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Identifying key beliefs of self medication with antibiotics in Yogyakarta City Indonesia (by applying the Theory of Planned Behavior) Aris Widayati 1,3,4 , Sri Suryawati 2 , Charlotte de Crespigny 3 , Janet E. Hiller 4,5 1 Faculty of Pharmacy Sanata Dharma University Yogyakarta Indonesia 2 Faculty of Medicine Gadjah Mada University Yogyakarta Indonesia 3 School of Nursing, 4 School of Population Health and Clinical practice University of Adelaide Australia 5 Faculty of Health Sciences Australian Catholic University Australia Presented at the 3 rd ICIUM 2011 (International Conference for Improving Use of Medicines), Antalya Turkey, 14 – 18 November, 2011
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Page 1: Identifying key beliefs of self medication with antibiotics in Yogyakarta City Indonesia (by applying the Theory of Planned Behavior) Aris Widayati 1,3,4,

Identifying key beliefs of self medication with antibiotics in Yogyakarta City

Indonesia (by applying the Theory of Planned Behavior)

Aris Widayati 1,3,4, Sri Suryawati 2, Charlotte de Crespigny3, Janet E. Hiller 4,5

1 Faculty of Pharmacy Sanata Dharma University Yogyakarta Indonesia

2 Faculty of Medicine Gadjah Mada University Yogyakarta Indonesia

3 School of Nursing, 4 School of Population Health and Clinical practice University of Adelaide Australia

5 Faculty of Health Sciences Australian Catholic University Australia

Presented at the 3rd ICIUM 2011 (International Conference for Improving Use of Medicines), Antalya Turkey, 14 – 18 November, 2011

Page 2: Identifying key beliefs of self medication with antibiotics in Yogyakarta City Indonesia (by applying the Theory of Planned Behavior) Aris Widayati 1,3,4,

Background

Slide 2

Self medication with antibiotics

(SMA)

antibiotic resistance(WHO, 2001)

Indonesia:

Antibiotics are prescription–

only medicines

People may purchase antibiotics

without prescription

(Hadi, 2008)

Strategies to improve the use of antibiotics

health practitioners (Norris, 2007).

Investigation about individual’s behaviour related to SMA is required

Page 3: Identifying key beliefs of self medication with antibiotics in Yogyakarta City Indonesia (by applying the Theory of Planned Behavior) Aris Widayati 1,3,4,

Theoretical framework: Theory of Planned Behavior (Ajzen, 1991)

Slide 3

Intention to SMA

Behavioral beliefs (BB) X Outcome evaluation

(OE)= Attitude

Normative beliefs (NB) X Motivation to comply (MC)= Subjective norm

Control beliefs (CB) X Power of control beliefs

(P) = Perceived Behavioral Control

(PBC)

SMA Behavior

Figure: TPB framework

Page 4: Identifying key beliefs of self medication with antibiotics in Yogyakarta City Indonesia (by applying the Theory of Planned Behavior) Aris Widayati 1,3,4,

Objectives and methods

Slide 4

Exploring beliefs about SMA: Behavioural

advantages disadvantages

Normative approval disapproval

control facilitator barrier

Identifying beliefs affecting intent to SMA

Mixed methods TPB questionnaire

Cluster random sampling

Analysis (n=283): descriptive

statistics logistic regression

In-depth interview: 25 respondents

Thematic -content analysis

to develop TPB questionnaire

Adults (over 18 years)

Phas

e 1

Phase

2

Page 5: Identifying key beliefs of self medication with antibiotics in Yogyakarta City Indonesia (by applying the Theory of Planned Behavior) Aris Widayati 1,3,4,

Beliefs regarding SMA reported by respondents(Findings of the interviews – Phase 1)

Slide 5

Behavioural beliefs

Advantages of SMA: Saving time Saving money Avoiding over-

prescription

Disadvantages:

Concerns about: side/adverse effects, antimicrobial

resistance, misdiagnosing, inappropriate

antibiotics selection

Normative beliefs

Approval for SMA practice:

families + friends, particularly with health education / industry background,

pharmacy staff

Disapproval:

doctors (GPs).

