Factors Influencing The Clinical Pharmacists’ Perceptions of Pediatric Clinical Patient Care

Authors

  • Prachi Gurudiwan
  • Mahendra Kumar Sahu

Keywords:

Pharmacists, paediatrics, pharmacists, clinical care

Abstract

This Systematic Review (SR) aimed to identify and summarize factors influencing the execution of Pediatric Clinical Pathways (PCP) from the viewpoints of consumers of services in hospital environments. An SR of databases was conducted to discover pertinent peer-reviewed studies from conception, adhering to the requirements for inclusion. Boolean search algorithms encompass assistance, client subgroups, and feature subdomains. Research was separately examined, and those that were selected were evaluated for quality using the Mixed Methods Appraisal Tool. The investigation used the 'Enhancing Transparency in Reporting the Summary of Qualitative Investigation' declaration. Four thousand two hundred references were evaluated based on title and abstract, including 6 of 33 articles reviewed. Two investigations were assessed as 'high' quality, while four were rated as 'mild.' The investigation identified seven elements classified under five established broad themes. The factors included the views and approval of other medical professionals; the presence of Clinical Pharmacists (CP) in inward or outpatient treatment environments; the application of drug-related expertise to clinical operations; resources for providing services and protection; participation in a multifaceted team; instruction in specialized areas; and the enhancement of communication skills. Support for PCP was limited compared to a comparable SR undertaken in the adult community. A significant knowledge deficiency in this field of practice has been observed. Most of the identified characteristics were seen as enablers that contributed to the effective execution of PCP. Additional study is required to discover further elements, and their investigation is essential to establish a robust framework for strategic thinking for PCP deployment and growth.

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...

References

Kuitunen S, Saksa M, Tuomisto J, Holmström AR. Medication errors related to high-alert medications in a paediatric university hospital–a cross-sectional study analysing error reporting system data. BMC pediatrics. 2023 Oct 31;23(1):548. https://doi.org/10.1186/s12887-023-04333-2

Vijayakumar P, Sivasubramaniyan G, Rao MS. Bibliometrics analysis of Indian journal of nuclear medicine. Indian Journal of Information Sources and Services. 2019;9(1):122-7. https://doi.org/10.51983/ijiss.2019.9.1.581

Orth LE, Feudtner C, Kempe A, Morris MA, Colborn KL, Gritz RM, Linnebur SA, Begum A, Feinstein JA. A coordinated approach for managing polypharmacy among children with medical complexity: rationale and design of the Pediatric Medication Therapy Management (pMTM) randomized controlled trial. BMC Health Services Research. 2023 Apr 29;23(1):414. https://doi.org/10.1186/s12913-023-09439-y

Foroutan B, Bashi Amlashi HR, Partani A, De los Ríos P, Nasrollahzadeh Saravi H. Determination and comparisons of heavy metals (Cobalt and Iron) accumulation in muscle, liver, and gill tissues of Golden Mullet (Chelon aurata) in coastal areas of the Caspian Sea (Mazandaran and Golestan provinces of Iran). International Journal of Aquatic Research and Environmental Studies. 2023 May 10;3(1):1-5. https://doi.org/10.70102/IJARES/V3I1/1

Laouamer L, Euchi J, Zidi S, Mihoub A. Image-to-Tree to Select Significant Blocks for Image Watermarking. J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl. 2020;11(1):81-115.

Seyedan SA. A study of the relationship between personality traits and internet addiction among secondary school male students in Torbat Heydarieh. Int Acad J Soc Sci. 2017;4(2):73-83.

Mathboob YM, Rahaim LAA, Ali AH. Healthcare monitoring-based Internet of Things (IoT). J Internet Serv Inf Secur. 2024;14(4):347-359. https://doi.org/10.58346/JISIS.2024.I4.021

Picco L, Lam T, Haines S, Nielsen S. How prescription drug monitoring programs influence clinical decision-making: a mixed methods systematic review and meta-analysis. Drug and alcohol dependence. 2021 Nov 1; 228: 109090. https://doi.org/10.1016/j.drugalcdep.2021.109090

Dmytrenko O, Lutsenko T, Dmytrenko A, Bespalova O. Assessment of efficiency and safety of phytocomposition with prostate-protective properties in the form of rectal suppositories. Natural and Engineering Sciences. 2024 Oct 30;9(2):407-25. https://doi.org/10.28978/nesciences.1465276

Alzaidi ER. Optimization of deep learning models to predict lung cancer using chest X-ray images. Int Acad J Sci Eng. 2024;11(1):351-361. https://doi.org/10.9756/IAJSE/V11I1/IAJSE1140

Pandey V, Gupta N. Mechanical Engineering Design: A Multidisciplinary Approach. Association Journal of Interdisciplinary Technics in Engineering Mechanics. 2024 Dec 26;2(4):6-11.

Butuca A, Dobrea CM, Arseniu AM, Frum A, Chis AA, Rus LL, Ghibu S, Juncan AM, Muntean AC, Lazăr AE, Gligor FG. An Assessment of Semaglutide Safety Based on Real World Data: From Popularity to Spontaneous Reporting in EudraVigilance Database. Biomedicines. 2024 May 18;12(5):1124. https://doi.org/10.3390/biomedicines12051124

Kumar RB, Sunil K. Biotechnological Approaches to Develop Personalized Medicines for Rare Genetic Disorders. Clinical Journal for Medicine, Health and Pharmacy. 2024 Jun 28;2(2):20-8.

Ye J, He L, Beestrum M. Implications for implementation and adoption of telehealth in developing countries: a systematic review of China’s practices and experiences. NPJ Digital Medicine. 2023 Sep 18;6(1):174. https://doi.org/10.1038/s41746-023-00908-6

Carlos M, Escobedo F. A case study-based model for sustainable business management through blockchain technology in small and medium-sized enterprises. Glob Perspect Manag. 2024;2(2):41-50.

Bekele F, Bereda G, Tamirat L, Geleta BA, Jabessa D. “Childrens are not just “little adults”. The rate of medication related problems and its predictors among patients admitted to pediatric ward of southwestern Ethiopian hospital: A prospective observational study. Annals of Medicine and Surgery. 2021 Oct 1;70: 102827. https://doi.org/10.1016/j.amsu.2021.102827

Mambula G, Nanjebe D, Munene A, Guindo O, Salifou A, Mamaty AA, Rattigan S, Ellis S, Khavessian N, van der Pluijm RW, Marquer C. Practices and challenges related to antibiotic use in paediatric treatment in hospitals and health centres in Niger and Uganda: a mixed methods study. Antimicrobial Resistance & Infection Control. 2023 Jul 11;12(1):67. https://doi.org/10.1186/s13756-023-01271-7

Hamadouk RM, Mohammed FM, Albashair ED, Yousef BA. Evaluation of community pharmacists’ competences in identifying and resolve drug-related problems in a pediatric prescription using the simulated patient method. Pharmacy. 2022 Dec 30;11(1):6. https://doi.org/10.3390/pharmacy11010006.

Downloads

Published

2025-01-28

How to Cite

1.
Gurudiwan P, Kumar Sahu M. Factors Influencing The Clinical Pharmacists’ Perceptions of Pediatric Clinical Patient Care. J Neonatal Surg [Internet]. 2025Jan.28 [cited 2025Feb.14];14(1S):33-40. Available from: https://jneonatalsurg.com/index.php/jns/article/view/1491