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Nevin Manimala Statistics

Factors associated with early newborn care practices in Bangladesh: evidence from Bangladesh Demographic and Health Survey

Res Health Serv Reg. 2023 Aug 9;2(1):12. doi: 10.1007/s43999-023-00027-5.

ABSTRACT

AIM: Immediate care of newborns is essential to scale back the mortality rate. This study tries to search out several aspects of newborn care practices of newborn birth from BDHS 2017-18 data.

METHODS: Initially, bivariate analysis is employed to look at the differentials’ initial newborn care practices by several selected background variables. The study used a simple and multinomial logistic regression model to identify the important determinants of initial care practices. Besides determinates of the factor, the study also compares the results with the cross-sectional survey data of 2014 and 2011.

RESULTS: The percentage of employing a clean delivery kit during delivery and skin-to-skin contact are 22.8 and 13.7 respectively in Bangladesh in 2017 which is lower than the previous report in 2014. The odds of clean delivery kits and skin-to-skin are higher for educated mothers (OR = 3.30 and OR = 1.74) and in the case of delayed bathing the odds of the Rangpur division (OR = 1.90) are more likely higher compared to the reference category. Besides, the odds of a mother’s age above 25 and birth order 3+ are less likely to reference the category for newborn care practices.

CONCLUSION: Factors identified in early newborn care practices will not only help policy makers undertake a series of interventions for improved newborn health but also ensure good -quality health services.

PMID:39177886 | DOI:10.1007/s43999-023-00027-5

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Nevin Manimala Statistics

Performance evaluation of a combination Plasmodium dual-antigen CRP rapid diagnostic test in Lambaréné, Gabon

Infection. 2024 Aug 23. doi: 10.1007/s15010-024-02366-y. Online ahead of print.

ABSTRACT

PURPOSE: The consequent use of malaria rapid diagnostic tests (RDTs) preceding a treatment decision has improved the global management of malaria. A combination RDT, including an inflammation marker to potentially guide antibiotic prescription, could improve the management of acute febrile illness (AFI).

METHODS: We performed a prospective, cross-sectional study in Gabon evaluating the STANDARD Malaria/CRP DUO (S-DUO) RDT. Participants aged 2 to 17 years with fever at presentation and/or a history of fever < 7 days were enrolled. Expert microscopy, SD Bioline Malaria Ag P.f/Pan test for malaria detection, and NycoCard CRP device for CRP were used as comparators. AFI cases were classified on a spectrum encompassing bacterial vs. non-bacterial infection.

RESULTS: 415 participants with AFI were enrolled. S-DUO RDT sensitivity and specificity for malaria detection vs. microscopy were 99·1% (95·2-100%) and 72·7% (64·3-80·1%); and for CRP detection (20 mg/L and above) 86·9% (80-92%) and 87% (79·2-92·7%), respectively. The difference in CRP levels between bacterial infection (mean = 41·2 mg/L) and other causes of fever, measured from our study population using the Nycocard device, was statistically significant (p < 0·01); CRP precision-recall AUC to distinguish bacterial infection class vs. non-bacterial classifications was 0·79.

CONCLUSION: S-DUO RDT is suitable for malaria detection in moderate-to-high malaria transmission settings such as in Lambaréné; however, a CRP band detection limit > 40 mg/L is more adequate for indication of antibiotic prescription for AFI cases in Gabon.

PMID:39177882 | DOI:10.1007/s15010-024-02366-y

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Nevin Manimala Statistics

Treatment Effect Waning in Immuno-oncology Health Technology Assessments: A Review of Assumptions and Supporting Evidence with Proposals to Guide Modelling

Pharmacoeconomics. 2024 Aug 23. doi: 10.1007/s40273-024-01423-6. Online ahead of print.

