Ethical problems in children during COVID-19 outbreak

Pengarang:

Fahisham Taib,

Paediatric Department, School of Medical Sciences, Universiti Sains Malaysia, 16150 Kubang Kerian, Kelantan

Pengarang Koresponden:

Dr. Fahisham Taib

Paediatrician & Medical Lecturer
Paediatric Department, School of Medical Sciences, Universiti Sains Malaysia, 16150 Kota Bharu, Kelantan, Malaysia Email: fahisham@usm.my

The SAR-CoV2 infection has affected more than 6 million of people around the globe with current mortality to up to 372000 lives1. It was reported that among those infected, approximately less than 5% were children under 18 and mostly were due to close contact2. In Malaysia, 317 cases were confirmed by Ministry of Health of Malaysia3. Significant difference between the frequency of COVID-19 in children in comparison to adult was due to exposure to the public area. There is uncertainty on the future course of the disease and how the global pandemic will pan out. Most of COVID-19 in children runs a milder course, however, there are increasing reports of presentation mimicking Kawasaki disease4.

It is expected during the peak of disease spread, as previously seen in Italy and America, the death tolls may be on the increase on daily basis. Children would be facing in similar scenario.  The Ministry of Health of Malaysia has introduced clinical staging the illness into– those who are asymptomatic, symptomatic with no pneumonia, symptomatic with pneumonia, symptomatic with pneumonia and requiring oxygen supplement and critically ill with severe respiratory compromised and multi organ involvement5. Children who are suspected to have COVID-19 infection are labelled have Acute Respiratory Illness (ARI), Influenza-Like Illness (ILI) or Severe Acute Respiratory Illness (SARI)6. The influx of patients hypothetically may cause hospital resources to be exhausted. There are several ethical problems during this pandemic that require serious consideration in paediatric population (Summarize in Table 1)7;

Issue related to individual child

Issue related to institutional

 

Issue related to social policy

Conclusion

The “clinical reasonableness” or “soft utilitarian” approach is one of the approach in the face of resource scarcity has been practiced in Italy during the peak pandemic time. Though many guidelines did not suggest that age or other specific factors should be the determining factor for resource allocation, it is acknowledged that an age limit for ICU admission may ultimately need to be set. Under the difficult circumstances, rationing is often better tolerated when done silently9. In disaster relief studies, respecting human rights, culture, beliefs, structures, and customs of the communities should be considered. Recent commentary on ethical decision making still focusing on four values as per table 310. Difficult decision-making are made on a regular basis in both public health and clinical medicine practice; however, in the process for decision making, including the framework and reasoning that support ethical choices, may not always be clearly articulated.

Table 1: Reasons for choosing patients during the pandemic7

Category

Factors

Descriptions

Medical measures

Medical needs

Sickest first

Patients medical needs

Urgency of need

Risk of serious sequelae

Clinical evaluation result

Victims’ underlying illnesses and injuries

Likely to benefit

Possible benefit to the patient

Maximize positive outcomes

Medical effectiveness

Survivability

Survivability

Medical prognosis

Pre-existing conditions

Acute versus chronic conditions

Non-medical measures

Saving the most lives (Utilitarianism)

Save the most lives

Maximize the number of lives saved

Youngest First

Lifecycle principle

Save the most life years

Saving better QOL

Change in quality of life (QOL)

Save the most quality of life-years’

Perceived QOL

Protecting vulnerable groups

Protecting children, women, pregnant women

Greater vulnerability

Promoting social justice

Differences in social vulnerability

Saving function of society

Saving first responders

Public safety staff, and government decision-makers

Irreplaceability in the critical infrastructure workforce

Most productive people

Required resources

Consideration of availability of resources

Requiring resources that cannot be provided

Resource conservation

Expected duration of resources

The required resources

Unbiased selection

Queuing

First come, first served

Lottery

Table 2: Assessment of triage factors8

Urgency

High

High risk (eg >80%) of dying or of suffering serious harm if patient does not receive treatment in the near future

Moderate

Moderate risk (eg 30-70%) of dying or of suffering serious harm if patient does not receive treatment in the near future

Low

Low risk (eg <20%) of dying or of suffering serious harm if patient does not receive treatment in the near future

Survival

High

Patient has a high chance (eg. >80%) of survival if provided with treatment

Moderate

Patient has a moderate chance (eg 30-70%) of survival if provided with treatment

Low

Patient has a low chance (eg <20%) of survival if provided with treatment

Likelihood of rapid benefit

High

Patient has a high probability (eg >80%) of requiring only a short duration of support (ie intensive care admission) if provided with treatment

Moderate

Patient has a moderate probability (eg 30-70%) of requiring only short duration support if provided with treatment

Low

Patient has a low probability (eg <20%) of requiring short duration of support if provided with treatment (ie prolonged duration is likely)

Table 3: Ethical Values to Guide Rationing of Absolutely Scarce Health Care Resources in a Covid-19 Pandemic10

Ethical values and Guiding principles

Application to COVID-19

Maximize benefits

·         Save most lives

·         Save most life-year – maximize prognosis

Receives the highest priority

Receives the highest priority

Treat people equally

·         First come, first served

·         Random selection

Should not be used

Used in patients with similar prognosis

Promote and reward instrumental value (benefit to others)

·         Retrospective – priority to those who have made relevant contributions

·         Prospective – priority to those who are likely to make relevant contributions

Gives priority to research participants when other factors such as maximizing benefits are equal

Gives priority to healthcare workers

Give priority to the worst off

·         Sickest first

·         Youngest first

Used in aligns with maximizing benefit

Used in aligns with maximizing benefit

References

Cetak