| Literature DB >> 35682457 |
Mengyue Zhang1, Janet W H Sit1, Dorothy Ngo Sheung Chan1, Oluwadamilare Akingbade1, Carmen W H Chan1.
Abstract
The urban-rural gap in cervical cancer screening uptake is a significant public health consideration. Educational interventions are commonly adopted to promote cervical cancer screening among females in rural areas; however, the characteristics and effectiveness of these educational interventions remain unclear. In this review, we aimed to identify the characteristics of educational interventions used in rural populations and to evaluate the effects of these interventions on cervical cancer screening-related outcomes. Seven English databases were searched in January 2022. Randomized controlled trials (RCTs) and quasi-experimental studies were included. The Joanna Briggs Institute (JBI) Critical Appraisal Checklist for Randomized Controlled Trials and the JBI Critical Appraisal Checklist for Quasi-Experimental Studies were used for quality appraisal. RevMan 5.4 software was used for the meta-analysis. A narrative synthesis was conducted in instances where a meta-analysis was inappropriate. Three RCTs and seven quasi-experimental studies conducted in six countries were included. A social cognitive theory-based framework, the community setting, group sessions, healthcare professional-led approaches, and culture-tailored materials were implemented in the educational interventions for cervical cancer screening. The educational content mainly included basic information on cervical cancer screening, psychological issues, barriers and strategies to overcome them, and locally available resources. Educational interventions increased the knowledge and uptake of cervical cancer screening in the rural population. However, the studies only evaluated the short-term effects of these educational interventions, with the cervical screening behavior only being assessed in one instance for each participant. Educational interventions promote cervical cancer screening among females in rural areas. Theory-driven, community-involved, group-based, and healthcare professional-led approaches should be prioritized in the application of educational interventions in rural populations. Both the short- and long-term, influences of educational interventions on the cervical cancer screening behavior of females in rural areas need to be recognized.Entities:
Keywords: cancer screening; health education; systematic review; uterine cervical neoplasm
Mesh:
Year: 2022 PMID: 35682457 PMCID: PMC9180749 DOI: 10.3390/ijerph19116874
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 4.614
Figure 1PRISMA flow diagram.
Quality appraisal of the RCTs.
| Nuno et al., 2011 [ | Sossauer et al., 2014 [ | Thompson et al., 2017 [ | |
|---|---|---|---|
| Q1 | U | Y | U |
| Q2 | U | U | U |
| Q3 | Y | Y | Y |
| Q4 | U | U | Y |
| Q5 | U | U | Y |
| Q6 | U | U | Y |
| Q7 | Y | Y | Y |
| Q8 | Y | Y | Y |
| Q9 | Y | Y | Y |
| Q10 | Y | Y | Y |
| Q11 | Y | Y | Y |
| Q12 | Y | Y | Y |
| Q13 | NA | NA | NA |
| Total score | 7 | 8 | 10 |
Quality appraisal of the quasi-experimental studies.
| Abiodun, 2014 [ | Choi, 2021 [ | Eghbal, 2020 [ | Luque, 2017 [ | Nagamma, 2020 [ | Caster, 2017 [ | Thahirabanuibrahim, 2021 [ | |
|---|---|---|---|---|---|---|---|
| Q1 | Y | Y | Y | Y | Y | Y | Y |
| Q2 | Y | Y | Y | Y | Y | Y | Y |
| Q3 | U | U | Y | Y | Y | NA | NA |
| Q4 | Y | Y | Y | Y | Y | N | N |
| Q5 | Y | Y | Y | Y | Y | Y | Y |
| Q6 | N | Y | Y | Y | Y | Y | Y |
| Q7 | Y | Y | Y | Y | Y | Y | Y |
| Q8 | Y | Y | Y | Y | Y | Y | Y |
| Q9 | Y | Y | Y | Y | Y | Y | Y |
| Total score | 7 | 8 | 9 | 9 | 9 | 7 | 7 |
Data extraction of the included studies.
