Abstract:
Tuberculosis (TB) is one of the leading causes of death worldwide. In the recent years,
Kenya has recorded a high prevalence of TB and a greater proportion of patients with
negative treatment outcomes. This study addressed the challenge of negative treatment
outcomes through a positive deviance-based nutrition education intervention for patients
with active TB. The objectives of the study were: to determine the practices associated
with TB treatment outcomes; the influence of nutrition education on nutritional status; the
influence of the intervention on sputum smear conversion; and the effects of the nutrition
intervention on clinical signs among TB patients. A quasi-experimental with pre-post-test
design was adopted. Positive deviance inquiry was used to identify best practices among
216 persons who had completed treatment within the year preceding the study. The best
practices were adopted for the intervention. For the intervention and control arms, 192
newly diagnosed TB patients were recruited through multistage cluster sampling. The
sample was distributed such that 96 were enrolled in the intervention arm and 96 in the
control arm. The intervention included fortnightly nutrition education on nutrient-dense
meal, dietary diversity, and the provision of nutrient-rich meals for six months. Nutritional
status and nutrient intake were determined through anthropometric measurements and
food frequency questionnaires. Sputum smear microscopy and clinical signs were also
assessed at critical points. Data analysis was conducted using R to obtain independent t
tests, chi-square, logistic regression, and difference-in-difference (DID). Anthropometric
data were converted into BMI and categorized into nutritional status indicators using
WHO cut-offs, while food frequency data were converted into daily nutrient yields and
compared against Recommended Dietary Allowances (RDA). The significance level was
set at p < 0.05. The results revealed that socio-demographic factors, health-seeking,
lifestyle (alcohol, tobacco), low baseline BMI, comorbidities, and lack of adherence
support were significantly linked to negative treatment outcome (p < 0.01). The
intervention group showed significant increases in BMI at 2nd, 5th, and 6th months (p =
0.01, 0.01, 0.001). Adherence to recommended dietary intake for energy, protein,
carbohydrates, vitamins A and C, zinc, and selenium improved remarkably (AOR = 1.84 – 2.14, p < 0.01). Sputum conversion rates in the intervention group exceeded 90% at all
critical points of study, compared to 85.2% in the control group (p < 0.01). In the control
group, only fat intake improved sputum conversion at month two (β = 0.15, p = 0.026). In
the intervention group, higher energy (β = 0.76–0.91, p < 0.007), protein (β = 0.67–0.95,
p < 0.004), carbohydrates (β = 0.17–0.47, p < 0.004), vitamin A (β = 0.75–0.88, p < 0.003),
vitamin C (β = 0.80–0.89, p < 0.001), zinc (β = 0.67–0.82, p < 0.005), and selenium (β =
0.53–0.79, p < 0.007) were significantly associated with sputum conversion. Clinical signs
such as cough and weight loss improved significantly in the intervention group. Higher
odds of improvement were observed at 2nd, 5th, and 6th months of the study with AOR =
1.98 (95% CI: 1.02 - 3.82; p = 0.041), 1.79 (95% CI: 1.03 - 3.10; p = 0.039), and 2.46
(95% CI: 1.29 - 4.71; p = 0.034), respectively (p < 0.05). A possible limitation for this
study was recalling bias and social desirability in diet reporting. In conclusion, multiple
‘best’ practices influenced treatment outcomes. The intervention improved nutritional
status, sputum conversion and clinical signs and therefore enhanced treatment response.
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The study recommends that: context specific factors should be used to design targeted
interventions; nutrition education should be individually tailored to the patient needs with
specific focus on locally available, and nutrient-dense foods rich in vitamins A and C,
zinc, and selenium; nutritional support should be strengthened to accelerate sputum smear
conversion during the treatment period. Further longitudinal research is recommended to
assess the sustained effects of nutrition education interventions on the improvement and
stability of clinical signs.