Evidence map›Paper›PMID 40621761›Full record

ReviewCurrent drug research reviews2026

The Pharmacoeconomics and its Evaluation in Enhancing the Indian Healthcare System.

Uma Agarwal, Garima Kapoor, Khushboo Singhal, Rajiv Kumar Tonk

Abstract readReview
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In one paragraph

Review in Current drug research reviews, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Uma AgarwalDepartment of Pharmaceutical Chemistry, School of Pharmaceutical Sciences, Delhi Pharmaceutical Sciences and Research University, PushpViharSector-3, M-B Road, New Delhi, 110017, India.ORCID 0000-0003-4821-4430
Garima KapoorKIET School of Pharmacy, KIET Group of Institutions, Delhi-NCR, Ghaziabad, Uttar Pradesh, India.
Khushboo SinghalDepartment of Clinical Research, School of Pharmaceutical Sciences, Delhi Pharmaceutical Sciences and Research University, PushpViharSector-3, M-B Road, New Delhi, 110017, India.
Rajiv Kumar TonkDepartment of Pharmaceutical Chemistry, School of Pharmaceutical Sciences, Delhi Pharmaceutical Sciences and Research University, PushpViharSector-3, M-B Road, New Delhi, 110017, India.ORCID 0000-0002-0842-5121

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionEscalating healthcare costs and increasing demands on healthcare systems have increased the need for efficient resource allocation. Pharmacoeconomics is a vital field that quantifies and compares the value of therapeutic drugs or treatments. It provides a systematic framework for decision-makers in the pharmaceutical industry, government, and private sectors to optimize healthcare delivery and spending. This review aimed to explore the role of pharmacoeconomic models in assessing the economic and clinical value of therapies. It emphasizes the importance of cost-effectiveness, cost-utility, cost-benefit, and cost-minimization analyses in balancing costs with outcomes and guiding healthcare resource allocation.

methodsPharmacoeconomic methodologies focus on assessing the costs, processes, and outcomes associated with therapeutic interventions. Key methods include cost-minimization, costeffectiveness, cost-utility, and cost-benefit analyses. These approaches are critical in regulatory compliance, reimbursement decisions, cost assessments, and sustaining pharmaceutical models.

resultsThis review reveals that pharmacoeconomic approaches such as Cost-Effectiveness Analysis (CEA), Cost-Utility Analysis (CUA), and Cost-Benefit Analysis (CBA) are widely used to guide healthcare policy decisions, particularly in resource-constrained settings. CEA is the most commonly applied method due to its simplicity, while CUA is gaining traction in advanced policy frameworks like Health Technology Assessment (HTA). In India, pharmacoeconomic research is emerging but faces barriers such as limited access to real-world data, the absence of national reimbursement systems, and high out-of-pocket costs. Innovative methods like machine learning and pharmacogenomics are being explored to improve the relevance and precision of these evaluations. DISCUSSION: While pharmacoeconomic models offer valuable insights for healthcare decisionmaking, their real-world impact is limited by inconsistencies in data quality and variations in implementation standards. In India, fragmented governance, low public health spending, and a lack of coordination among stakeholders further hinder effective application. Addressing systemic challenges-such as establishing interoperable data systems, standard treatment guidelines, and equitable healthcare access-is crucial. Tailored approaches, including localized utility values and digital health initiatives, are essential to make pharmacoeconomics a practical and influential tool in policy formulation and resource allocation in India and similar settings.

conclusionPharmacoeconomic studies evaluate clinical efficacy, adverse effects, and production costs while incorporating perspectives from patients, providers, payers, and communities. For India, unique challenges such as limited rural healthcare access, infrastructure disparities, and high out-of-pocket expenses necessitate tailored adaptations. Strategies such as integrating accessibility metrics, localized data, equity considerations, preventive care, tiered pricing, and public-private partnerships can enhance healthcare delivery. Pharmacoeconomic models are essential for improving health outcomes, ensuring equitable resource allocation, and addressing the diverse needs of India.

Indexed as

Delivery of Health CareEconomics, PharmaceuticalCost-Benefit AnalysisHealth Care CostsHumansIndiaequitable healthcareIndian healthcare systemmodelsPharmacoeconomicsresource allocationtiered pricing

Identifiers

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.