{"doc_desc":{"title":"CVD Prevention","idno":"DDI-KEN-JARIM-CVDPrevention-2023-V1.0","producers":[{"name":"JARIM OMOGI ODUOR","abbreviation":"JOO","affiliation":"Jomo Kenyatta University of Agriculture and Technology (JKUAT)","role":"Documentation of the DDI"}],"prod_date":"2025-09-26","version_statement":{"version":"Version 1.0 (September 2025)"}},"study_desc":{"title_statement":{"idno":"DDI-KEN-JARIM-CVDPrevention-2023-V1.0","title":"ASSESSING TRANSFERABILITY OF HEALTH KIOSKS IN COMMUNITY MARKETS FOR CARDIOVASCULAR DISEASE PREVENTION AND HEALTH PROMOTION SERVICES IN KENYA.","alt_title":"N\/A"},"authoring_entity":[{"name":"JARIM OMOGI","affiliation":"Jomo Kenyatta University of Agriculture and Technology (JKUAT)"}],"oth_id":[{"name":"Bonface Butichi Ingumba","affiliation":"African Population and Health Research Center (APHRC)","email":"","role":"Data Governance Officer\/Data Documentation Specialist"}],"production_statement":{"producers":[{"name":"Dr Lydia Kaduka","affiliation":"Kenya Medical Research Institute (KEMRI)","role":"University Supervisor"},{"name":"Dr. Grace Mbuthia","affiliation":"Jomo Kenyatta University of Agriculture and Technology (JKUAT)","role":"University Supervisor"},{"name":"Prof. Anselimo Makokha","affiliation":"Jomo Kenyatta University of Agriculture and Technology (JKUAT)","role":"University Supervisor"}],"copyright":"Copyright \u00a9 APHRC, 2025"},"series_statement":{"series_name":"Demographic and Health Survey [hh\/dhs]","series_info":"N\/A"},"version_statement":{"version_date":"2025-09-26","version_notes":"N\/A"},"study_info":{"abstract":"ABSTRACT \nBackground: Health kiosks provide an opportunity to community members with inadequate access to health care a more accessible way to take control of their health and health information. \nThe critical component when it comes to transferability is whether a measured effectiveness of an applicable intervention can be achieved in another setting. Health kiosks provide an opportunity to community members with inadequate access to health care a more accessible way to take control of their health and health information. \nObjective: The aim of this study is to investigate the factors that would affect the transferability of health kiosks in community markets in Vihiga and Nyeri County in Kenya. \nMethods: The study will employ a convergent parallel mixed method design. It will use the conceptual Population-Intervention-Environment-Transfer Model of Transferability (PIET-T) to assess the transferability of health kiosks. The study will target 844 respondents in the two Counties that will be sampled randomly from households in Chavakali and Naromoru Wards.  It will also conduct qualitative interviews with healthcare workers, community members and policy actors to assess the transferability of health kiosks. mobile electronic data collection (ODK) will be used to collect quantitative data while key Informant guide and focus group guide will be used to elicit qualitative data.\nResults: The main results will include the sociodemographic characteristics and knowledge on cardio vascular diseases (CVDs), perception of health and health services and attitude towards the intervention. Findings will also capture the primary context (Vihiga) on the benefits of Health Kiosks in Market (HEKIMA) and its limitations. It will also give us a picture on the target context (Nyeri) and how the locals and the decision makers perceive HEKIMA. It will also include decision makers awareness, willingness and perception of the intervention and adoption\/implementation of the intervention. \nSignificance of the results\nThe findings will help policy makers to design evidence-based strategies on how easy to access the masses in their local set up with an aim to promote health and detect NCD risk factors earlier among the population.","coll_dates":[{"start":"2023-09-01","end":"2023-09-28","cycle":""}],"nation":[{"name":"Kenya","abbreviation":"KEN"}],"geog_coverage":"County coverage ( Vihiga and Nyeri Counties)","analysis_unit":"Individual : \n\u00b7\tAdults aged 18 years and above\n\u00b7\tMust be a resident of the six sub-locations in Chavakali and Naromoru\n\u00b7\tMust be persons with key information on health matters in the two counties \n\u00b7\tPersons with knowledge on physical\/structural environment on health","universe":"Persons with key information on health matters in the two counties and those who utilize Health Kiosks Services","notes":"Quantitative and qualitative tools collecting information on existence and impact of Health Kiosks on screening and management of  Cardio Vacular Diseases \n\ni.\tDoes perception of health services affect transferability of health kiosks in community markets to other settings and contexts? \nii.\tHow does intervention content affect transferability of health kiosks in community markets to other settings and contexts? \niii.