ABSTRACT

Treatment effect waning (TEW) refers to the attenuation of treatment effects over time. Assumptions of a sustained immuno-oncologic treatment effect have been a source of contention in health technology assessment (HTA). We review how TEW has been addressed in HTA and in the wider scientific literature. We analysed company submissions to English language HTA agencies and summarised methods and assumptions used. We subsequently reviewed TEW-related work in the ISPOR Scientific Presentations Database and conducted a targeted literature review (TLR) for evidence of the maintenance of immuno-oncology (IO) treatment effects post-treatment discontinuation. We found no standardised approach adopted by companies in submissions to HTA agencies, with immediate TEW most used in scenario analyses. Independently fitted survival models do however suggest TEW may often be implicitly modelled. Materials in the ISPOR scientific database suggest gradual TEW is more plausible than immediate TEW. The TLR uncovered evidence of durable survival in patients treated with IOs but no evidence that directly addresses the presence or absence of TEW. Our HTA review shows the need for a consistent and appropriate implementation of TEW in oncology appraisals. However, the TLR highlights the absence of direct evidence on TEW in literature, as TEW is defined in terms of relative treatment effects-not absolute survival. We propose a sequence of steps for analysts to use when assessing whether a TEW scenario is necessary and appropriate to present in appraisals of IOs.

PMID:39177877 | DOI:10.1007/s40273-024-01423-6

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Nevin Manimala Statistics

Impact of a community-based primary healthcare programme on childhood diphtheria-tetanus-pertussis (DPT3) immunisation coverage in rural northern Ghana

Res Health Serv Reg. 2023 Dec 5;2(1):18. doi: 10.1007/s43999-023-00032-8.

ABSTRACT

BACKGROUND: Child healthcare services such as diphtheria-tetanus-pertussis (DPT3) vaccination are known to reduce childhood mortality and morbidity. However, inequalities in access to these services in developing countries continue to constrain global efforts aimed at improving child health. This study examines the impact and equity effect of a community-based primary healthcare programme known as the Ghana Essential Health Intervention Programme (GEHIP) on improving the uptake of childhood DPT3 immunisation coverage in a remote rural region of Ghana.

METHODS: Using baseline and end-line household survey data collected from mothers, the effect of GEHIP’s community-based healthcare programme on DPT3 immunisation coverage is evaluated using difference-in-differences multivariate logistic regression models. Household wealth index and maternal educational attainment were used as equity measures.

RESULTS: At end-line, both intervention and comparison districts recorded increases in DPT3 immunisation coverage although intervention districts had a relatively higher coverage than comparison districts (90% versus 88%). While children resident in intervention areas had slightly higher rates than children resident in comparison areas, regression results show that this difference was not statistically significant (DiD = 0.038, p-value = 0.102). There were also no significant equity disparities in the coverage of DPT3 vaccination for both household wealth index and maternal educational attainment.

CONCLUSION: DPT3 vaccination coverage in both study arms met the global vaccine action plan targets. However, because estimated effects are not significantly higher among treatment area children than among comparison districts counterparts, no equity/inequity effects of the community-based healthcare programme on DPT 3 coverage is evident.

PMID:39177872 | DOI:10.1007/s43999-023-00032-8

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Nevin Manimala Statistics

Geographic and socioeconomic variation in treatment of elderly prostate cancer patients in Norway – a national register-based study

Res Health Serv Reg. 2024 May 15;3(1):8. doi: 10.1007/s43999-024-00044-y.

ABSTRACT

PURPOSE: The aim of this study was to examine geographic and socioeconomic variation in curative treatment and choice of treatment modality among elderly prostate cancer (PCa) patients.

METHODS: This register-based cohort study included all Norwegian men ≥ 70 years when diagnosed with non-metastatic, high-risk PCa in 2011-2020 (n = 10 807). Individual data were obtained from the Cancer Registry of Norway, the Norwegian Prostate Cancer Registry, and Statistics Norway. Multilevel logistic regression analysis was used to model variation across hospital referral areas (HRAs), incorporating clinical, demographic and socioeconomic factors.

RESULTS: Overall, 5186 (48%) patients received curative treatment (radical prostatectomy (RP) (n = 1560) or radiotherapy (n = 3626)). Geographic variation was found for both curative treatment (odds ratio 0.39-2.19) and choice of treatment modality (odds ratio 0.10-2.45). Odds of curative treatment increased with increasing income and education, and decreased for patients living alone, and with increasing age and frailty. Patients with higher income had higher odds of receiving RP compared to radiotherapy.

