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1.
BMC Public Health ; 18(1): 335, 2018 03 09.
Article in English | MEDLINE | ID: mdl-29523100

ABSTRACT

BACKGROUND: Researchers and policy-makers have identified loss to follow-up as a major programmatic problem. Therefore, the objective of this study is to quantify TB related pre-treatment loss to follow up and treatment delay in private sector health care facilities in Pakistan. METHODS: This was a retrospective, descriptive cohort study using routinely collected programmatic data from TB referral, diagnosis and treatment registers. Data from 48 private healthcare facilities were collected using an online questionnaire prepared in ODK Collect, for the period October 2015 to March 2016. Data were analysed using SPSS. We calculated the: (1) number and proportion of patients who were lost to follow-up during the diagnostic period, (2) number and proportion of patients with pre-treatment loss to follow-up, and (3) the number of days between diagnosis and initiation of treatment. RESULTS: One thousand five hundred ninety-six persons with presumptive TB were referred to the laboratory. Of these, 96% (n = 1538) submitted an on-the-spot sputum sample. Of the 1538 people, 1462 (95%) people subsequently visited the laboratory to submit the early morning (i.e. the second) sample. Hence, loss to follow-up during the diagnostic process was 8% overall (n = 134). Of the 1462 people who submitted both sputum samples, 243 (17%) were diagnosed with sputum smear-positive pulmonary TB and 231 were registered for anti-TB treatment, hence, loss in the pre-treatment phase was 4.9% (n = 12). 152 persons with TB (66%) initiated TB treatment either on the day of TB diagnosis or the next day. A further 79 persons with TB (34%) commenced TB treatment within a mean time of 7 days (range 2 to 64 days). CONCLUSION: Concentrated efforts should be made by the National TB Control Programme to retain TB patients and innovative methods such as text reminders and behavior change communication may need to be used and tested.


Subject(s)
Lost to Follow-Up , Time-to-Treatment/statistics & numerical data , Tuberculosis, Pulmonary/diagnosis , Tuberculosis, Pulmonary/therapy , Female , Humans , Male , Pakistan , Registries , Retrospective Studies , Sputum/microbiology
2.
BMC Res Notes ; 11(1): 40, 2018 Jan 16.
Article in English | MEDLINE | ID: mdl-29338777

ABSTRACT

BACKGROUND: Data quality is core theme of programme's performance assessment and many organizations do not have any data quality improvement strategy, wherein data quality dimensions and data quality assessment framework are important constituents. As there is limited published research about the data quality specifics that are relevant to the context of Pakistan's Tuberculosis control programme, this study aims at identifying the applicable data quality dimensions by using the 'fitness-for-purpose' perspective. RESULTS: Forty-two respondents pooled a total of 473 years of professional experience, out of which 223 years (47%) were in TB control related programmes. Based on the responses against 11 practical cases, adopted from the routine recording and reporting system of Pakistan's TB control programme (real identities of patient were masked), completeness, accuracy, consistency, vagueness, uniqueness and timeliness are the applicable data quality dimensions relevant to the programme's context, i.e. work settings and field of practice. CONCLUSION: Based on a 'fitness-for-purpose' approach to data quality, this study used a test-based approach to measure management's perspective and identified data quality dimensions pertinent to the programme and country specific requirements. Implementation of a data quality improvement strategy and achieving enhanced data quality would greatly help organizations in promoting data use for informed decision making.


Subject(s)
Data Accuracy , Program Evaluation/statistics & numerical data , Quality Improvement/statistics & numerical data , Tuberculosis/prevention & control , Delivery of Health Care/methods , Delivery of Health Care/standards , Delivery of Health Care/statistics & numerical data , Humans , Pakistan , Program Evaluation/methods , Program Evaluation/standards , Public Health/methods , Public Health/standards , Public Health/statistics & numerical data , Quality Control , Quality Improvement/standards
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