\tHow does local and organizational setting affect transferability of health kiosks in community markets to other settings and contexts?  \niv.\tWhat are the factors responsible for adoption\/implementation of health kiosks in community markets?","study_scope":"Quantitative and qualitative tools collecting information on existence and impact of Health Kiosks on screening and management of  Cardio Vacular Diseases \n\ni.\tDoes perception of health services affect transferability of health kiosks in community markets to other settings and contexts? \nii.\tHow does intervention content affect transferability of health kiosks in community markets to other settings and contexts? \niii.\tHow does local and organizational setting affect transferability of health kiosks in community markets to other settings and contexts?  \niv.\tWhat are the factors responsible for adoption\/implementation of health kiosks in community markets?"},"method":{"data_collection":{"sampling_procedure":"3. 5 Sampling Procedure \n3.5 1 Quantitative \n3.5.1 1 Vihiga County \nFirst, all the community health units (CHUs) in Chavakali and Mudete were listed followed by randomly sampling them. Upon randomly picking the CHUs, all the villages within the sampled CHUs were listed and sampled randomly, upon which population proportion to size was used to determine the sample in each village. Upon determining the sample per village, systematic sampling was employed to calculate the periodic interval that advised on the skipping pattern. The periodic interval was determined by dividing the number of households by the sample size per village. A kish grid was then used to randomly choose household survey respondents. This method was chosen since it avoids bias selection (Kish, 1949). \n3.5.1 2 Nyeri County \nAccording to Nyeri County Government, Kieni East facilities are averagely 5-15 KM away yet it is the largest occupying more than half the land mass hence its choice. First, all the community health units (CHUs) in Naromoru ward will be listed followed by randomly sampling them. Upon randomly picking the CHUs, all the villages within the sampled CHUs will be listed and sampled randomly, upon which population proportion to size will be used to determine the sample in each village. Upon determining the sample per village, systematic sampling will be employed to calculate the periodic interval that will advise on the skipping pattern. The periodic interval will be determined by dividing the number of households by the sample size per village. A kish grid will then be used to randomly choose household survey respondents. \n3.5 2 Qualitative \nPurposive sampling will be used to identify locals and community health volunteers for each of the FGDs that will be conducted. Community health Assistants (CHAs) will help in selecting CHVs since they report to them. Health facility in charges, market champions and NCD coordinators on the other hand will be purposively selected. The criteria to be used to select the KIIs will be those directly offering services in the sector sphere and market leadership. This is because, it is believed that they have first-hand knowledge of issues surrounding provision of health at the primary health care in addition feasibility of market to be used as health kiosks mainly for the market champions. \n\n3. 6 Inclusion and Exclusion Criteria \n3.6. 1 Quantitative\n3.6.1 1 Inclusion Criteria \n\u00b7\tAdults aged 18 years and above\n\u00b7\tMust be a resident of the six sub-locations in Chavakali and Naromoru\n3.6.1 2 Exclusion Criteria \n\u00b7\tThe study will exclude the seriously ill patients \n3.6. 2 Qualitative \n3.6.2 1 Inclusion Criteria \n\u00b7\tAdults aged 18 years and above\n\u00b7\tMust be persons with key information on health matters in the two counties \n\u00b7\tPersons with knowledge on physical\/structural environment on health  \n3.6.2 2 Exclusion Criteria\n\u00b7\tPersons working at the health department in the two counties but not a decision maker on health matters in the two counties","sampling_deviation":"None","coll_mode":"Face-to-face [f2f]","research_instrument":"Quantitative and qualitative tools collecting information on existence and impact of Health Kiosks on screening and management of  Cardio Vacular Diseases \n\ni.\tDoes perception of health services affect transferability of health kiosks in community markets to other settings and contexts? \nii.\tHow does intervention content affect transferability of health kiosks in community markets to other settings and contexts? \niii.\tHow does local and organizational setting affect transferability of health kiosks in community markets to other settings and contexts?  \niv.\tWhat are the factors responsible for adoption\/implementation of health kiosks in community markets?","act_min":"3. 