Evidence map›Paper›PMID 39310626›Full record

ArticleCureus2024

Root Cause Analysis of Increased Referral Rates in a Sub-district Hospital, Tamil Nadu: A Quality Improvement Initiative.

Stalin R, Charumathi B

Abstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Care pathways for pediatric surgical conditions.World journal of pediatric surgery · 2026
    Article
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

2 authors.

Stalin RCommunity Medicine, Saveetha Medical College and Hospital, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, IND.
Charumathi BCommunity Medicine, Saveetha Medical College and Hospital, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Sub-district hospitals in Tamil Nadu are critical in providing essential healthcare services, but they face significant challenges that can lead to increased patient referrals to higher-level facilities. High referral rates can overburden tertiary care centers, delay specialized treatment, and affect patient outcomes. This study aims to identify the root causes of increased referral rates in a sub-district hospital and implement targeted interventions to reduce unnecessary referrals. Methods A descriptive study was conducted at Sriperumbudur sub-district hospital in Tamil Nadu from May to August 2023. The study utilized a root cause analysis (RCA) approach, incorporating qualitative data from brainstorming sessions with healthcare providers and administrative staff, and quantitative data from hospital records on referral rates. A fishbone (Ishikawa) diagram was employed to map causal factors, and Pareto and bar charts were used to analyze and present referral trends. Interventions were implemented using the Plan-Do-Study-Act (PDSA) cycle. Results The analysis identified several key factors contributing to high referral rates, including inadequate diagnostic services, insufficient staffing, and lack of essential resources such as CT scans and blood components. Following targeted interventions, referral rates decreased significantly from 101 cases in May-June 2023 to 52 cases in July-August 2023 highlighting a reduction of over 48%. The most notable reductions were seen in referrals for road traffic accidents with head injury (38.7%) reduction, chronic kidney disease (CKD)/hypertension (HT)/diabetes mellitus (DM) (46.2%) reduction, and crush injuries (45.5%) reduction. Conclusions The RCA revealed systemic issues that were contributing to increased referral rates at the sub-district hospital. Implementing targeted interventions based on the RCA findings led to a significant reduction in referrals, improving patient care at the local level and alleviating the burden on tertiary care centers. This study underscores the importance of continuous quality improvement initiatives in strengthening healthcare delivery at the sub-district level.

Indexed as

pareto chartplan-do-study-act cyclequality improvementreferral rateroot-cause-analysis

Identifiers

PMID39310626
PMCPMC11416191

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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.