Issue 28.
Monitoring the quality of
hospital care using routine data
A recent paper in Medical Care from the USA has suggested that analysis
of hospital outcome measures, a very relevant question since the Bristol enquiry and the
Shipman case, is too complex, often inaccurate and may be incomplete. They suggest a means
of standardising outcomes. They suggest that analyses should be restricted to comparisons
of subgroups of patients in which a close fit exists between the quality of care for the
disease state and the expected outcome. This approach is unproven but seemed an
interesting research attempt to look at outcomes.
Since their inception, quality-assessment studies based on
administrative data have been criticised for their imprecision. Various risk-adjustment
methods have been devised to make the screens more precise, but unexplained differences in
inpatient populations may persist. The model described by the authors is to select
specific disease-outcome pairs, rather than risk adjustment across all disease categories.
The outcome looked at by the authors included unplanned readmissions, but the model could
be used to monitor other outcomes of hospital care, such as complications and mortality.
They chose eight criteria that have been outlined for the selection of
disease-outcome pairs to be studied in large administrative data base analysis:
The disease should be well defined and easily diagnosed
If disease groups are used, they should be clinically homogeneous
The disease must be prevalent
The disease should not be affected by the limitations of the ICD-9
coding scheme
There must be a medically plausible link between the outcome and the
inpatient process of care
The limitations of the administrative database, especially
completeness must be considered
Care that leads to the outcome, but conforms to practice standards
must be excluded
The outcome must be prevalent
A panel of experts identified suitable subjects according to the above
criteria. Some similar work was required of the experts to decide if the outcome chosen
was relevant to the disease in question.
After disease-outcome pairs have been selected individual wards or
hospitals can be compared. Before the results of large data base analysis are used as the
basis for changes in the process of care, however, the data must be validated through
medical record review. This model may serve as a useful and economical gauge of health
care quality.
Ref:
web
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Specialist Liaison Nurses
A recent BMJ leading article looked at the effectiveness of specialist
liaison nurses. It made the point that the number and roles of clinical nurse specialists
continue to increase in many areas of health care, despite limited evidence about their
use. Nevertheless, nurses now lead services, admit and discharge patients, make autonomous
clinical decisions, and organise programmes of care. What do we know about the use of such
nurses and about their effectiveness?
A database maintained at the University of Sheffield identifies 603
specialist posts in 40 acute trusts, but most of these emerging new initiatives have not
been reliably evaluated. The UK nursing registration body (the United Kingdom Central
Council) does not define standards or set specific training for clinical nurse specialists
or nurse practitioners, and, since the title is not protected, it can be used by any
registered nurse. The council has, however, issued proposals for a professional standards
framework for these developing roles.
In terms of what these specialist nurses do best there is less
consensus. Few randomised-controlled trials have looked at the value of clinical nurse
specialists in terms of clinical and cost effectiveness, although evaluative surveys have
revealed high levels of satisfaction with the care received. One randomised trail
investigated the role of the specialist nurse for patients with stroke in the community
and showed that specialist nurse intervention (advice, information, and support to
patients and their families) resulted in, at best, a small improvement in social
activities, and only for mildly disabled patients.
A number of randomised trials of the effects of a specialist nurse
co-ordinator for terminally ill patients and those after myocardial infarction showed
little difference in patient or family outcomes.
Evidence of nurse led interventions in heart failure is more positive.
Nurses involvement in pre-discharge patient education and home visiting,
concentrating on adherence to treatment and recognising early signs of deterioration, has
shown significant reductions in readmission rates and quality of life. Another nurse specialism with positive outcomes is anticoagulation management: nurse specialists are no
more expensive than the consultant service, are at least as effective in terms of control,
and offer some clear advantages.
So what might we conclude from these conflicting data? On current
evidence it seems that specialist nurses are not likely to have a positive impact on care
outcomes if their role is essentially co-ordination of existing services, especially if
such services are themselves of variable quality. However, when nurses have a well defined
role in actually delivering clinical care, additional and specialised care such as
medication monitoring, or specific patient education they seem to be effective.
Nevertheless, further studies are needed to assess the clinical and cost effectiveness of
specialist nurses in each role and setting and this should happen before their
services are more widely adopted.
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General Practice variations
Some of the early work on practice variation in hospital was done on
urinary tract infection. Interesting to see the exercise being repeated some 30 years
later in general practice. Take heart UK GPs, this was done in the USA.
200 family practitioners were asked how to treat the following patient:
A 30 year old woman with a one day history of urinary urgency, dysuria,
and blood in the urine. She was an established patient to the practice with two prior
episodes of UTI.
This scenario generated 82 different treatment strategies from the respondents. All the
different antibiotic treatments given were too numerous to list and varied by dose, agent,
and length of treatment. 54% recommended a same-day office visit, 27% requested a sample
to be left at the office, without an appointment.
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Half of what you are taught as medical students will
in 10 years have been shown to be wrong. And the trouble is, none of your teachers knows
which half - George Pickett
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