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A time-use study of community health worker service activities in three rural districts of Tanzania (Rufiji, Ulanga and Kilombero)
© The Author(s). 2016
Received: 9 November 2015
Accepted: 25 June 2016
Published: 1 September 2016
Despite expanding international commitment to community health worker (CHW) deployment, little is known about how such workers actually use their time. This paper investigates this issue for paid CHWs named “Community Health Agents,” which in Swahili is “Wawezeshaji wa Afya ya Jamii” (“WAJA”), trained for 9 months in primary health care service delivery and deployed to villages as subjects of a randomized trial of their impact on childhood survival in three rural districts of Tanzania.
To capture information about time allocation, 30 WAJA were observed during conventional working hours by research assistants for 5 days each over a period of 4 weeks. Results were presented in term of percentage time allocation for direct client treatment, documentation activities, health education, health promotion non-work-related activities and personal activities.
During routine 8-h workdays, 59.5 % of WAJA time was spent on the provision of health services and other work-related activities. Overall, WAJA spent 27.8 % of their work on traveling from home to home, 33.1 % on health education, 9.9 % of health promotion and only 12.3 % on direct patient care. Other activities related to documentation (7.8 %) and supervision (2.5 %).
Results reflect the pressing obligations of WAJA to engage in activities other than direct work responsibilities during routine work hours. Time spent on work activities is primarily used for health education, promotion, moving between households, and direct patient care. However, greater effort should be directed to strengthening supervisory systems and follow-up of challenges WAJAs facing in order to increase proportion of working hours.
Global commitment to primary health care development was accelerated by the 1978 Alma Ata International Conference on Primary Health Care (PHC) and expanded by the proliferation of community health workers (CHW) programs that has spanned three decades. Using a variety of strategies, CHWs have been deployed to implement a range of health service activities and act as agents to foster social change [1–3]. They are typically community members selected to perform functions related to basic preventive, curative, and promotional healthcare delivery [3, 4]. Most programs around the world rely upon CHWs who have minimal training and have no university-based degree training [5, 6]. In sub-Saharan African and other developing countries where CHWs are utilized, they receive brief technical training, usually focused on the provision of specialized packages, such as integrated packages (maternal and child health), focused package (antenatal care, newborn and family planning) and specific burden of diseases (Tuberculosis, malaria, HIV-AIDS, etc) [3, 7–9]. Their orientation and training range from 5 days to 9 months for programs where CHWs serve as multi-purpose paramedics [4, 10, 11].
Mounting evidence suggests that CHWs specializes on various health services have improved utilization of those services, for example the uptake of maternal and child health services by increasing community awareness about newborn care, prevention of communicable diseases and the use of rapid diagnostic tests to diagnose and treat malaria [6–8, 12]. Several important programs involve CHWs in the management of childhood illness . However there are voluntary and salaried CHW. The voluntary dedicate a limited time of about 2 to 4 h a week differently from salaried, who are full time on targeted intervention . The major factor limiting time devoted by voluntary and salaried CHWs to the community health works is poor remuneration, supervisions and supplies . A number of countries have either scaled up CHW programs  or seek to address the shortage of health workers by expanding CHW coverage and care [14, 15].
Tanzania is one of the countries aiming to increase coverage of health services provision and improve the continuum of care between the community and health facilities through the engagement of CHWs. This is pointed out in a document named Tanzania’s Primary Health Care Improvement Policy of 2007 (known by its Swahili acronym, “MMAM”), which calls for the development of a paid official government cadre of CHWs and reinforced in the Health Sector Strategic Plan IV 2015–2020. With development of policy guides, and presence of different types of CHW in Tanzania, the Tanzania Ministry of Health and Social Welfare (MoHSW), the Ifakara Health Institute (IHI) and the Mailman School of Public health of the Columbia University (MSPH-CU), in collaboration with the Tanzania Training Centre for International Health (TTCIH) developed curriculum and trained a standard CHW for 9 month. The trained cadre of CHWs was called Community Health Agents (CHAs) which in Swahili is “Wawezeshaji wa Afya ya Jamii” (“WAJA”). WAJAs are working in three rural districts of Tanzania in randomized cluster trial intervention called Connect Project. The project aims to strengthen the health system by utilizing WAJAs whom they are connecting communities to the health system, with the aim of reducing maternal mortality and improving child health to achieve MDGs 4 and 5 .