| Study | Study | Population | Screening | Intervention | Comparison | Follow-Up | ||||
|---|---|---|---|---|---|---|---|---|---|---|
| Target | Financial | Educational | Sample Size | Duration | Withdraw | |||||
| Nuño et al., 2011, USA [ | RCT | 50–66 years and even older | Average monthly income: | 77.4% in | 381 | Pap smear | Promotora- | Usual care | 2 years | 10 |
| Sossauer et al., 2014, Cameroon [ | RCT | 25–65 years | Not report | High school graduate took the largest | 302 | HPV | Educational | Usual care | Immediately | 1 |
| Thompson et al., 2017, USA [ | RCT | 21–64 years; have not had a Pap test within the past 3 years | 24.9% had health insurance now, 18.3% never had | 93.2% in high school or lower | 443 | Pap smear | A: culturally | Usual care | 7 months | 40 |
| Abiodun et al., 2014, | QE | 25–64 years | Average monthly | 86.9% in | 700 | VIA | Multiple media health education based on a movie | Breast | 13 weeks | 86 |
| Choi and Kim, 2021, USA [ | QE | 21–65 years, have not had a Pap test within the past 3 years | Most (97.8%) had health insurance | College/university graduate took the largest account (73.9%) | 46 | Pap smear | Cervical cancer prevention | Not report | 8 weeks | 0 |
| Eghbal et al., | QE | 20–65 years and married at least once | Not report | 67.5% in | 160 | Pap smear | Educational | Usual care | 2 months | 0 |
| Luque et al., | QE | 22–62 years and had not received a Pap test in 2 years or more | Median weekly | Not report | 90 | Pap test | Salud es Vida | Nutrition class | 6 months | 0 |
| Nagamma et al., 2020, | QE | 18–55 years | Not report | Secondary | 166 | Pap smear | Audio-visual | Pamphlet | Immediately | 0 |
| Caster et al., 2017, Malawi [ | QE | 18–77 years | Monthly income: most (74%) less than $42 | Standard 4–8 took the largest account (46%) | 243 | Not report | Tablet-based | Immediately after the | —— | —— |
| Thahirabanuibrahim and Loga raj, 2021, | QE | 30–60 years | Lower class took the largest account (32.43%) | Primary | 370 | Pap smear | Health education model | Not report | —— | —— |
IG: Intervention group; CG: Control group; QE: Quasi-experimental study.
Intervention components.
| Study | Intervention | Intervention Components | |||||
|---|---|---|---|---|---|---|---|
| Theoretical | Delivery Mode | Dosage | Intervener | Settings | |||
| Duration | Frequency | ||||||
| Nuño et al., 2011, USA [ | Promotora-administered group education | Social Cognitive Theory | Face-to-face group | 2 h a session | Participants needed to | Promotora | Community |
| Sossauer et al., 2014, Cameroon [ | Educational intervention | Not report | Face-to-face group | Discussion: 5 min, | Not report | Healthcare | Healthcare center |
| Thompson et al., 2017, USA [ | A: culturally appropriate video | Social Cognitive | A: Self-directed learning: watching video | A: video: 13 min | A: Not report | A: self-direct | Community |
| Abiodun et al., 2014, Nigeria [ | Multiple media health education based on a movie | Not report | Face-to-face group | More than 4 h a day | 7 days | Healthcare | Not report |
| Choi and Kim, 2021 USA [ | Cervical cancer | Theory of Planned | Face-to-face group | 1 h a session | Once a week for 4 weeks | Healthcare | Community (church) |
| Eghbal et al., 2020, Iran [ | Educational program | Health Belief Model | Face-to-face group | 50–60 min | Once a week for 3 weeks | Healthcare | Healthcare center |
| Luque et al., 2017, USA [ | Salud es Vida | Social Cognitive Theory and Popular Education | Face-to-face group | 3 h each class | A total of 17 classes held with small groups | Promotora | Community |
| Nagamma et al., 2020, India [ | Audio-visual media | Not reported | A: Face-to-face group educational session | A: 30 min | A: seven | Healthcare | Community |
| Caster et al., 2017, Malawi [ | Tablet-based education program | Not report | Tablet | 30 min | Once | Healthcare | Not reported |
| Thahirabanuibrahim and Logaraj, 2021, India [ | Health education model | Theory of Planned Behavior | Video presentation | Not report | Once | Healthcare | Community |
Educational content.
