Mithilesh Dronavalli

Dr. Mithilesh Dronavalli

Liverpool Public Health Unit, Southwest Sydney

Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 July 2012 in The Annals of Thoracic Surgery
Verified
Journal Article
Closed access
TFTyson A. Fricke
Tyson A. Fricke
YDYves D'UDekem
Yves D'UDekem
MRMalcolm Richardson
Malcolm Richardson
CTClarke Thuys
Clarke Thuys
MDMithilesh Dronavalli
Mithilesh Dronavalli
IKIgor E. Konstantinov
Igor E. Konstantinov

28 September 2021 in PLOS Medicine
Verified
Journal Article
Open access
PDF file
MAMaya Adam
Maya Adam
JJJamie Johnston
Jamie Johnston
NJNophiwe Job
Nophiwe Job
MDMithilesh Dronavalli
Mithilesh Dronavalli
IRIngrid Le Roux
Ingrid Le Roux
TBTill Bärnighausen
Till Bärnighausen
Background: In South Africa, breastfeeding promotion is a national health priority. Regular perinatal home visits by community health workers (CHWs) have helped promote exclusive breastfeeding (EBF) in underresourced settings. Innovative, digital approaches including mobile video content have also shown promise, especially as access to mobile technology increases among CHWs. We measured the effects of an animated, mobile video series, the Philani MObile Video Intervention for Exclusive breastfeeding (MOVIE), delivered by a cadre of CHWs (“mentor mothers”).Methods and findings: We conducted a stratified, cluster-randomized controlled trial from November 2018 to March 2020 in Khayelitsha, South Africa. The trial was conducted in collaboration with the Philani Maternal Child Health and Nutrition Trust, a nongovernmental community health organization. We quantified the effect of the MOVIE intervention on EBF at 1 and 5 months (primary outcomes), and on other infant feeding practices and maternal knowledge (secondary outcomes). We randomized 1,502 pregnant women in 84 clusters 1:1 to 2 study arms. Participants’ median age was 26 years, 36.9% had completed secondary school, and 18.3% were employed. Mentor mothers in the video intervention arm provided standard-of-care counseling plus the MOVIE intervention; mentor mothers in the control arm provided standard of care only. Within the causal impact evaluation, we nested a mixed-methods performance evaluation measuring mentor mothers’ time use and eliciting their subjective experiences through in-depth interviews.At both points of follow-up, we observed no statistically significant differences between the video intervention and the control arm with regard to EBF rates and other infant feeding practices [EBF in the last 24 hours at 1 month: RR 0.93 (95% CI 0.86 to 1.01,P= 0.091); EBF in the last 24 hours at 5 months: RR 0.90 (95% CI 0.77 to 1.04,P= 0.152)]. We observed a small, but significant improvement in maternal knowledge at the 1-month follow-up, but not at the 5-month follow-up. The interpretation of the results from this causal impact evaluation changes when we consider the results of the nested mixed-methods performance evaluation. The mean time spent per home visit was similar across study arms, but the intervention group spent approximately 40% of their visit time viewing videos. The absence of difference in effects on primary and secondary endpoints implies that, for the same time investment, the video intervention was as effective as face-to-face counseling with a mentor mother. The videos were also highly valued by mentor mothers and participants. Study limitations include a high loss to follow-up at 5 months after premature termination of the trial due to the COVID-19 pandemic and changes in mentor mother service demarcations.Conclusions: This trial measured the effect of a video-based, mobile health (mHealth) intervention, delivered by CHWs during home visits in an underresourced setting. The videos replaced about two-fifths of CHWs’ direct engagement time with participants in the intervention arm. The similar outcomes in the 2 study arms thus suggest that the videos were as effective as face-to-face counselling, when CHWs used them to replace a portion of that counselling. Where CHWs are scarce, mHealth video interventions could be a feasible and practical solution, supporting the delivery and scaling of community health promotion services.Trial registration: The study and its outcomes were registered atclinicaltrials.gov(#NCT03688217) on September 27, 2018.

1 June 2011 in The Annals of Thoracic Surgery
Verified
Journal Article
Closed access
MYMatthew S. Yong
Matthew S. Yong
YDYves D'Udekem
Yves D'Udekem
TRTerry Robertson
Terry Robertson
SHStephen Horton
Stephen Horton
MDMithilesh Dronavalli
Mithilesh Dronavalli
IKIgor E. Konstantinov
Igor E. Konstantinov

