A protocol for a systematic review of economic evaluation studies conducted on neonatal systemic infections in South

Shruti Murthy1, Denny John2,3, Isadora Perpetual Godinho4

  • 1Department of Statistics, Prasanna School of Public Health, Manipal Academy of Higher Education, Level 6, Health Science Library Building, Madhav Nagar, Manipal, Karnataka, 576104, India. shruti.murthy@learner.manipal.edu.

Systematic Reviews
|December 14, 2017
PubMed

Insights

This systematic review synthesizes economic evidence on managing neonatal systemic infections in South Asia. It highlights the need for more research on cost-effectiveness to improve infant health outcomes and reduce long-term burdens.

Area of Science:

  • Public Health
  • Health Economics
  • Neonatal Medicine

Background:

  • Neonatal systemic infections pose significant long-term health, economic, and social challenges.
  • There is a notable lack of consolidated economic evidence regarding the management of these infections, particularly in South Asia.
  • Existing economic evaluations often focus on the broader under-five age group, neglecting specific neonatal needs.

Purpose of the Study:

  • To systematically review and critically appraise existing economic evaluations on the management of neonatal systemic infections in South Asia.
  • To consolidate evidence on resource use, costs, and cost-effectiveness of interventions for neonatal infections.
  • To identify research gaps and inform future economic evaluations in this critical area.

Main Methods:

  • Systematic review including full and partial economic evaluations published in English.
  • Comprehensive electronic searches across multiple databases (PubMed, EMBASE, EconLit, etc.) and grey literature.
  • Independent screening, data extraction, and risk of bias assessment by two authors, with narrative synthesis and tabulation of results.

Main Results:

  • The review aims to synthesize findings on the economic impact and cost-effectiveness of interventions for neonatal systemic infections.
  • It will provide a comprehensive overview of current economic evidence specific to the South Asian context.
  • The study will highlight methodological strengths and weaknesses of existing evaluations.

Conclusions:

  • This review is the first to focus on economic evidence for neonatal systemic infections in South Asia.
  • Findings will inform policymakers and healthcare providers on resource allocation and intervention strategies.
  • The study will guide future research priorities to address critical gaps in economic evidence for neonatal health.
Abstract

Related Concept Videos

Study Designs in Epidemiology01:20

Study Designs in Epidemiology

Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
1.1K
Methods Of Healthcare Delivery System01:26

Methods Of Healthcare Delivery System

At the different levels of the healthcare system, we see varying methods of healthcare used. These methods include managed care systems, case management, and primary healthcare.
Managed Care System:
The managed care system is designed to control the cost while maintaining the quality of care. The patient's care from admission to discharge is planned by the primary care provider or the case manager, also known as the gatekeeper. In a managed care system, the number of care providers is...
4.2K
Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:  
1.4K