CONCLUSIONS: This study showed geographic and socioeconomic variation in treatment of elderly patients with non-metastatic, high-risk PCa, both in relation to overall curative treatment and choice of treatment modality. Further research is needed to explore clinical practices, the shared decision process and how socioeconomic factors influence the treatment of elderly patients with high-risk PCa.

PMID:39177854 | DOI:10.1007/s43999-024-00044-y

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Nevin Manimala Statistics

From data to practice change – exploring new territory for atlases of clinical variation

Res Health Serv Reg. 2022 Nov 30;1(1):13. doi: 10.1007/s43999-022-00013-3.

ABSTRACT

Despite decades of atlas production and use within multiple healthcare systems, and consistent reporting of geographical differences in the utilisation of services, significant levels of clinical variation persist. Drawing on over forty years of combined experience using atlases of clinical variation, we reflect on why that might be the case and explore the role of atlases have played in efforts to reduce inappropriate overuse, underuse and misuse of healthcare services. We contend that atlases are useful but, on their own, are not enough to drive change in clinical practice and improvement in patient outcomes. Building on four conceptual models we have published since 2017, we argue that atlases, with their focus on measuring healthcare utilisation by residents in different geographies, generally fail to provide sufficient information and statistical analyses to truly assess the nature of the variation and support action for change. They seldom use structures such as hospitals or teams as the unit of analysis to understand variation; they rarely feature the key elements of healthcare performance which underlie variation; they are mostly silent about how to assess whether the variation measured is warranted or truly unwarranted; nor do they identify evidence-based levers for change. This means that a stark choice confronts producers of atlases – to either continue with the current model and more explicitly rely on other players to undertake work to complete the ‘data to action’ cycle that is necessary to secure improvement; or to refine their offering – including more sophisticated performance measurement approaches, nuanced guides for interpretation of any differences found, support for the selection and application of levers for change that align with local context, and provision of evidence-based options for implementation.

PMID:39177847 | DOI:10.1007/s43999-022-00013-3

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Nevin Manimala Statistics

Development and validation of a novel nomogram to avoid unnecessary biopsy in patients with PI-RADS category ≥ 4 lesions and PSA ≤ 20 ng/ml

World J Urol. 2024 Aug 23;42(1):495. doi: 10.1007/s00345-024-05202-y.

ABSTRACT

OBJECTIVES: To develop and validate a prediction model for identifying non-prostate cancer (non-PCa) in biopsy-naive patients with PI-RADS category ≥ 4 lesions and PSA ≤ 20 ng/ml to avoid unnecessary biopsy.

PATIENTS AND METHODS: Eligible patients who underwent transperineal biopsies at West China Hospital between 2018 and 2022 were included. The patients were randomly divided into training cohort (70%) and validation cohort (30%). Logistic regression was used to screen for independent predictors of non-PCa, and a nomogram was constructed based on the regression coefficients. The discrimination and calibration were assessed by the C-index and calibration plots, respectively. Decision curve analysis (DCA) and clinical impact curves (CIC) were applied to measure the clinical net benefit.

RESULTS: A total of 1580 patients were included, with 634 non-PCa. Age, prostate volume, prostate-specific antigen density (PSAD), apparent diffusion coefficient (ADC) and lesion zone were independent predictors incorporated into the optimal prediction model, and a corresponding nomogram was constructed ( https://nomogramscu.shinyapps.io/PI-RADS-4-5/ ). The model achieved a C-index of 0.931 (95% CI, 0.910-0.953) in the validation cohort. The DCA and CIC demonstrated an increased net benefit over a wide range of threshold probabilities. At biopsy-free thresholds of 60%, 70%, and 80%, the nomogram was able to avoid 74.0%, 65.8%, and 55.6% of unnecessary biopsies against 9.0%, 5.0%, and 3.6% of missed PCa (or 35.9%, 30.2% and 25.1% of foregone biopsies, respectively).