WAJAs perform a number of activities including health education, health promotion, curative and non-health-related work activities such as documentation and preparation of routine reports. Understanding the proportion of time that WAJAs spend on each activity and implication for the amount of time devoted to direct patient care is a key in understanding and strengthening the implementation of the WAJA program. Previous study in Southern Tanzania had shown that a minority of facility health worker time is spent on direct patient care, in spite of its importance relative to other activities . A study from Ethiopia found that health extension workers spent less time at community (37 %) compared to time spent at health post (51 %) . Another study from rural Ghana showed that community health officers and health extension workers spent only 12% of their time for direct patient . There is a need of exploring the time spent by CHW at community as there evidence that even at rural setting the health worker spent less than 1 % of their time in preventive and outreach services  that purposely has to be shared and performed by CHW.
The present study focused on understanding how the WAJAs spend their time on all tasks, grouped into community health services activities, other work-related activities and personal activities. In addition, the study assessed the relative proportion of observed CHW activities on maternal and child health services, health education, health promotion and documentation to better understand how the functioning of the WAJA program reflects the project’s focus on maternal and child health. This will point the time WAJAs spent at community in this project, and picture out what should be done during scaling up.
Study area and setting
The study took place in the Rufiji, Ulanga and Kilombero districts of Tanzania. In 2012, the Ifakara Health Institute in partnership with Rufiji, Ulanga and Kilombero districts deployed 142 full-time WAJAs, paid an amount equivalent to $120 USD per month, through their districts and deployed to some of the villages of these districts. WAJAs were attached to the existing health system and received supportive supervision from the clinicians based at the nearest health facility located within the village or near village. From the project setting the WAJAs received supervision from project coordinator, district CHW focal person and village supervisor .
Participants and sampling
The WAJAs were selected from their respective villages, trained for 9 months and deployed back to their original villages. They were provided with the essential equipment to facilitate their daily activities, including a bicycle, a mobile phone, malaria rapid diagnostic tests (RDTs), behavior change communication materials, and medicines such as oral rehydration salts, ant-malarias, antibiotics to treat pneumonia, contraceptive pills, condoms etc. More information about the Connect intervention is provided in previous publication .
The WAJAs participated in this study were drawn from a random selection of 14 out of the 50 villages where WAJAs were deployed. The number of WAJAs in the sampled villages ranged from one to four, and all WAJAs in the selected villages were eligible for participation in the study. A total of 30 WAJAs were working in the 14 selected villages. Participation in the study was voluntarily and written consent was obtained from each participant before the onset of the study.
