Pakistan Job Openings
Fleming Fund-DAI Pakistan
Data Collectors
Islamabad
November 15, 2024
Posted date
15th November, 2024
Last date to apply
24th November, 2024
Country
Pakistan
Locations
Islamabad
Category
Enumerator
Type
Temporary
Introduction
Position Summary:
Enumerators are needed to collect data on antimicrobial use among pregnant women in Islamabad under the Fleming Fund’s AMR initiative. Responsibilities include conducting interviews with Lady Health Workers (LHWs) and pregnant women, ensuring data accuracy, and maintaining confidentiality. Candidates should have experience in health data collection, strong communication skills, and a bachelor’s degree. This role supports AMR surveillance efforts and informs strategies to address antimicrobial misuse in Pakistan.
Major Responsibilities:
Data Collection:
The project will require a total of 14 days to conduct two to three interviews (four pages of questionnaire) per day, each lasting a maximum of thirty minutes. The interviews will be conducted in urban slums of Islamabad. In total, upto 08 hours will be spent in the field each day. Daily Travel: All arrangements and travel within Islamabad to be managed independently.
Supervision and Support
The Fleming Fund (FF) is a U.K. Department of Health and Social Care programme to help low and middle-income countries fight Antimicrobial Resistance (AMR). AMR poses a severe global threat, expected to cause 10 million deaths annually by 2050. With potential costs reaching $100 trillion, its impact on the global economy is significant. Fleming Fund Grants aim to tackle the AMR challenge in developing countries including Pakistan. The grants are funded by the UK Department of Health and Social Care and managed by Mott Mac Donald for the country, regional and fellowship grants. Pakistan has received Fleming Fund support since 2019 in the form of two Country Grants, 9 Fellowships, and central and local procurement of equipment, reagents, and consumables. Between 2017 and the end of phase-1 of the program in March 2023, the program has provided financial support to grantees to establish and support local development of national AMR surveillance systems.
In partnership with the Fleming Fund, DAI's programme in Pakistan collaborates with the Pakistani government to strengthen systems using a “One Health” (OH) approach – a multisectoral approach to complex health problems that reaches across human health, animal health, and environment sectors. As global leaders in One Health, the DAI team helps incorporate One Health across programme interventions. DAI is helping Pakistan become a leader in combating antimicrobial resistance, and a model for better management of antimicrobials in human and animal populations. DAI and its consortium partners have successfully secured an additional round, Phase 2, of the Fleming Fund Country Grant in Pakistan which spans from January 2024 to December 2025. The Phase 2 of the FFCG programme focuses on achieving four intermediate outcomes: 1) Production of quality AMR/U/C and burden of disease data; 2) Conducting quality data analysis; 3) Sharing quality data analysis with decision-makers; and 4) Contributing to sustainable investments at both the country and global levels to counter AMR.
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Position Summary:
Enumerators are needed to collect data on antimicrobial use among pregnant women in Islamabad under the Fleming Fund’s AMR initiative. Responsibilities include conducting interviews with Lady Health Workers (LHWs) and pregnant women, ensuring data accuracy, and maintaining confidentiality. Candidates should have experience in health data collection, strong communication skills, and a bachelor’s degree. This role supports AMR surveillance efforts and informs strategies to address antimicrobial misuse in Pakistan.
Major Responsibilities:
Data Collection:
- Conduct interviews with eligible women according to the provided questionnaire from pregnant women and lady health workers.
- Ask clear and unbiased questions, ensuring accurate and complete responses.
- Record responses accurately and legibly on the data collection forms.
- Observe and record relevant information as specified in the data collection tools.
- Adhere to the study timeline and meet daily targets.
- Maintain confidentiality of participant information at all times.
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- Ensure data quality by following the guidelines and protocols.
- Double-check completed forms for accuracy and completeness.
- Resolve any inconsistencies or missing information with the supervisor.
- Obtain informed consent from participants before the interview.
- Respect participant privacy and confidentiality.
- Refrain from sharing any information about participants with unauthorized individuals.
- Submit completed data collection forms to the supervisor on a daily basis.
- Report any challenges or issues encountered during data collection.
- Participate in data cleaning and quality assurance activities as needed.
The project will require a total of 14 days to conduct two to three interviews (four pages of questionnaire) per day, each lasting a maximum of thirty minutes. The interviews will be conducted in urban slums of Islamabad. In total, upto 08 hours will be spent in the field each day. Daily Travel: All arrangements and travel within Islamabad to be managed independently.
Supervision and Support
- Enumerators will be supervised by the AMU consultant.
- Regular supervision and feedback will be provided to ensure quality data collection.
- Support will be available to address any challenges or questions.
- Broad knowledge of the health systems in Pakistan. Knowledge and experience related to antimicrobial resistance (AMR) or AMC would be beneficial.
- Experience of data collection in Pakistan, including collecting data points for verification and reconciliation.
- Excellent interpersonal and communication skills for implementing questionnaires.
- Strong observation skills.
- Excellent writing skills.
- Ability to build rapport with participants and establish trust.
- Attention to detail and accuracy.
- Good organizational and time management skills.
- Minimum bachelor’s degree.
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