| Literature DB >> 34900562 |
Sreehari M Nair1, Bistra Zheleva2, Adriana Dobrzycka2, Peter Hesslein2, Rajeev Sadanandan3, R Krishna Kumar4.
Abstract
Background: Congenital heart disease (CHD) has emerged as a leading contributor to infant mortality in many low-and middle-income countries (LMICs). We report early results of a population health program for CHD, implemented in the state of Kerala, India. Objective: Report on early results of a population-based program implementation in a LMIC to reduce mortality from CHD.Entities:
Keywords: Congenital Heart Surgery; Congenital heart disease; Newborn Screening; Population health
Mesh:
Year: 2021 PMID: 34900562 PMCID: PMC8533661 DOI: 10.5334/gh.1034
Source DB: PubMed Journal: Glob Heart ISSN: 2211-8160
Figure 1CHD Patient Care Continuum.
Figure 2Kerala Pediatric Cardiac Care: Situation Analysis 2016 and 2019.*
* Some private centers in the initial assessment were not empaneled (selected) by the government and later either discontinued their pediatric cardiac services or closed completely.
Figure 3Congenital Heart Disease Demographics in Kerala, 2016.
CHD: Congenital Heart Disease; est.: estimated.
Figure 4Kerala Capacity to Address CHD, 2016.
Challenges and Interventions within the Pediatric Cardiac Care Continuum in Kerala (see text for details).
| Challenges | Interventions Undertaken | |
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Limited awareness & expertise in fetal echocardiography Lack of newborn pulse oximetry screening & equipment Medical professionals inadequately trained to recognize CHD Little public concern for CHD |
Obstetric ultrasound training Neonatal pulse oximetry program established Neonatal nurses perform pre-discharge physicals Pediatricians trained for early recognition Public awareness IEC campaign |
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Spotty or nonexistent processes for assessment of suspected cases |
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Lack of an organized system to prioritize and refer patients to a treatment center causing dangerous delays |
Immediate referrals, with diagnosis & geography considered |
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Limited understanding of how to stabilize sick infants with heart disease Absence of a neonatal transport network to get babies safely to a treatment center |
Transport network developed by the government Web-based transport app now in pilot testing |
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Limited public-sector capacity to treat cCHD Limited access to private-sector capacity |
Expansion of public-sector capacity at 3 institutions Collaboration with private sector in an effectively integrated system |
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No standardization or public health drivers of postoperative follow-up |
Follow-up protocols developed and integrated within Nursing group tasked with postop in-home follow-up visits |
Figure 5Hridyam Process Map.
Hridyam Patient Registrations.
| Year | Age 0–12 months | Age > 1 year | Total |
|---|---|---|---|
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| 2017 (Aug–Dec) | 309 | 193 | 502 |
| 2018 | 1409 | 781 | 2190 |
| 2019 | 2237 | 1022 | 3259 |
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Hridyam Patient Surgical Profile.
| Age | Year | Number of Cases (proportion %) | Most Frequent Procedures |
|---|---|---|---|
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| 2017 | 17 (8.2) | |
| 2018 | 83 (13.3) | ||
| 2019 | 166 (13.5) | ||
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| 2017 | 99 (47.6) | |
| 2018 | 306 (49.0) | ||
| 2019 | 614 (50.0) | ||
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| 2017 | 92 (44.2) | |
| 2018 | 235 (37.7) | ||
| 2019 | 447 (36.4) | ||
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Hridyam Surgical Outcomes.
| Year | Surgical Cases | ≤30-day Mortality (% of cases) | Late Mortality(% of cases) |
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| 2017 (Aug–Dec) | 208 | 3 (1.4) | 4 (1.9) |
| 2018 | 624 | 22 (3.5) | 21 (3.4) |
| 2019 | 1,227 | 25 (2.0) | 19 (1.5) |
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Figure 6Reduction in all-cause and CHD-related infant mortality following the introduction of Hridyam programs in Kerala. By the non-parametric Mann Whitney U test, this improvement is of borderline statistical significance (p = 0.06), probably due to the small sample size of comparing data from two Hridyam years to four pre-Hridyam years.