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JCPSLP

Volume 19, Number 2 2017

101

Table 1. Search strategy

Database

Search terms

Number of papers

identified (new

papers)

speechBITE

Keywords – *phasia (to identify aphasia or dysphasia)

Speech pathology language area – aphasia

Type of intervention – computer-based intervention

44

CINAHL (Ebsco)

(aphasia or dysphasia or anomia) AND (computer* or microcomputer* or ipad or iphone or “smart

phone” or “smart tablet” or software or “virtual technology” or “mobile app” or “mobile applications”

or “digital health” or “e-health”)

162 (144 new)

Medline (Ebsco)

(aphasia or dysphasia or anomia) AND (computer* or microcomputer* or ipad or iphone or “smart

phone” or “smart tablet” or software or “virtual technology” or “mobile app” or “mobile applications”

or “digital health” or “e-health”)

52 (32 new)

PsycInfo (Ebsco)

(aphasia or dysphasia or anomia) AND (computer* or microcomputer* or ipad or iphone or “smart

phone” or “smart tablet” or software or “virtual technology” or “mobile app” or “mobile applications”

or “digital health” or “e-health”) to appear in (TI or AB)

125 (69 new)

Embase (Elsevier)

aphasia:ab,ti OR dysphasia:ab,ti OR anomia:ab,ti AND (computer*:ti,ab OR microcomputer*:ab,ti

OR ipad:ab,ti OR iphone:ab,ti OR “smart phone”:ab,ti OR “smart tablet”:ab,ti OR software:ab,ti

OR “virtual technology”:ab,ti OR “mobile app”:ab,ti OR “mobile applications”:ab,ti OR “digital

health”:ab,ti OR “e-health”:ab,ti)

21 (1 new)

Note:

TI/ti stands for word must appear in Title, AB/ab means word must appear in abstract

Table 2. Studies investigating computer therapy versus clinician-delivered therapy

Study

NHMRC Level

of evidence

Participants

Computer therapy

intervention

Main findings

Cherney, 2010

II- RCT

Computer group:

N = 11

mean age 56.6

mean post CVA = 66.7 months

aphasia type = non-fluent,

mean AQ = 62

Clinician-delivered:

N = 14

mean age = 61.1

mean post CVA = 41.3 months

aphasia type: non-fluent, mean

AQ = 47.3

Oral reading for language

in aphasia: Targeted

reading comp, auditory

comp, verbal expression

and written expression.

1 hr, 1–4 x week for

average 12 weeks.

Research assistant

available for set up and

troubleshooting.

No significant differences in

outcomes between computer

and clinician-delivered therapy.

Improvement across all language

domains in computer therapy group.

Thompson et al.,

2010

III-1

(pseudo- RCT,

non-random

allocation)

Computer group:

N = 6

mean age 50.5

mean post CVA = 74.4 months

aphasia type = non-fluent, 1

severe, 1 moderate, 4 mild

Clinician-delivered:

N = 8

mean age = 52.5

mean post CVA = 46.1 months

aphasia type:

non-fluent, 6 moderate, 2 mild

Sentactics: Targeted

production and

comprehension of

complex sentences. 4 1hr

sessions week, max 20

sessions.

Examiner present in room

to set up and monitor

participant’s verbal

responses.

No significant difference between

clinician-delivered and computer

therapy.

Sentactics significantly improved

all six aphasic speakers’ ability to

comprehend and produce trained

and untrained sentences.

Loverso & Prescott,

1992

III-2,

Within subject

design

N = 21

age not specified

at least 6 months post CVA

14 fluent, 7 non-fluent

severity ranged from mild–

severe

Cueing verb treatment:

Targeted generation

of simple grammatical

sentences. Assistance by

clinician. Frequency not

specified.

Observed improvements for both

treatment types.

Clinician-delivered therapy showed

greater improvement than computer

therapy and fewer sessions to reach

criterion level for non-fluent and

fluent aphasia and for participants

above 50th percentile on PICA. No

statistical analyses reported.