Direct Observation Activity Classification Guide
1. Documentation and Reporting
Documentation (writing in register, patient books)
Completing monthly reports
Other documentation and reporting related activity
2. Supervision and Training
Visit from Village Supervisor
Visit from Facility Supervisor
Visit from Intervention Coordinator
Visit from WAJA focal person
Phone call with Village Supervisor
Phone call with Facility Supervisor
Phone call with Intervention Coordinator
Phone call with WAJA focal person
Training from the project
Training from other stakeholders
Other supervision/training related activity
3. Patient Care/Treatment
Family Planning provision
Examination/Treatment of disease or injury (under 5)
Examination/Treatment of disease or injury (over 5)
Talking to patient, but non-health related
Travel with referred patient/patient related
Other patient care/treatment related activity
4. Individual Patient Health Education and Counseling
Pregnant client - Healthy pregnancy
Pregnant client - Safe delivery
Pregnant client - Newborn care
Pregnant client - Breastfeeding
Pregnant client - Family Planning
Pregnant client - Other
Postnatal - Newborn care
Postnatal - Breastfeeding
Postnatal - Family Planning
Postnatal - Other
Growth monitoring (consult weight for age chart)
Malaria (bednet use, symptoms, treatment)
U5 illness (diarrhea, pneumonia)
HIV/AIDS related education
Clean environment, personal hygiene, and sanitation
Health insurance promotion
Other disease/Injury/treatment information
Talking to patient, but non-health related
5. Group Health Education and Counseling
Malaria (bednet use, symptoms, treatment)
U5 illness (diarrhea, pneumonia)
HIV/AIDS related education
Clean environment, personal hygiene, and sanitation
Health insurance promotion
Other disease/Injury/treatment information
Talking to group but non-health related
Cleaning of supply room/cupboard
Other sanitation/organization related activity
7. Other Work-Related Activities
Travel or moving between households and supply room
Other work-related travel
Assisting facility outreach services
Individual work for drafting work plan/schedule
Discussion with other WAJAs to form work plan
Communication with other WAJA (in-person or by phone)
Communication with village health committee
Communication with staff from a program/project
Attending village council meeting
Attending village health committee meeting
Attending health facility governing committee meeting
8. Non-Work Related Activities
Lunch or Break
Non-work related communication
WAJA closed/left for the day
Personal activities or travel (non-work related)
Observation of WAJAs was conducted according to Harvey’s description of analysis of time  which stipulates that observation of activities must be carried out for a sufficient length of time, and must be recorded, examined and coded along several dimensions. The instrument used to measure WAJA activities in this study was developed with input from the project intervention coordinators and trainers to determine the various activities conducted by WAJAs throughout their typical workdays. A pilot was performed for 2 days to test the applicability of the instrument in Rufiji district. After review of the tool, the teams carried out additional pilot in Rufiji and Kilombero districts to ensure research assistants were conversant with the final tool in each area.
The final classification tool used to observe WAJAs included 78 distinct activities, divided into eight categories that were documentation and reporting, supervision and training, patient care/treatment, individual health education, group health education, WAJA office cleaning and organization, other health work-related activities and lastly WAJA personal activity (Table 1).
Data collector training and data collection
Seven full time research assistants were trained on the use of the observation tool for 1 week. Then a day pilot was organized to test the tool in villages that were not sampled for the study. The observers were equipped to resemble WAJAs, with a bag and bicycle, in order to avoid conspicuousness and maintain a routine community environment as possible. Observers were trained to identify and they were provided with a sheet with a list of all tasks that WAJAs performs and were instructed not to interrupt any conversations or consultations that the WAJAs were engaged in. They were instructed to only ask the WAJAs questions if they were uncertain how to characterize the activity they were engaged in, and to only do so when the WAJA was not attending clients.
WAJAs are full time employees in the village with approximate working hours from 8:00 AM to 4:00 PM from Monday through Friday. Each WAJA was observed for 5 days. Days of observation for an individual WAJA were distributed across a 30-day period and took place on various days of the week to capture a varied sample of WAJA activities. Observation of each WAJA was conducted by the same research assistant for each of the 5 days of observation. Research assistants were present to observe WAJA activities from 8:00 AM until up to 5:00 PM, and completed observation when the WAJA finished their work for the day. Observations of WAJA activities were recorded in 10 min intervals. Research assistants selected the activity in the observation tool, that was most applicable to the activity being performed by the WAJA at the beginning of each interval, and recorded the activity code against the time of the observation. Data collection was done between July and August 2013, which was the harvest and dry season.
All procedures used in this study adhere to the STROBE guideline for reporting observation studies .
