{"doc_desc":{"title":"Packard v1.1","idno":"APHRC-PWK-2013-1.1","producers":[{"name":"African Population & Health Research Center","abbreviation":"APHRC","affiliation":"APHRC","role":"Metadata Producer"}],"prod_date":"2013-11-27","version_statement":{"version":"Version 1.1"}},"study_desc":{"title_statement":{"idno":"APHRC-PWK-2013-1.1","title":"Reversing the Stall in Fertility Decline in Western Kenya","alt_title":"PWK","translated_title":"ENGLISH"},"authoring_entity":[{"name":"African Population and health Research Centre","affiliation":"APHRC"},{"name":"","affiliation":""}],"oth_id":[{"name":"Mr. Cyprian A.O. Awiti","affiliation":"Marie Stopes International Kenya (MSK)","email":"","role":"Service provison"},{"name":"Dr. Jared Moguche","affiliation":"Marie Stopes International Kenya (MSK)","email":"","role":"Service provison"},{"name":"Dr. Caroline Tatua MBChB, MPH","affiliation":"Family Health Options of Kenya (FHOK)","email":"","role":"Service provison"},{"name":"Prof. Richard Muga","affiliation":"The Great Lakes University of Kisumu (GLUK)","email":"","role":"Service provison"},{"name":"Ms. Joyce Mbugua, BA, MCHD","affiliation":"The Great Lakes University of Kisumu (GLUK)","email":"","role":"Service provison"},{"name":"To the Study partcipants","affiliation":"West Kenya","email":"","role":"Participants"}],"production_statement":{"producers":[{"name":"Dr. Eliya Zulu","affiliation":"APHRC","role":"Co Investigator"},{"name":"Dr. Gwendolyn Morgan","affiliation":"APHRC","role":"Co Investigator"},{"name":"","affiliation":"","role":""}],"copyright":"\u00a9 APHRC, 2013","prod_date":"2013-11-27","funding_agencies":[{"name":"PACKARD Foundation","abbreviation":"","role":"Funder"}]},"distribution_statement":{"contact":[{"name":"Head Statistics and Surveys Unit","affiliation":"APHRC","email":"datarequests@aphrc.org","uri":""}],"depositor":[{"name":"","abbreviation":"","affiliation":""}]},"series_statement":{"series_info":"The study was implemented in two phases starting with Phase 1 in 2009 and Phase 2 in 2012"},"version_statement":{"version_notes":"Version 1.1, November 2014. Anonymized with DOI and Recommended Citation added."},"holdings":[{"text":"","location":"","callno":"","uri":"doi:11239\/176-2010-006-1.1"}],"study_info":{"keywords":[{"keyword":"Fertility, Western Kenya","vocab":"","uri":""}],"abstract":"Strong evidence base is required to effectively develop and deliver targeted reproductive health programs to underserved populations. The Packard Western Kenya (PWK) Project was a rural community-based contraceptive distribution intervention funded by the David and Lucile Packard Foundation to reverse the fertility stall in Western parts of Kenya, increase access and utilization of voluntary family planning services, and reduce unsafe abortions, infant and maternal mortality. The PWK project was a two-year demonstration imitative  implemented in four rural districts of Western Kenya, namely Siaya, Bondo, Teso and Busia by a consortium led by APHRC. Other partners in the consortium are Family Health Options of Kenya (FHOK), Great Lakes University of Kisumu (GLUK), Marie Stopes, Kenya (MSK), and the Ministry of Public Health and Sanitation.  \n\nThe objectives of PWK project were: \n\n1. To improve supply of family planning services through community based contraceptives distribution systems \n\n2. To improve supply of long-acting and permanent methods of family planning services through training and supportive supervision of health care workers \n\n3. To improve delivery of family planning services through integrated outreach and in-reach health programs \n\n4. To improve on informed demand for family planning services at the community level through interactive communications, and distribution of information, education and communication materials \n\n5. To provide evidence on the effectiveness of the intervention","time_periods":[{"start":"2010-07-07","end":"2010-07-20","cycle":""}],"coll_dates":[{"start":"2010-06-07","end":"2010-06-25","cycle":"Phase 1"}],"nation":[{"name":"KENYA","abbreviation":"KEN"}],"geog_coverage":"The study covered Bondo,  Siaya,  Busia and Teso Districts in Western Kenya","analysis_unit":"Households and Individuals","universe":"Women aged 15-49 in the four districts.","notes":"- HOUSEHOLD: Household characteristics, household listing, orphaned and vulnerable children, education, child labour, water and sanitation, household use of insecticide treated mosquito nets,  household assets and durability of housing.\n\n- WOMEN: Women's characteristics, reproduction, Birth history, Contraseption, maternal and child health, child mortality,  sexual activity and marriage, fertility preferences, spousal and interpersonal communication, gender iniquity measures, and Migration history.","study_scope":"- HOUSEHOLD: Household characteristics, household listing, orphaned and vulnerable children, education, child labour, water and sanitation, household use of insecticide treated mosquito nets,  household assets and durability of housing.\n\n- WOMEN: Women's characteristics, reproduction, Birth history, Contraseption, maternal and child health, child mortality,  sexual activity and marriage, fertility preferences, spousal and interpersonal communication, gender iniquity measures, and Migration history."},"method":{"data_collection":{"sampling_procedure":"The household survey sample was drawn from the population residing in the rural areas of the four larger districts (Bondo, Busia, Teso and Siaya) of Western Kenya. A representative sample of 2125 households was drawn for the survey using the KNBS National Sample Survey and Evaluation Program (NASSEP IV). The frame was last updated in 2008 to support the 2008-2009 National Demographic and Health Survey.