights were included prediction model with different weights assigned. The weights range varied from 1 to 18.6. The adjusted proportion of summary score's variance (R2 ) varied from 0.09 to 0.47 in univariate analysis. The final logistic regression model quality was moderate: the Nagelkerke R-square coefficient was 57.9. However, the developed model showed a 76% sensitivity and 61% specificity in predicting of lower HRQoL level. Conclusions: Our prediction model allows to prospectively manage of elderly colon cancer patients, making the emphasis on HRQoL. However, the present study has some restrictions: simulation nature of internal validation, possible underestimating of the rare events impact. The long-term comprehensive approach with external validation using large real data analysis is needed to evaluate our prediction model.

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