1 February 2010 in Journal of Neurosurgery
Verified
Journal Article
Closed access
ESElisabeth Solana
Elisabeth Solana
Maria A. PocaMaria A. Poca
Maria A. Poca
JSJuan Sahuquillo
Juan Sahuquillo
BBBessy Benejam
Bessy Benejam
CJCarme Junque
Carme Junque
MDMithilesh Dronavalli
Mithilesh Dronavalli
Object: The test-retest method is commonly used in the management of patients with normal-pressure hydrocephalus (NPH). One of the most widely used techniques in the diagnosis of this condition is evaluation of the patient's response to CSF evacuation by lumbar puncture (a so-called tap test or spinal tap). However, interpretation of improved results in subsequent evaluations is controversial because higher scores could reflect a real change in specific abilities or could be simply the result of a learning effect. Methods: To determine the effect of testing-retesting in patients with NPH, the authors analyzed changes documented on 5 neuropsychological tests (the Toulouse-Pieron, Trail Making Test A, Grooved Pegboard, Word Fluency, and Bingley Memory tests) and several motor ability scales (motor performance test, length of step, and walking speed tests) in a series of 32 patients with NPH who underwent the same battery on 4 consecutive days. The same tests were also applied in 30 healthy volunteers. In both groups, the authors used the generalized least-squares regression method with random effects to test for learning effects. To evaluate possible differences in response depending on the degree of cognitive impairment at baseline, the results were adjusted by using the Mini-Mental State Examination scores of patients and controls when these scores were significant in the model. Results: In patients with NPH there were no statistically significant differences in any of the neuropsychological or motor tests performed over the 4 consecutive days, except in the results of the Toulouse-Pieron test, which were significantly improved on Day 3. In contrast, healthy volunteers had statistically significant improvement in the results of the Toulouse-Pieron test, Trail Making Test A, and Grooved Pegboard test but not in the remaining neuropsychological tests. Patients in the healthy volunteer group also exhibited statistically significant improvement in the motor performance test but not in step length or walking speed. Conclusions: No learning effect was found in patients with NPH on any of the neuropsychological or motor tests. Clinical improvement after retesting in these patients reflects real changes, and this strategy can therefore be used in both the diagnosis and evaluation of surgical outcomes.

1 July 2011 in Journal of Neurotrauma
Verified
Journal Article
Closed access
AVAnna Vilalta
Anna Vilalta
JSJuan Sahuquillo
Juan Sahuquillo
MMMaria-Angels Merino
Maria-Angels Merino
Maria A. PocaMaria A. Poca
Maria A. Poca
AGAngel Garnacho
Angel Garnacho
MDMithilesh Dronavalli
Mithilesh Dronavalli
This study sought to investigate whether normobaric hyperoxia (NH) improves brain oxygenation and brain metabolism in the early phase of severe and moderate traumatic brain injury (TBI) and whether this effect occurs uniformly in all TBI patients. Thirty patients (9 women and 21 men) with a median initial Glasgow Coma Score (GCS) of 6 (range, 3–12) were monitored using a brain microdialysis (MD) catheter with a brain tissue oxygen sensor (PtiO2) placed in the least-injured hemisphere. The inspired oxygen fraction was increased to 100% for 2 h. Patients were divided into two groups: Group 1: patients with baseline brain lactate ≤3 mmol/L and Group 2: patients with baseline brain lactate >3 mmol/L, and therefore increased anaerobic metabolism in the brain. In Group 1, no significant changes in brain metabolic parameters were found after hyperoxic challenge, whereas a significant increase in glucose and a decrease in the lactate–pyruvate ratio (LPR) were found in Group 2. In this latter group of patients, brain glucose increased on average by 17.9% (95% CI, +9.2% to +26.6%, p<0.001) and LPR decreased by 11.6% (95% CI, −16.2% to −6.9%, p<0.001). The results of our study show that moderate and severe TBI may induce metabolic alterations in the brain, even in macroscopically normal brain tissue. We observed that NH increased PaO2 and PtiO2 and significantly decreased LPR in patients in whom baseline brain lactate levels were increased, suggesting that NH improved the brain redox state. In patients with normal baseline brain lactate levels, we did not find any significant changes in the metabolic variables after NH. This suggests that the baseline metabolic state should be taken into account when applying NH to patients with TBI. This maneuver may only be effective in a specific group of patients.

3 June 2015 in Journal of Epidemiology and Community Health
Verified
Journal Article
Closed access
MDMithilesh Dronavalli
Mithilesh Dronavalli
STSandra Thompson
Sandra Thompson
Background: Those interested in evaluating the effectiveness of community interventions on health and well-being need information about what tools are available and best suited to measure improvements that could be attributed to the intervention. This study evaluated published measurement tools of health and well-being that have the potential to be used before and after an intervention. Methods: A literature search of health and sociological databases was undertaken for articles that utilised measurement tools in community settings to measure overall health, well-being or quality of life. Articles were considered potentially relevant because they included use of measurement tools related to general health or well-being. These tools were evaluated by further searching of the literature to assess each tool's properties including: reliability; validity; responsiveness; length; use in cross-cultural settings; global health or well-being assessment; use of subjective measures; clarity and cost. A composite score was made based on the average rating of all fields. Results: Of 958 abstracts that were screened, 123 articles were extracted for review. From those articles, 27 measurement tools were selected and assessed. Based on the composite score assessing across all domains, five tools were rated as excellent. Conclusions: While tools may need to be selected for particular aims and interventions, a range of potential well-described tools already exist and should be considered for use in preference to ad hoc or bespoke tools. Any of the five tools rated as excellent are recommended to assess the impact of a community intervention.