Descriptions for datafiles for the Data Publication 'Data from: Drug-resistant tuberculosis in the Torres Strait / Papua New Guinea border Region [Chapter 4 PhD Thesis]' located at DOI: doi.org/10.25903/jf55-1755

FILE: CHAPTER 4.1 - SPATIOTEMPORAL MAPPING OF DRUG-RESISTANT TB.SAV
Includes sex, village abbreviation, TB drug resistance profile, and year of diagnosis.

FILE: CHAPTER 4.3 - TIME TO TREAT.SAV  
Dataset on the time to commencement of effective treatment in patients with drug-resistant tuberculosis diagnosed in the Torres Strait / Papua New Guinea cross-border region.

Effective treatment was defined as the implementation of appropriate second-line TB treatment for rifampicin-resistant (RR) / multidrug-resistant (MDR)-TB cases and appropriate TB treatment for other drug-resistant cases, whether this was programmatic / empiric or personalised.

Patient Delay was defined as the time in days from self-reported TB symptom onset to presentation at a health facility in the Torres Strait.

Health System Delay was defined as the time in days from presentation at a health facility to being diagnosed with TB.

Treatment Delay was defined as the time in days from diagnosis to event – effective treatment commencement.

Diagnosis year group reflects the changes in programmatic TB responses in the remote Torres Strait / PNG international border that occurred over time.

Abbreviations in the dataset – Dx (diagnosis); Rx (treatment); tsf (transfer); GXP (Xpert® MTB/Rif Assay); DR (drug-resistance); TB (tuberculosis)

Top Western – the location of the Primary Health Centre at which the patient presented. The top Western Cluster of the Torres Strait Islands is inclusive of Saibai, Boigu and Dauan Islands. 

To ascertain the mean, the variable titled Dx_to_Event2 was used.

FILE: CHAPTER 4.4 - MULTIPLE IMPUTATION.SAV
Dataset for Predictors of unfavourable outcome in patients diagnosed with drug-resistant tuberculosis in the Torres Strait / Papua New Guinea border region.

This is a Multiple Imputation dataset. In addition to the original data, a multiple imputation dataset contains multiple copies of the data in which missing values have been replaced with imputed values. If you want this dataset to be treated as a multiple imputation dataset in SPSS, use the SPLIT FILE command to define the Imputation_variable as a SPLIT FILE variable before performing analyses.

Recoded blood variables are inclusive of all multiple imputation.

Bloods Coding
Haemoglobin z-score parameters
0 – not anaemic (-2 or more)
1 – mild anaemia (-2.01 to -5.00)
2 – severe anaemia (-5.01 or less)

Albumin z-score parameters
0 – albumin not low (greater than or equal to -2.00)
1 – low albumin (-2.01 or less)

Lymphocyte z-score parameters
0 – other level (greater than or equal to -2.00)
1 – low level (-2.01 or less)

FILE: CHAPTER 4.4 - ALL PATIENTS.sav 
Full Dataset of 133 patients with blood results for Predictors of unfavourable outcome in patients diagnosed with drug-resistant tuberculosis in the Torres Strait / Papua New Guinea border region. This dataset contains the same patient line items as Dataset Chapter 4.3