Local
and international issues and barriers are associated with data sharing.
Institutions and publishers revisit publishing requirements on a
continual basis to address these concerns. Therefore, revisiting
publishing requirements is considered a continuous process improvement
strategy to incorporate agreements on data sharing between
organizations.
Read this article and take notes on the ethical
concerns and suggestions listed in each case study. What actions can you
recommend to an employer to mitigate obstacles and issues associated
with data sharing?
Case study 1: the antenatal corticosteroids trial
Background
Preterm
birth has been attributed to 28% of neonatal deaths worldwide.
Antenatal corticosteroids (ACS) administered to women with high risk of
pre-term birth has been known to reduce neonatal mortality in
high-resource settings. However, ACS are not routinely used in
low-resource settings.
The "Antenatal Corticosteroids Trial"
was initiated to address this problem. The trial was an 18-month
two-arm parallel cluster randomized trial designed to assess the
feasibility, effectiveness, and safety of an intervention package versus
a control group to increase the use of ACS in low- and middle-income
countries (LMICs). The study which was funded by the National institute
of Child Health and Human Development (NICHD) under the National
Institutes of Health (NIH), USA and was conducted at seven study sites -
one site each in Argentina, Zambia, Guatemala, Pakistan, Kenya, and two
sites in India.
The details of the trial, methods and results
have been described elsewhere. Briefly, the intervention arm
included health-provider training to identify women who are at risk of
preterm birth and provision of a kit to facilitate appropriate use of
antenatal corticosteroids. The control arm was standard care in those
communities. In both study arms, health providers were trained in the
basics of care for low birth weight babies.
To reduce bias, the
primary outcome data which was 28-day neonatal mortality among infants
less than the 5th percentile for birthweight, were collected
independently by the maternal and newborn health (MNH) registry staff.
Secondary outcomes were the level of use of antenatal corticosteroids
and suspected maternal infection. The MNH routinely collects data
consists of outcome data for all pregnant women residing within the
study clusters.
The intervention showed an increase of ACS use to
45% in women delivering infants less than the 5th percentile for
birthweight, compared with about 10% in women in the control group.
The intervention resulted in an increase in neonatal deaths (3.5 per
1000 livebirths) and an increase in perinatal deaths (5.1 per 1000
births) in the population. In addition, the intervention was also
associated with a 3.6% absolute increase in suspected infection among
mothers of less-than-5th -percentile infants and a significant 0.8%
increase among all women.
Analyses showed that ACS
contributed to the overall increase in neonatal deaths. One
explanation was that the screening approach used to determine risk of
preterm birth was not very specific. That could have led to potentially
harmful use of ACS for infants not delivered preterm. However,
researchers could not make a definitive statement about the impact of
the intervention on stillbirth rates in smaller and earlier gestational
age fetuses due to the poor gestational age dating available to those
participating in the trial.
In summary, the Antenatal
Corticosteroids Trial presented negative results. The intervention
employed in the trial did not reduce neonatal mortality in less-than-
5th-percentile infants. In addition, the intervention increased deaths
in the overall population and increased the risk of maternal infectious
deaths.
Selected ethical concerns and suggestions for ways forward
Since
Antenatal Corticosteroids Trial presented negative results, a keen
interest was generated among the different funding agencies and
researchers. The NIH policy expects researchers of primary study who are
funded by the NIH to share their individual level de-identified data
through the NIH data sharing repositories that make the data accessible
for reuse around the world.
Researchers encountered the following ethical issues related to data sharing after the completion of the trial:
1.
The Antenatal Corticosteroids Trial was completed in March 2014.
According to the NIH data sharing policy, researchers need to share the
trial data after the primary publication for further secondary analyses.
In this case, it was difficult to abide by this policy since the
outcomes of the Antenatal Corticosteroids Trial were captured in the MNH
registry which remains an ongoing study. The MNH registry started in
2008 by NICHD Global Network and since then it has been continued as a
population based registry to document maternal and newborn mortality as
well as their trends over time. Should data be available for only
completed studies or even ongoing studies as well?
After
discussion among the primary researchers and the funding agencies, it
was decided that the researchers would release the raw data of MNH study
(which captures the outcomes of Antenatal Corticosteroids Trial) for
the completed period from 2010 to 2013 in NICHD Data and Specimen Hub
(NDASH). Since the MNH registry is an ongoing study, the decision of
releasing the data of further years will be taken by the primary
researchers after periodically conducting the primary trend analysis.
2.
Concern was raised on the consent taken which was only for the primary
analysis. Since the primary researchers did not plan for sharing of data
for secondary analyses during the protocol development, there was no
mention in the consent form for secondary analyses of the data. There
was no consensus on whether a reconsent was needed during secondary
analyses.
3. The primary researchers also had apprehension on the
wrong interpretation of the data from the researchers during any
secondary analyses. The primary researchers decided that they should be
involved in the designing of future secondary analyses to prevent any
misinterpretation of the data.