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Screening can reduce number of patients in need of a doctor's time in busy South African clinic
Carole Leach-Lemens, 2013-01-29 17:50:00
Screening patients to identify those who are stable on treatment in a high-volume, large urban public-sector clinic in Johannesburg, South Africa has the potential to reduce total doctor visits by 40% (14,000 each year), ease clinic congestion, reduce the time patients spend at the clinic and maintain a high quality of care, researchers report in the advance online edition of the Journal of Acquired Immune Deficiency Syndromes.
Taking data gathered on patients who had been taking ART for at least six months, the researchers assessed the extent to which a number of criteria, including CD4 count, viral load and the absence of abnormal laboratory test results, predicted that a patient was stable on treatment, and therefore did not need to see a doctor at that clinic visit.
The analysis showed high sensitivity (true number of non-stable patients) ranging from 72.6% to 88.9% and low specificity (true number of stable patients) ranging from 43.9% to 46.1%.
This means using these criteria would result in missing a small proportion of patients needing a doctor visit-where a change of regimen or additional care might be needed-while having a limited but not inconsequential effect on reducing the overall number of doctor visits.
Nonetheless, the safety of this approach, the authors write, will need to be evaluated in a primary care setting.
In South Africa expansion of HIV counselling and testing and raising the CD4 cell count for starting ART has resulted in a 50% increase in those now eligible for ART. By 2016 an estimated 3.5 million could be on ART.
In a health care system with limited resources and clinic staff already working at capacity, the South African government is looking at how to better manage ART patients while maintaining quality of care.
“Task-shifting”, notably nurse initiated and managed ART care (NIMART) and the accreditation of public health facilities is the primary strategy.
Identifying stable patients at routine medical visits well enough not to need to see either a NIMART-trained nurse or doctor can ease the health care facility burden so offering a complementary approach, the authors suggest.
A screening tool able to correctly identify those patients only needing monitoring tests and to pick up their medication would allow clinician visits to target those most in need and reduce time patients spend at the clinic.
So the authors chose to look at how successful and how safe using such a screening tool would be at Thembu Lethu where in 2009-2010 over 13,000 patients were getting ART. Medical visits increased from 40,537 in 2009 to 47,467 in 2010 averaging 176 each day.
The authors identified stable and non-stable visits among all patients on ART for more than six months visiting the clinic between January 1 2007 and September 7 2011.
Stable patients were defined by asking HIV clinicians to identify which criteria would cause concern during a clinical visit. These included those used to define treatment failure, change in WHO stage, side effects and/or toxicity as well as good clinical practice.
The authors defined a medical visit as stable if it included all of the following:
· Stable CD4 cell count (greater than 75% of previous count (if CD4 count under 200 cells/mm3 with a viral load over or equal to 400 copies/mL) within twelve months (within six months if on ART for less than 12 months);
· Undetectable viral load (under 400 copies/mL) within 12 months (within six months if on ART for less than 12 months);
· Stable weight (less than 5% change since last visit (within six months for all patients; weight gain if rapid may be of concern since it could be a side effect);
· Not pregnant
· No comorbid conditions
· No change in ART regimen in the past three months
· No laboratory values showing a possible side effect or adverse event
o on zidovudine-anaemia (haemoglobin under 8g/dl)
o on nevirapine-liver function (ALT more than 100)
o on tenofovir-kidney function (creatinine clearance under 50ml/min)
Among over 14,000 patients with close to 140,000 medical visits over a third (46,532) were defined as stable.
The most common reasons for not being stable included detectable viral load (26.8%), weight change-loss or gain greater than 5% (18.6%) declining CD4 cell count (12.9%), co-morbid conditions (11.3%) and regimen change in the past three months (9.3%).
The first three reasons, note the authors, are likely to overstate non-stable visits because missing and out-of-date data will trigger a visit. CD4 cell counts and viral load tests were out-of-date for 6% and 6.8% of visits, respectively.
However, they add while over-classifying patients as non-stable may reduce the efficiency of such an approach it should increase the sensitivity so missing fewer patients needing to see a clinician.
The data used in the analysis was collected prospectively at a full-clinic visit. Putting this into practice means all information for determining whether a patient is stable has to be collected at a pre-clinical interview with review of test results, the authors write.
High quality care at this well-run clinic has produced a patient population with good clinic attendance. How well these criteria could be used in a less well-resourced ART clinic and/or without regular laboratory testing is unknown, they add.
For those patients who remain stable the additional criterion of a minimum schedule for a full-clinic visit needs to be considered. Inclusion of this criterion would then reduce the true number of non-stable patients.
Strengths include the large number of visits included in the model using a comprehensive clinical database.
They conclude “implementation…in a primary care setting is needed to determine the extent to which the criteria could reduce visits without compromising safety or follow-up.”
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