9 Data Management \nTraining of Research Assistants \nPrior to conducting focus group discussion, the researcher trained three young graduates to assist in the FGD facilitation. The young graduates were persons with public health knowledge and with experience in FGD facilitation. During the training, there was a review of written informed consent in both Swahili and English, review of research ethics, facilitation of the FGD with the use of a tape-recorder to ensure that they are well prepared, and note-taking is practiced.\nUndertaking Qualitative Data Collection \nThe focus groups in each of the two Counties were conducted until a point of saturation was achieved. All focus groups had 6-8 participants in each session and the FGDs lasted for about 30-40 minutes. For the purpose of the FGDs, the researcher was the moderator and was assisted by a note taker.  The KIIs on the other hand lasted for a maximum of 30 minutes. All the participants were read to an informed consent in both English and Swahili, depending on their preference, and written informed consent was obtained from all the participants. If a participant was unable to read or write, the consent form was read to him or her and an X was marked on her\/his consent, along with the signature of a witness. Participants were given a snack after the exercise. The FGD guides were translated to Swahili and participants were given a choice of whether to participate in English or Swahili. All FGDs and KIIs were recorded using a tape recorder and note taking was also conducted.\nData Storage and Retrieval \nGiven that this study employed use of mobile data collection, only the researcher was able to access the data. For the qualitative data, they were all stored in a password-protected computer and transcription  done manually by the researcher. The transcribed data wasl also uploaded into NVivo which was only accessed by the researcher. \nQuantitative Data Management \nQuantitative data collected through ODK was stored in a password protected laptop in addition to a backup that was only accessed by the researcher. Data was later converted into MS-Excel spreadsheets while cleaning, coding and analysis was done using STATA Version 15. Quality checks for the data was maintained by pretesting while developing the tool and including the skip pattern and constraints that were in built in ODK.","weight":"None","cleaning_operations":"Undertaking Qualitative Data Collection \nThe focus groups in each of the two Counties were conducted until a point of saturation was achieved. All focus groups had 6-8 participants in each session and the FGDs lasted for about 30-40 minutes. For the purpose of the FGDs, the researcher was the moderator and was assisted by a note taker.  The KIIs on the other hand lasted for a maximum of 30 minutes. All the participants were read to an informed consent in both English and Swahili, depending on their preference, and written informed consent was obtained from all the participants. If a participant was unable to read or write, the consent form was read to him or her and an X was marked on her\/his consent, along with the signature of a witness. Participants were given a snack after the exercise. The FGD guides were translated to Swahili and participants were given a choice of whether to participate in English or Swahili. All FGDs and KIIs were recorded using a tape recorder and note taking was also conducted.\nData Storage and Retrieval \nGiven that this study employed use of mobile data collection, only the researcher was able to access the data. For the qualitative data, they were all stored in a password-protected computer and transcription  done manually by the researcher. The transcribed data wasl also uploaded into NVivo which was only accessed by the researcher. \nQuantitative Data Management \nQuantitative data collected through ODK was stored in a password protected laptop in addition to a backup that was only accessed by the researcher. Data was later converted into MS-Excel spreadsheets while cleaning, coding and analysis was done using STATA Version 15. Quality checks for the data was maintained by pretesting while developing the tool and including the skip pattern and constraints that were in built in ODK.","method_notes":"N\/A"},"analysis_info":{"response_rate":"100%","sampling_error_estimates":"N\/A"}},"data_access":{"dataset_use":{"contact":[{"name":"JARIM OMOGI ODUOR","affiliation":"Jomo Kenyatta University of Agriculture and Technology","email":"oduoromogi@gmail.com","uri":""}],"cit_req":"Use of the dataset must be acknowledged using a citation which would include:\n- the Identification of the Primary Investigator\n- the title of the survey (including country, acronym and year of implementation)\n- the survey reference number\n- the source and date of download","deposit_req":"N\/A","conditions":"This Data is Open Access to facilitate Open Science","disclaimer":"The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses."}}}}