| Author, Year | Basic Knowledge | Psychological Issues | Barriers to Screening and Overcoming Strategies | Locally Available |
|---|---|---|---|---|
| Nuño et al., 2011 [ | ü | ü | ü | |
| Sossauer et al., 2014 [ | ü | ü | ||
| Thompson et al., 2017 [ | ü | ü | ü | |
| Abiodun, et al., 2014 [ | ü | |||
| Choi and Kim, 2021 [ | ü | ü | ||
| Eghbal et al., 2020 [ | ü | ü | ü | ü |
| Luque et al., 2017 [ | ü | ü | ü | |
| Nagamma et al., 2020 [ | ü | |||
| Caster et al., 2017 [ | ü | ü | ||
| Thahirabanuibrahim and Logaraj, 2021 [ | ü | ü |
Educational materials.
| Author, Year | Audio-Visual Materials | Reading Materials |
|---|---|---|
| Video/Audio | Leaflet/Brochure/Pamphlet/Booklet | |
| Nuño et al., 2011 [ | Not report | |
| Sossauer et al., 2014 [ | ü | |
| Thompson et al., 2017 [ | ü | ü |
| Abiodun, et al., 2014 [ | ü | ü |
| Choi and Kim, 2021 [ | Not report | |
| Eghbal et al., 2020 [ | ü | ü |
| Luque et al., 2017 [ | ü | ü |
| Nagamma et al., 2020 [ | ü | ü |
| Caster et al., 2017 [ | ü | |
| Thahirabanuibrahim and Logaraj, 2021 [ | ü | |
Studies’ results and conclusions.
| Author, Year, | Outcomes | Conclusion |
|---|---|---|
| Nuño et al., 2011, | Uptake: post-intervention 89% of rural females in IG got screening while in CG it was 75% ( | A Promotora-based |
| Sossauer et al., 2014, | Knowledge: post-intervention 81.6% of rural females in IG got good knowledge while in CG it was 10.1% ( | Educational intervention |
| Thompson et al., 2017, USA [ | Uptake: post-intervention 53.4% of rural females in IG B got screening, while in CG it was 34.0% ( | Culturally appropriate in-home Promotora-led educational |
| Abiodun et al., 2014, | Uptake: post-intervention 8.3% of rural females in IG got screening while in CG it was 3.8% ( | Multiple media health |
| Choi and Kim, 2021, | Uptake: post-intervention 35.5% of rural females in IG got screening while in CG it was 7.7% ( | Cervical cancer prevention |
| Eghbal et al., 2020, Iran [ | Uptake: IG increased from 18.75% to 78.75% while CG increased from 16.25% to 22.5% ( | Educational program effective on increasing cervical cancer screening behavior among |
| Luque et al., 2017, USA [ | Uptake: no significant difference between IG and CG | Group educational intervention associated with increased |
| Nagamma et al., 2020, | Knowledge: post-intervention knowledge about Pap smear increased in both two groups ( | Face-to-face interactive sessions positive on increasing cervical cancer-related knowledge |
| Caster et al., 2017, Malawi [ | Knowledge: post-test correct respond about screening increased ( | Tablet-based educational |
| Thahirabanuibrahim and Logaraj, 2021, India [ | Knowledge: pre-test score 1.34, post-test score 2.34 ( | Health education model proved to be efficacious on |
Figure 2Effects of educational interventions on cervical cancer screening uptake (RCTs).
Figure 3Effects of educational interventions on cervical cancer screening uptake (Quasi-experimental studies).