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Does health-related quality of life among adults with pulmonary tuberculosis improve across the treatment period? A hospital-based cross sectional study in Mbale Region, Eastern Uganda

Overview of attention for article published in BMC Research Notes, October 2016
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Title
Does health-related quality of life among adults with pulmonary tuberculosis improve across the treatment period? A hospital-based cross sectional study in Mbale Region, Eastern Uganda
Published in
BMC Research Notes, October 2016
DOI 10.1186/s13104-016-2277-y
Pubmed ID
Authors

Stevens M. B. Kisaka, Elizeus Rutebemberwa, Simon Kasasa, Francis Ocen, Joan Nankya-Mutyoba

Abstract

Most tuberculosis (TB) case management guidelines emphasize microbiological cure as treatment goal without highlighting quality of life outcomes. This study assessed health-related quality of life (HRQoL) and related factors in the pre-treatment, intensive and continuation phases of anti-TB therapy among sputum smear positive pulmonary TB patients in Mbale region, Eastern Uganda. In this cross-sectional study, questionnaires and 36-Item Short-Form Health Survey Version 2.0 (UK English SF36v2) forms were administered to 210 participants of whom 64.8 % were males. The mean age was 35.48 ± 12.21 years. For each of the three treatment phases, different patients were studied. Responses were translated into the standard 00-100 scale. Means and standard deviations were used to express HRQoL as physical composite scores (PCS) and mental composite scores (MCS). Analysis of variance was used to compare scores across phases. Multiple linear regression methods were used to model relationships between predictor variables and HRQoL for each treatment phase. HRQoL scores were different across treatment phases. General health (38.8 ± 17.5) and mental health (52.7 ± 18.6) had the lowest and highest sub-scale scores respectively. Mean PCS scores in pretreatment, intensive and continuation phases were 29.9 ± 19.4, 41.9 ± 14.2 and 62.2 ± 18.8 respectively. Mean MCS scores in the pretreatment, intensive and continuation phases were 38.8 ± 18.3, 49.4 ± 13.1 and 60.6 ± 18.8 respectively. Prior to treatment initiation, having an informal occupation (β = -28.66 (<0.001) was associated with poor HRQoL. Being unmarried (β = 11.94, p = 0.028) and belonging to the highest tertile of socioeconomic status (SES) (β = 14.56, p = 0.007) were associated with good HRQoL in the intensive phase. In the continuation phase, SES (β = 10.83, p = 0.021 for MCS and β = 13.14, p = 0.004 for PCS) predicted good HRQoL. Older age (β = -0.43 p = 0.013 for PCS and β = -0.36 p = 0.040 for MCS) was associated with poor HRQoL. TB treatment improved patients' perceived health and having means of income was particularly associated with high HRQoL. Strategies to strengthen treatment support that include income generation and specific close monitoring of older patients may help improve overall TB treatment experience, by sustaining acceptable levels of physical, social and emotional functioning.

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Peru 1 <1%
Unknown 110 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 17 15%
Researcher 10 9%
Student > Ph. D. Student 10 9%
Student > Bachelor 8 7%
Student > Postgraduate 8 7%
Other 13 12%
Unknown 45 41%
Readers by discipline Count As %
Medicine and Dentistry 26 23%
Nursing and Health Professions 21 19%
Economics, Econometrics and Finance 3 3%
Agricultural and Biological Sciences 2 2%
Social Sciences 2 2%
Other 11 10%
Unknown 46 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 November 2016.
All research outputs
#15,395,259
of 22,903,988 outputs
Outputs from BMC Research Notes
#2,320
of 4,271 outputs
Outputs of similar age
#199,014
of 316,309 outputs
Outputs of similar age from BMC Research Notes
#19
of 37 outputs
Altmetric has tracked 22,903,988 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,271 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 33rd percentile – i.e., 33% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 316,309 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.