CONCLUSION: The developed nomogram has favorable predictive capability and clinical utility can help identify non-PCa to support clinical decision-making and reduce unnecessary prostate biopsies.

PMID:39177844 | DOI:10.1007/s00345-024-05202-y

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Nevin Manimala Statistics

Factor-augmented transformation models for interval-censored failure time data

Biometrics. 2024 Jul 1;80(3):ujae078. doi: 10.1093/biomtc/ujae078.

ABSTRACT

Interval-censored failure time data frequently arise in various scientific studies where each subject experiences periodical examinations for the occurrence of the failure event of interest, and the failure time is only known to lie in a specific time interval. In addition, collected data may include multiple observed variables with a certain degree of correlation, leading to severe multicollinearity issues. This work proposes a factor-augmented transformation model to analyze interval-censored failure time data while reducing model dimensionality and avoiding multicollinearity elicited by multiple correlated covariates. We provide a joint modeling framework by comprising a factor analysis model to group multiple observed variables into a few latent factors and a class of semiparametric transformation models with the augmented factors to examine their and other covariate effects on the failure event. Furthermore, we propose a nonparametric maximum likelihood estimation approach and develop a computationally stable and reliable expectation-maximization algorithm for its implementation. We establish the asymptotic properties of the proposed estimators and conduct simulation studies to assess the empirical performance of the proposed method. An application to the Alzheimer’s Disease Neuroimaging Initiative (ADNI) study is provided. An R package ICTransCFA is also available for practitioners. Data used in preparation of this article were obtained from the ADNI database.

PMID:39177025 | DOI:10.1093/biomtc/ujae078

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Nevin Manimala Statistics

Association of race/ethnicity and insurance with survival in patients with diffuse large B-cell lymphoma in a large real-world cohort

Cancer Med. 2024 Aug;13(16):e70032. doi: 10.1002/cam4.70032.

ABSTRACT

The large real-world EHR dataset Flatiron has shown that race was not significantly associated with poorer survival in patients with DLBCL. Medicaid insurance status was significantly associated with poorer overall survival and time to second-line therapy or death due to any cause in patients with DLBCL aged <65 years.

PMID:39177019 | DOI:10.1002/cam4.70032

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Nevin Manimala Statistics

Effectiveness of historical smallpox vaccination against mpox clade II in men in Denmark, France, the Netherlands and Spain, 2022

Euro Surveill. 2024 Aug;29(34). doi: 10.2807/1560-7917.ES.2024.29.34.2400139.

ABSTRACT

BackgroundIn 2022, a global monkeypox virus (MPXV) clade II epidemic occurred mainly among men who have sex with men. Until early 1980s, European smallpox vaccination programmes were part of worldwide smallpox eradication efforts. Having received smallpox vaccine > 20 years ago may provide some cross-protection against MPXV.AimTo assess the effectiveness of historical smallpox vaccination against laboratory-confirmed mpox in 2022 in Europe.MethodsEuropean countries with sufficient data on case vaccination status and historical smallpox vaccination coverage were included. We selected mpox cases born in these countries during the height of the national smallpox vaccination campaigns (latest 1971), male, with date of onset before 1 August 2022. We estimated vaccine effectiveness (VE) and corresponding 95% CI for each country using logistic regression as per the Farrington screening method. We calculated a pooled estimate using a random effects model.ResultsIn Denmark, France, the Netherlands and Spain, historical smallpox vaccination coverage was high (80-90%) until the end of the 1960s. VE estimates varied widely (40-80%, I2 = 82%), possibly reflecting different booster strategies. The pooled VE estimate was 70% (95% CI: 23-89%).ConclusionOur findings suggest residual cross-protection by historical smallpox vaccination against mpox caused by MPXV clade II in men with high uncertainty and heterogeneity. Individuals at high-risk of exposure should be offered mpox vaccination, following national recommendations, regardless of prior smallpox vaccine history, until further evidence becomes available. There is an urgent need to conduct similar studies in sub-Saharan countries currently affected by the MPXV clade I outbreak.

PMID:39176988 | DOI:10.2807/1560-7917.ES.2024.29.34.2400139