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Table 3 Number of studies addressing Integrated Behavior Model (IBM) constructs to increase uptake of cervical screening

From: Interventions to increase uptake of cervical screening in sub-Saharan Africa: a scoping review using the integrated behavioral model

 

The IBM construct was considered

  

IBM construct

During intervention development

As target of intervention

As a measure/ outcome

Total number of studies addressing construct

N (%)

Studies and description of how construct was considered

Attitude

 Experiential

4

3

3

6 (31.6%)

Studies assessed attitudes and beliefs about cancer and screening and cited attitudes of health workers as a barrier to screening.

Huchko 2018 [23], Mbachu 2017 [25], Modibbo 2017 [27], Moses 2015 [28], Okeke 2013 [30], Risi 2004 [31]

 Instrumental

5

6

3

7 (36.8%)

Studies assessed perceptions of screening benefits, individual risk, and severity of cervical cancer. Motivational interviewing and incentivization interventions were used to overcome perceived barriers or increase perceived benefit.

Adamu 2012 [15], Adonis 2014 [17], Hewett 2016 [22], Mbachu 2017 [25], Mehrotra 2014 [26], Okeke 2013 [30], Rosser 2015 [32]

Perceived norm

 Injunctive

2

4

0

4 (21.1%)

Community health workers, peer educators, and personal escorts used to social influence to promote positive attitudes of screening.

Chigbu 2017 [18], Hewett 2016 [22], Lafort 2018 [24], Mbachu 2017 [25]

 Descriptive

1

3

1

4 (21.1%)

Culturally-relevant media and peer programs modeled screening behavior.

Abiodun 2014 [15], Huchko 2018 [23], Lafort 2018 [24], Risi 2004 [31]

Personal agency

 Perceived control

0

0

5

5 (26.3%)

Barriers to screening were assessed.

Abiodun 2014 [15], Adamu 2012 [16], Mbachu 2017 [25], Ndikom 2017 [29], Wright 2011 [33]

 Self-efficacy

2

2

0

2 (10.5%)

Motivational interviewing and screening demonstrations gave women confidence in their ability to screen and overcome identified barriers.

Adamu 2012 [16], Hewett 2016 [22]

Knowledge and skills to perform

8

12

6

13 (68.4%)

Poor knowledge/awareness was cited as a major barrier to screening. Interventions used education to increase knowledge of cervical cancer, screening, and availability of screening services.

Abiodun 2014 [15], Adamu 2012 [16], Adonis 2017 [17], Chigbu 2017 [18], Dreyer 2015 [19], Erwin 2019 [20], Gana 2017 [21], Mbachu 2017 [25], Ndikom 2017 [29], Okeke 2013 [30], Risi 2004 31], Rosser 2015 [32], Wright 2011 [33]

Environmental constraints

7

10

2

10 (52.6%)

Availability and accessibility of services were enhanced with free screening, transportation vouchers, and community-based screening. Studies measured type of transportation and distance to facility.

Adamu 2012 [16], Dreyer 2015 [19], Erwin 2019 [20], Hewett 2016 [22], Huchko 2018 [23], Lafort 2018 [24], Modibbo 2017 [27], Moses 2015 [28], Okeke 2013 [30], Risi 2004 [31]

Habit

0

0

0

0 (0%)

Studies did not address habitual screening behavior.

Salience of behavior

0

0

2

2 (10.5)

Studies asked women if they would test again in the future and what their future screening preferences were.

Huchko 2018 [23], Modibbo 2017 [27]

Intention to perform

1

0

4

4 (21.1%)

Intention was measured as “willingness to screen” among participants.

Abiodun 2014 15], Mbachu 2017 [25], Ndikom 2017 [29], Wright 2011 [33]