Control beliefs

Factors that facilitate SMA:

availability of antibiotics over-the-counter;

sucessful experience in using antibiotics;

perception about similar antibiotics prescribed by doctors;

respondents’ knowledge about antibiotics

Barriers of SMA: medication for

children

Page 6: Identifying key beliefs of self medication with antibiotics in Yogyakarta City Indonesia (by applying the Theory of Planned Behavior) Aris Widayati 1,3,4,

Overall results of the survey (Phase 2 )

Attitude: respondents negatively evaluated SMA

practice

Subjective norm: respondents expressed no

social pressure to practice SMA

Perceived behavioural control: respondents

reflected a negative control of doing SMA - SMA

is quite tricky

Slide 6

Page 7: Identifying key beliefs of self medication with antibiotics in Yogyakarta City Indonesia (by applying the Theory of Planned Behavior) Aris Widayati 1,3,4,

Beliefs that affect intent to SMA

Respondents are more likely to intend to SMA if:

they have successful experience in using antibiotics; OR=0.32 (0.16 – 0.66)

They purchase antibiotics without prescription from outlets other than kiosks ; OR=0.15 (0.03 – 0.81).

Slide 7

Page 8: Identifying key beliefs of self medication with antibiotics in Yogyakarta City Indonesia (by applying the Theory of Planned Behavior) Aris Widayati 1,3,4,

Implications

Policy:

• Enhancing public awareness regarding the risks of SMA

• Strengthening regulations regarding antibiotics supply and distribution

• Improving prescribing policies

Practice:

Health messages to public should focus on disadvantages of SMA

Health practitioners should improve the provision of information about the safe use of antibiotics

Slide 8

Page 9: Identifying key beliefs of self medication with antibiotics in Yogyakarta City Indonesia (by applying the Theory of Planned Behavior) Aris Widayati 1,3,4,

Lessons learnt

• The Theory of Planned Behavior framework + mixed methods

are useful to explore individual factors regarding SMA

behavior.

Developing the TPB questionnaire is time consuming.

Potential biases should be considered in future research , such

as:

Self-report responses,

Inclusion criteria of sample.

Slide 9

Page 10: Identifying key beliefs of self medication with antibiotics in Yogyakarta City Indonesia (by applying the Theory of Planned Behavior) Aris Widayati 1,3,4,

Specific studies for future research agenda

In-depth interview with a group of the surveyed population: to explore underlying factors of SMA practice

Focus group discussion with stake holders and policy makers: to formulate strategies regarding policy and practice for

improving the safe use of antibiotics.

Slide 10

Page 11: Identifying key beliefs of self medication with antibiotics in Yogyakarta City Indonesia (by applying the Theory of Planned Behavior) Aris Widayati 1,3,4,

References

1. WHO, WHO global strategy for containment of antimicrobial

resistance, 2001, Switzerland: WHO.

2. Hadi U, et al: Survey of antibiotic use of individuals visiting

public healthcare facilities in Indonesia. International Journal

of Infectious Diseases, 2008, 12:622-629.

3. Norris, P., Intervention to improve antimicrobial use: evidence

from ICIUM 2004, 2007, Switzerland: WHO Press.

4. Ajzen, I., The Theory of Planned Behavior. Organizational

Behavior and Human Decision Process, 1991. 50: p. 179-211.

5. Tashakkori, A. and C. Teddlie, Eds. (2003). Handbook of Mixed

Methods in Social and Behavioral Research. California, Sage

Publications Inc.

Slide 11

Page 12: Identifying key beliefs of self medication with antibiotics in Yogyakarta City Indonesia (by applying the Theory of Planned Behavior) Aris Widayati 1,3,4,

Acknowledgements and funding This is a component of the first’s author PhD thesis in the

School of Population Health and Clinical Practice University of Adelaide Australia.

Research funding: the Ministry of Education, Indonesia (DIKTI Scholarship).

Travel funds: the WHO-SEARO. Acknowledges:

Colleagues at the Centre of Clinical Pharmacology and Drug Policy Study Yogyakarta;

Writing Group at the Faculty of Pharmacy Sanata Dharma University Yogyakarta Indonesia;

The Public Health Thesis Writing Group at the University of Adelaide.

Findings of the phase 1 had been presented at the 4th Asia-Pacific ISPOR at Thailand; travel funds: The University of Adelaide Australia.


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