| Literature DB >> 29101131 |
Marwa Abdel-All1,2, Barbara Putica2, Deversetty Praveen3, Seye Abimbola1,2, Rohina Joshi1,2,4.
Abstract
INTRODUCTION: Community health workers (CHWs) are increasingly being tasked to prevent and manage cardiovascular disease (CVD) and its risk factors in underserved populations in low-income and middle-income countries (LMICs); however, little is known about the required training necessary for them to accomplish their role. This review aimed to evaluate the training of CHWs for the prevention and management of CVD and its risk factors in LMICs.Entities:
Keywords: cardiovascular disease; community health worker; low-income and middle-income countries; training
Mesh:
Year: 2017 PMID: 29101131 PMCID: PMC5695434 DOI: 10.1136/bmjopen-2016-015529
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Figure 1Flow diagram for systematic review process.
Characteristics of community health workers and trainers
| Study | Type of health workers (country of study) | CHWs (n) | Sex | Age | Education | Relation to health system | Trainers |
| Abrahams Gessel | Community health worker (Bangladesh, Guatemala, Mexico and South Africa) | 64 | 84% females | Not reported | B: secondary to master’s degree, | B: NGO employed | Health professionals: physicians, nurses, and nutritionists |
| Da Silva | Community health agents (Brazil) | 37 | 90.9% females | 50% of CHWs were up to 40 years | Secondary (67.3%) | Government employed | Researchers |
| Fatmah | Cadres posbindu and community health centre staff (Indonesia) | 45 | 100% females | Mean age 43.3 | Primary (26.7%), secondary (46.7%), diploma (26.7%) | Government employed | Not reported |
| Ku and Kegels | Barangay health worker (Philippines) | 87 | Not reported | Not reported | Primary (8%), | Government employed | Principal investigators and trained nurses |
| Nishtar | Female health worker (Pakistan) | 299 | 100% females | Not reported | Not reported | Government employed | Heartfile Officer |
| Sangprasert | Healthcare volunteer (Thailand) | 75 | 75% females | Mean age 49.5 | Primary (56.4%), | Volunteers | Not reported |
| Seyed Emami | Health volunteer (Iran) | 80 | 100% females | Not reported | Primary (39.0%), secondary (48.1%), university (12.2%) | Volunteers | Not reported |
| Sranacharoenpong and Hanning | Community healthcare worker (Thailand) | 35 | 97% Females | 25–34 years (17%), 35–44 years (63%), 45–54 years (20%) | Diploma (5.7%), | Government employed | Not reported |
B, Bangladesh; CHW, community health worker; G, Guatemala; M, Mexico; NGO, non-governmental organisation; SA, South Africa.
Training methods and duration for CVD and its risk factors management for community health workers in low-income and middle-income countries
| Study | Training details | Duration of training programme | Methods of training (workshop, online) |
| Abrahams-Gessel | Non-invasive screening of cardiovascular risk score | Hours of training not reported (2 weeks training over 4 months) | Lectures and interactive lessons |
| Da Silva | Hypertension knowledge and basic skills practices development | 16.5 hours (11 sessions fortnightly over 6 months) | Lectures and practical sessions |
| Fatmah | Obesity and hypertension knowledge | 11 hours (2 days) | Lectures and interactive sessions |
| Ku and Kegels | Diabetes knowledge and basic skills practices development | 32 hours | Lectures, two-way demonstrations and hands-on workshops |
| Nishtar | Cardiovasular disease prevention | 6 hours | Interactive training workshops |
| Sangprasert | Hypertension knowledge and basic skills practices development | Not reported | Lectures and group discussions |
| Seyed Emami | Health education about physical activity | 2.5 hours (three weekly sessions) | Lectures andgroup discussions |
| Sranacharoenpong and Hanning | Hypertension knowledge and basic skills practices development | 40 hours (16 sessions, over 4 months) | Lectures, group discussion, problem-based learning, e-learning and online support |
BMI, body mass index; CVD, cardiovascular disease.
Training content for CVD and its risk factors management for community health workers in low-income and middle-income countries
| Knowledge | Skills | |
| Abrahams-Gessel | Cardiovascular disease and its risk factors | Blood pressure measurement |
| Da Silva | Hypertension and its treatment | N/A |
| Fatmah | Obesity risk factors and consequences | BMI meter tool measurements for nutritional status assessment |
| Ku and Kegels | Diabetes diagnosis and management | Anthropometrical measurements (weight, height, waist and hip circumference), BMI and waist:hip ratio calculation and their interpretation |
| Nishtar | Blood pressure measurement importance and desired frequency | N/A |
| Sangprasert | Health promotion and health education practices | Blood pressure measurement |
| Seyed Emami | Food and nutrition | N/A |
| Sranacharoenpong and Hanning | Healthy dietary habits and providing proper dietary recommendations Physical activity and motivating at-risk population | Weight, height and waist circumference measurements and their interpretation |
BMI, body mass index; CVD, cardiovascular disease.
Figure 2Change in knowledge scores among community health workers.
Assessment of the quality of included studies using the Effective Public Health Practice Project’s tool46
| Study | Selection bias* | Study design† | Confounders‡ | Blinding§ | Data collection methods¶ | Withdrawals and dropouts** | Overall rating |
| Abrahams-Gessel | Weak | Moderate | Weak | Weak | Moderate | Weak | Weak |
| Da Silva | Moderate | Moderate | Moderate | Weak | Weak | Moderate | Weak |
| Fatmah | Moderate | Weak | Weak | Weak | Moderate | Weak | Weak |
| Ku and Kegels | Weak | Moderate | Not reported (weak) | Weak | Weak | Strong | Weak |
| Nishtar | Weak | Moderate | Not reported (weak) | Weak | Weak | Weak | Weak |
| Sangprasert | Moderate | Moderate | Moderate | Weak | Moderate | Weak | Weak |
| Seyed Emami | Strong | Weak | Strong | Weak | Strong | Moderate | Moderate |
| Sranacharoenpong and Hanning | Strong | Strong | Moderate | Weak | Strong | Strong | Moderate |
*Likeliness of the participants to be representing the target population.
†The likelihood of bias due to allocation process in the study design.
‡Effect of variables associated with the intervention and causally related to the outcome of interest.
§Likeliness of protection against reporting bias.
¶Reliability and validity of outcome measures.
**Assessment of the description of numbers and reasons for withdrawals and dropouts.