Two research assistants entered the data into EpiData and then transferred the data into Stata 12 using Stata transfer. Stata 12 was used to clean data; analysis was done using Stata 12 and Microsoft Excel. Analysis involved tabulations of the different activities performed by the WAJAs during observation to arrive at average amounts of time spent on each activity across the standard work day. Results were presented in term of figures and tables.
The attribute and pattern of WAJA working in the area shows that they are secondary school graduates. They are permanent residency of the villages were working. WAJA observed to be dedicated to their work all days of the week, with planned schedule from Monday to Friday. Six WAJA declared to attend a number of cases after 4.00 PM and over the weekend at their houses and even at mid night in case of emergencies.
This study is one of the few studies to examine time use among CHWs and the first for those professionalized and salaried in Tanzania . The finding that WAJAs are engaged in work-related activities for only 59 % of their working hours may be partly attributed to the fact that WAJAs are a new cadre in the Tanzanian health system and therefore require extensive supportive supervision and follow up  to ensure productivity. Because WAJAs are new to these responsibilities, they are in need of an enabling environment and quality support from the system [25, 26]. Typically, CHWs work in specific programs for an abbreviated period of time [14, 27] rather than as full-time, paid employees appeared to use few hours. Future implementation and scale-up of the WAJA program requires an understanding of the factors constraining the proportion of time that WAJA spend on community health services in the context of their full-time employment.
Findings showed that large portion of time been devoted is on promotion and preventive cases has also been observed by other study in Ethiopia . The communities are surrounded by a number of health issues that need daily clarification and reminds. These are issues like maternal education, under five health education and other health promotion of which CHWs invest more time on them  compared to facility based staff even working in rural setting .
Our study found that traveling from one household to another appear to take a large portion of WAJA time similar to that of Odendaal in South Africa  and may be related to the dispersed settlement patterns of the study communities in which the WAJAs provide services at the doorstep level. Supervision appeared small as this cadre was designed to work independently in a community for the large part of the time. Similar study done in Ghana documented that, less frequently of supervision reduces the volume of care by health workers working alone even at health facilities . Supervision as one of human resource management component is important as it creates a chance for discussion on challenging areas when services delivery.
This study is based on a relatively small number of participants and estimates of their working time are subject to a number of definitions and boundaries. In this case, boundaries have been influenced by the working location and preset working hours from 8:00 AM to 4:00 PM. Our study was unable to address the fact that WAJAs sometimes work outside the normal range of working hours, and therefore did not measure their activities off-hours such as response to emergencies, emergency provision of first aid and advice.
Another limitation is the fact that the study took place within a 30-day period, and therefore seasonal variations could not be observed. This study was conducted just after the end of the harvest season in Rufiji district and during the harvest season in Kilombero and Ulanga districts. Patterns of illness and WAJAs responses were therefore only representative of this small portion of the year. WAJA activities during the observed harvest and post-harvest seasons may have important differences compared to the rainy seasons when cultivation is taking place, because at this time, community members often reside on farms far away from their permanent homes. Understanding variation in WAJA time use in response to seasonal factors is important in this setting where the majority of community members are subsistence farmers.
Finally, the direct observation methods employed by this study are limited, that is WAJAs may have modified their work routines in response to the presence of the research assistants observing their work. Rather than capturing a sampling of actual WAJA work routines, direct observation rather captures a sampling of WAJA work routines in the presence of a research assistant given the task of observing their work. While this method may not capture a completely accurate portrayal of WAJA work routines, direct observation is considered more reliable than WAJA self-reports of their time use .
WAJA are a new cadre playing a crucial role in linking communities to the health system. This study observed that WAJAs spent a large portion of their time as intended in health education and promotion. However, greater effort should be directed to strengthening supervisory systems and follow-up of challenges WAJAs facing in order to increase the proportion of working hours spent on provision of services to their clients each day. In addition, it will be important to identify factors that facilitate and or hinder WAJA activities seasonally, as they work in rural area where most clients are subsistence farmers who move to their farms.
