EFFECTIVENESS OF DIGITAL MANIPULATION OF THYROID CARTILAGE IN THE MANAGEMENT OF STUTTERING IN ADULTS

Nasir Khan, Tahir Masood, Waqar Ahmed Awan

Abstract


OBJECTIVE: To compare the effectiveness of digital manipulation of
thyroid cartilage (DMT) with Fluency Shaping Therapy (FST) for the
management of stuttering in adults.
METHODS: This randomized clinical trial was conducted in Speech-Therapy
department of National Institute of Rehabilitation Medicine Islamabad.
Twenty male adult patients were recruited in the current study
through non-probability, convenience sampling. The participants were
randomly allocated into two equal groups (n=10): DMT group & FST
group. Scale of rating severity of stuttering was used to assess the severity
level at baseline and after the completion of 24 training sessions.
Three vowel approaches with four sets of 5-repetition each were performed
for each vowel in DMT group. Training in FST group comprised
of speech techniques like easy onset, prolongation of speech, continuous
phonation and light articulatory contact in reading and conversation in
three speaking situations (speaking with therapist, reading aloud and
free conversation).
RESULTS: Mean age of the participants in DMT group was 21.4±2.2
years and FST group was 20.9±3.2 years. At baseline, there was no
significant difference between DMT and FST groups regarding the severity
of stuttering (5.3±0.94 vs. 5.6±0.96; p=0.492). As a result of 12
weeks of treatment, both groups demonstrated significant improvement
(p<0.001). There was no significant difference between the groups after
intervention (4.6±1.26 vs 3.8±0.91; p= 0.12).
CONCLUSION: Both DMT and FST techniques are equally effective in
the management of stuttering in adults. Further large scale studies on
adults and children of both genders are needed to compare effectiveness
of DMT and FST.

KEY WORDS

Stuttering (MeSH), Stammering (MeSH), Fluency shaping therapy (Non-MeSH), stuttering modifications therapy (Non-MeSH), Behavior therapy (MeSH), Laryngeal manipulation (Non-MeSH). 


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