– the Ten Group Classification System (TGCS)
Providing quality evidence based perinatal care depends on determining
best processes and auditing results. Business and sport rely more on the
latter, adapting processes accordingly. Routine data collection, a
prerequisite to audit, remains neglected in healthcare, but its
importance is no better exemplified than by the current Covid epidemic.
Zeitlin (BJOG ………..) demonstrates that perinatal
audit is not recognized as a speciality. No consistent definitions or
classifications are used and there is no formal training programme.
There is no commitment at professional or government level to reward
quality information. The diversity of sources of information used in the
article masks the responsibilities that electronic patient record
vendors and individual clinicians have. Clinical information needs to be
easily collected and reported on and documented in a disciplined manner.
It is crucial to appreciate that all data needs validation. Known knowns
must be actually what they seem and not unknown unknowns (things that we
don’t know we don’t know).
The Ten Group Classification System (TCGS) was originally constructed as
a perinatal classification system for analysing all perinatal events,
outcomes, satisfaction and complications (short and long term) including
anaesthesia, neonatal and pathology. The starting ten groups, its
subgroups and certain amalgamated groups are remarkably consistent in
size between organisations and any variation is explained most commonly
by data quality and only after that should significant epidemiological
variables or differences in clinical practice be considered(Robson. AJOG 2018;1: 1-4) Furthermore because the groups are
relatively homogenous obstetrically, measuring certain clinical events
within the groups such as the use of oxytocin or caesarean section rate
(CSR) can further validate the data.
Once the TGCS has been embedded into routine data collection then
progress can be made in collecting and analyzing the known unknowns
(things we know we don’t know) (Robson BJOG 2015;122:701) . These
will be unique in terms of incidence and clinical significance within
the TGCS and once collected within the TGCS data validation and
interpretation becomes easier, more relevant and more rewarding. This
has implications for clinical practice as the TGCS is based on
prospectively identifiable groups so lessons can be quickly applied.
The true unknown unknowns, (undiscovered things that we don’t know we
don’t know) will hopefully become apparent in time either by chance or
intuition after implementation of the TGCS.
In this paper Zeitlin analyses CSR using the TGCS (Implementation
Manual. WHO 2017; Licence CC BY-NC-SA 3.0 IGO). For this controversial
debate to achieve any consensus we need to confirm what we think we know
and then decide what we need to know. It must include other events and
outcomes apart from CSR. (Kempe EJOG 2019;237:181-188) Currently
this concept has singularly failed and no consensus will be possible
until it is resolved.
The most fundamental measure of quality care is knowing your results
including the ability to interpret them. It is time to acknowledge
different ways of providing care and rather than concentrating on
standardizing processes standardize the way we carry out perinatal audit
so greater comparison and learning can take place between delivery
units. Ultimately this is the only way we will be able to ensure that
appropriate care is being given.
Robson MS. The 10-Group Classification System-a new way of thinking.
American journal of
obstetrics and gynecology. 2018 Jul;219(1):1-4
Robson M. The Ten Group Classification System (TGCS) - a common starting
point for more
detailed analysis. BJOG : an international journal of obstetrics and
gynaecology. 2015 Apr;122(5):701.
Robson Classification: Implementation Manual. Geneva: World Health
Organization; 2017.
Licence: CC BY-NC-SA 3.0 IGO.
Kempe P, Vikström-Bolin M. European Journal of Obstetrics & Gynecology
and Reproductive Biology 237 (2019) 181–18