We sincerely thank the study participants (WAJA), and members of the Connect project, including Ruth Wilson, Awena Malendo, Dominick Mboya, Doroth Maganga and Samweli Likasi, for their cooperation during data collection.
The Connect Project is funded by the Doris Duke Charitable Foundation and Comic Relief.
Availability of data and materials
All principle results are within the manuscript in the form of figures. The data can be accessible based on request.
KT conceptualized the research question, designed the study, collected data, executed data analysis and drafted the manuscript. AS participated in designing the study and provided critical review of the manuscript. AMK and JFP designed the primary study and critically reviewed and revised the manuscript together with AE, CB and MN. All the authors read and approved the final draft of the manuscript.
The authors declare that they have no competing interests. All authors reviewed the manuscript prior to publication. The funders had no role in the design of this study; collection, management, analysis and interpretation of the data or the conduct of this study or preparation or approval of the manuscript.
Consent for publication
Ethics approval and consent to participate
The Ifakara Health Institute’s Institutional Review Board (IHI/IRB/No.16-2010), the National Institute for Medical Research of the Medical Research Coordinating committee (NIMR-CC) (NIMR/HQ/R.8a/Vol.IX/1203) and the Columbia University Medical Center Institutional Review Board (Protocol AAAF3452) all have approved this study. Participant in this was WAJA and the study focused only on WAJA activities. And before it started the WAJA were asked their consent on the first day of observation. No patient-related information was identified, assessed or recorded, so the patient was not asked for consent as they were not subject of the study. Observers were instructed to give privacy to WAJA clients during their consultations. If clients wanted privacy, the observer was instructed to leave and later ask the WAJA about the activity done and noted such observations as activities that were indirectly observed.
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- van Ginneken N, Lewin S, Berridge V. The emergence of community health worker programmes in the late apartheid era in South Africa: An historical analysis. Soc Sci Med. 2010;71(6):1110–8.View ArticlePubMedPubMed CentralGoogle Scholar
- Christopher JB, et al. Thirty years after Alma-Ata: a systematic review of the impact of community health workers delivering curative interventions against malaria, pneumonia and diarrhoea on child mortality and morbidity in sub-Saharan Africa. Hum Resour Health. 2011;9(1):27.View ArticlePubMed CentralGoogle Scholar
- Hoke T, et al. Community-based distribution of injectable contraceptives: introduction strategies in four sub-Saharan African countries. Int Perspect Sex Reprod Health. 2012;38(4):214–9.View ArticlePubMedGoogle Scholar
- Johnson CD, et al. Learning from the Brazilian community health worker model in North Wales. Global Health. 2013;9:25.View ArticlePubMedPubMed CentralGoogle Scholar
- Chopra M, et al. Effects of policy options for human resources for health: an analysis of systematic reviews. Lancet. 2008;371(9613):668–74.View ArticlePubMedGoogle Scholar
- Lewin S, et al. Lay health workers in primary and community health care for maternal and child health and the management of infectious diseases. Cochrane Database Syst Rev. 2010;3:CD004015.PubMedGoogle Scholar
- Mubi M, et al. Malaria rapid testing by community health workers is effective and safe for targeting malaria treatment: randomised cross-over trial in Tanzania. PLOS one. 2011;6(7). http://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0019753.
