BACKGROUND: Although the ultimate goal of asthma treatment is to improve asthma-specific Health-Related Quality-Of-Life (HRQOL), in the UK population this is insufficiently studied. National asthma-specific HRQOL data is needed to inform strategies to address this condition. AIMS AND OBJECTIVES: To benchmark asthma-specific HRQOL in a national survey of adults with asthma, and explore differences in this measure within subsections of the population. METHODS: We analysed answers to the Marks Asthma Quality-of-Life Questionnaire (AQLQ-M) from a representative sample of 658 adults with asthma. Respondents answered asthma-specific questions to assess control, previous hospital admissions, asthma attacks and an indicator of severity. Higher scores indicate poorer HRQOL (maximum = 60). The highest quintile formed a subgroup 'Poor HRQOL'. Data were weighted to correct for any biases caused by differential non-response. Chi-square analyses were used to determine differences between good and poor quality of life and regression analyses performed to determine what factors are associated with poor HRQOL. RESULTS: The response rate was 49%. AQLQ-M median (IQR) scores were 5 (2-13) for the total sample (poor HRQOL = 21, good HRQOL = 3). Significant differences between good and poor HRQOL were observed in smoking status, SES, employment status and co-morbidities, but no differences were found between age groups. Those with poorly controlled asthma were significantly more likely to have poor HRQOL, ≥1 breathing related hospital admission or ≥1 asthma attack. CONCLUSIONS: This article provides benchmarking data on asthma-specific HRQOL. Improved strategies are needed to target interventions towards people experiencing poor HRQOL.
BACKGROUND: Although the ultimate goal of asthma treatment is to improve asthma-specific Health-Related Quality-Of-Life (HRQOL), in the UK population this is insufficiently studied. National asthma-specific HRQOL data is needed to inform strategies to address this condition. AIMS AND OBJECTIVES: To benchmark asthma-specific HRQOL in a national survey of adults with asthma, and explore differences in this measure within subsections of the population. METHODS: We analysed answers to the Marks Asthma Quality-of-Life Questionnaire (AQLQ-M) from a representative sample of 658 adults with asthma. Respondents answered asthma-specific questions to assess control, previous hospital admissions, asthma attacks and an indicator of severity. Higher scores indicate poorer HRQOL (maximum = 60). The highest quintile formed a subgroup 'Poor HRQOL'. Data were weighted to correct for any biases caused by differential non-response. Chi-square analyses were used to determine differences between good and poor quality of life and regression analyses performed to determine what factors are associated with poor HRQOL. RESULTS: The response rate was 49%. AQLQ-M median (IQR) scores were 5 (2-13) for the total sample (poor HRQOL = 21, good HRQOL = 3). Significant differences between good and poor HRQOL were observed in smoking status, SES, employment status and co-morbidities, but no differences were found between age groups. Those with poorly controlled asthma were significantly more likely to have poor HRQOL, ≥1 breathing related hospital admission or ≥1 asthma attack. CONCLUSIONS: This article provides benchmarking data on asthma-specific HRQOL. Improved strategies are needed to target interventions towards people experiencing poor HRQOL.
Entities:
Keywords:
Asthma; cross-sectional survey; quality of life
Authors: Nila Patrícia Freire Pequeno; Natália Louise de Araújo Cabral; Dirce Maria Marchioni; Severina Carla Vieira Cunha Lima; Clélia de Oliveira Lyra Journal: Health Qual Life Outcomes Date: 2020-06-30 Impact factor: 3.186
Authors: Janette Yung; Sukhminder Osahan; Stephen M Friedman; Jiehui Li; James E Cone Journal: Int J Environ Res Public Health Date: 2019-05-30 Impact factor: 3.390