Acute respiratory infections : can a non-physician practitioner triage and treat patients by using an algorithm? Experience in a military primary care clinic

BACKGROUND: Acute respiratory viral infections are minor self-limited diseases. Studies have shown that patients with ARVI can be treated as effectively by non-physician practitioners as by physicians.

OBJECTIVES: To examine whether a military medic, using a structured questionnaire and an algorithm, can appropriately triage patients to receive over-the-counter medications and refer more complicated cases to a physician.

METHODS: The study group comprised 190 consecutive soldiers who presented to a military primary care clinic with symptoms of ARVI. Using a questionnaire, a medic recorded the patient's history and measured oral temperature, pulse rate and blood pressure. All patients were referred to a doctor. Physicians were "blind" to the medic's anamnesis and to the algorithm diagnosis. We compared the medic's anamnesis and therapeutic decisions with those of the doctors.

RESULTS: Patients were young (21.1 +/- 3.7 years) and generally healthy (93% without background illness). They usually had a minor disease (64% without fever) that was mostly diagnosed as viral ARVI (83% of cases). Ninety-nine percent were also examined by a physician. According to the patients' data, the medics showed high overall agreement with the doctors (83-97.9%). The proposed algorithm could have saved 37% of referrals to physicians, with a sensitivity of 95.2%. Had the medics been allowed to examine the pharynx for an exudate, the sensitivity might have been 97.6%.

CONCLUSIONS: Medics, equipped with a questionnaire and algorithm but without special training and without performing a physical examination, can appropriately triage patients and thereby reduce the number of referrals to physicians.

Medienart:

Artikel

Erscheinungsjahr:

2005

Erschienen:

2005

Enthalten in:

Zur Gesamtaufnahme - volume:7

Enthalten in:

The Israel Medical Association journal : IMAJ - 7(2005), 9 vom: 01. Sept., Seite 578-82

Sprache:

Englisch

Beteiligte Personen:

Golan, Danie [VerfasserIn]
Zagetzki, Michael [VerfasserIn]
Vinker, Shlomo [VerfasserIn]

Themen:

Anti-Bacterial Agents
Clinical Trial
Journal Article

Anmerkungen:

Date Completed 12.10.2005

Date Revised 19.11.2015

published: Print

Citation Status MEDLINE

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM158029496