- Counihan H, et al. Community health workers use malaria rapid diagnostic tests (RDTs) safely and accurately: results of a longitudinal study in Zambia. Am J Trop Med Hyg. 2012;87(1):57–63.View ArticlePubMedPubMed CentralGoogle Scholar
- Tran NT, et al. Developing capacities of community health workers in sexual and reproductive, maternal, newborn, child, and adolescent health: a mapping and review of training resources. PLoS One. 2014;9(4):e94948.View ArticlePubMedPubMed CentralGoogle Scholar
- O’Brien MJ, et al. Role development of community health workers: an examination of selection and training processes in the intervention literature. Am J Prev Med. 2009;37(6 Suppl 1):S262–9.View ArticlePubMedPubMed CentralGoogle Scholar
- Najafizada S, Labonte R, Bourgeault I. Community health workers of Afghanistan: a qualitative study of a national program. Confl Heal. 2014;8(1):26.View ArticleGoogle Scholar
- Medhanyie A, et al. The role of health extension workers in improving utilization of maternal health services in rural areas in Ethiopia: a cross sectional study. BMC Health Serv Res. 2012;12:352.View ArticlePubMedPubMed CentralGoogle Scholar
- Cherrington A, et al. Recognizing the diverse roles of community health workers in the elimination of health disparities: from paid staff to volunteers. Ethn Dis. 2010;20(2):189–94.PubMedPubMed CentralGoogle Scholar
- Greenspan JA, et al. Sources of community health worker motivation: a qualitative study in Morogoro Region, Tanzania. Hum Resour Health. 2013;11:52.View ArticlePubMedPubMed CentralGoogle Scholar
- Guilbert JJ. The World Health Report 2006: working together for health. Educ Health (Abingdon). 2006;19(3):385–7.View ArticleGoogle Scholar
- Ramsey K, et al. The Tanzania Connect Project: a cluster-randomized trial of the child survival impact of adding paid community health workers to an existing facility-focused health system. BMC Health Serv Res. 2013;13 Suppl 2:S6.View ArticlePubMedGoogle Scholar
- Manzi F, et al. Human resources for health care delivery in Tanzania: a multifaceted problem. Hum Resour Health. 2012;10:3.View ArticlePubMedPubMed CentralGoogle Scholar
- Mangham-Jefferies L, et al. How do health extension workers in Ethiopia allocate their time? Hum Resour Health. 2014;12:61.View ArticlePubMedPubMed CentralGoogle Scholar
- Frimpong JA, et al. Does supervision improve health worker productivity? Evidence from the Upper East Region of Ghana. Trop Med Int Health. 2011;16(10):1225–33.View ArticlePubMedGoogle Scholar
- Bryant M, Essomba RO. Measuring time utilization in rural health centres. Health Policy Plan. 1995;10(4):415–22.View ArticlePubMedGoogle Scholar
- Harvey A. The measurement and analysis of time use. Soc Indic Res. 1990;23(4):303–8.View ArticleGoogle Scholar
- Woelk GB, et al. An activity sampling study of primary care staff of two Harare polyclinics. Cent Afr J Med. 1986;32(5):126–9.PubMedGoogle Scholar
- Desai P, McCaw AM. Proportion of time used productively by staff in Jamaica’s primary health care services. West Indian Med J. 1987;36(2):80–5.PubMedGoogle Scholar
- von Elm E, et al. The Strengthening the Reporting of Observational Studies in Epidemiology [STROBE] statement: guidelines for reporting observational studies. Gac Sanit. 2008;22(2):144–50.View ArticleGoogle Scholar
- Jaskiewicz W, Tulenko K. Increasing community health worker productivity and effectiveness: a review of the influence of the work environment. Hum Resour Health. 2012;10(1):38.View ArticlePubMedPubMed CentralGoogle Scholar
- Hill Z, et al. Supervising community health workers in low-income countries--a review of impact and implementation issues. Glob Health Action. 2014;7:24085.PubMedGoogle Scholar
- Mwai GW, et al. Role and outcomes of community health workers in HIV care in sub-Saharan Africa: a systematic review. J Int AIDS Soc. 2013;16(1):18586.View ArticlePubMedPubMed CentralGoogle Scholar
- Odendaal WA, Lewin S. The provision of TB and HIV/AIDS treatment support by lay health workers in South Africa: a time-and-motion study. Hum Resour Health. 2014;12:18.View ArticlePubMedPubMed CentralGoogle Scholar