\n\n\n\nUsing a two-stage sampling design that first selects Enumeration Areas (EA) and then randomly selects households per EA, a total of 60 rural EAs were sampled distributed as follows: Siaya 20,  Bondo 10,  Busia and Teso 15 each). In each selected EA, 35 households were randomly chosen. In each sampled household, the head of the household (or his\/her representative) was approached and asked for consent to participate in the survey. Information from the household head was gathered using a household questionnaire and was used to identify eligible women for the survey.  In addition, the household head responded to questions about assets and environmental circumstances including information on characteristics of the household's dwelling unit, type of toilet facilities, source of drinking water, and ownership of durable goods and livestock.","coll_mode":"Face-to-face [f2f]","research_instrument":"HOUSEHOLD QUESTIONNAIRE:\n\n Household characteristics, household listing, orphaned and vulnerable children, education, child labour, water and sanitation, household use of insecticide treated mosquito nets,  household assets and durability of housing.\n\n\n\nWOMEN QUESTIONNAIRE:\n\nWomen's characteristics, reproduction, Birth history, Contraseption, maternal and child health, child mortality,  sexual activity and marriage, fertility preferences, spousal and interpersonal communication, gender iniquity measures, and Migration history.","act_min":"There was a full time field coordinator to monitor and report progress on the project. APHRC and partner organizations also carried out random spot checks to improve quality.","weight":"The household data was weighted as seen in variable HH_weight\n\nThe Women's data was weighted as seen in variable Women_weight","cleaning_operations":"Data editing took place at a number of stages throughout the processing, including:\n\na) Office editing and coding\n\nb) Quality checking and completeness by the field coordinator","method_notes":"Typed based on hard copy questionnaires"},"analysis_info":{"response_rate":"Of the 2125 households selected for the survey, 2299 women were found eligible, of whom 1997 women consented and participated in the interview yielding a response rate of 86 percent.  The women response rates are highest in Teso (94 percent) and lowest in Bondo (81 percent). The main reason for no response among eligible women was the failure to find individuals at home or work places despite repeated callbacks made to the household by the interviewers."}},"data_access":{"dataset_use":{"contact":[{"name":"African Population and Health Research Center","affiliation":"APHRC","email":"info@aphrc.org","uri":"www.aphrc.org"}],"cit_req":"African Population and Health Research Center, Reversing the Stall in Fertility Decline in Western Kenya, November 2013. APHRC, Nairobi - Kenya. doi:11239\/176-2010-006-1.1","conditions":"DATA ACCESS CONDITIONS\n\nAll non-APHRC staff seeking to use data generated at the Center must obtain written approval to use the data from the Director of Research. This form is developed to assess applications for data use and facilitate responsible sharing of data with external partners\/collaborators\/researchers. By entering into this agreement, the undersigned agrees to use these data only for the purpose for which they were obtained and to abide by the conditions outlined below:\n\n1.\tData Ownership: The data remain the property of APHRC; any unauthorized reproduction and sharing of the data is strictly prohibited. The user will, therefore, not release nor permit others to use or release the data to any other person without the written authorization from the Center.\n\n2.\tPurpose: The provided data must be used for the purpose specified in the Data Request Form; any other use not specified in the form must receive additional or separate authorization.\n\n3.\tRespondent Identifiers: The Center is committed to protecting the identity of the respondents who provide information in its research. All analytical data sets (both qualitative and quantitative) released by the Data Unit MUST are stripped of respondent identifiers to protect the identity of the respondents. By accepting to use APHRC data, the user is pledging that he\/she will not, under any circumstance, regenerate the identifiers or permit others to use the data to learn the identity of any individual, household or community included in any data set.\n\n4.\tConfidentiality pledge: The user will not use nor permit others to use the data to report any information in the data sets that could identify, directly or by inference, individuals or households.\n\n5.\tReporting of errors or inconsistencies: The user will promptly notify the Head of the Statistics and Survey Unit any errors discovered in the data as soon as the errors are discovered.\n\n6.\tPublications resulting from APHRC data: The Center requires external collaborators to work with APHRC staff on all publications resulting from its data. In order to facilitate this, lead authors should send a detailed concept note of the paper (including the background, rationale, data, analytical methods, and preliminary findings) to the Principle Investigator (or Theme Leader) for the project (with a copy to the Director of Research), who will circulate the abstract to concerned researchers for possible expression of interest in participating in the publication as co-authors. Any exception to the involvement of APHRC staff should be approved by the Director of Research, APHRC.\n\n7.\tSecurity: The user will take responsibility for the security of the data by ensuring that the data are used and stored in a secure environment where access is password protected. This will ensure that non-authorized people should not have access to the data.\n\n8.\tLoss of privilege to use data: In the event that APHRC determines that the data user is in violation of the conditions for using the data, or if the user wishes to cancel this agreement, the user will destroy the data files provided to him\/her. APHRC retains the right to revoke this agreement or informs publishers to withhold publication of any work based wholly or in part on its data if the conditions for using the data are violated.\n\n9.\tAcknowledgement: Any work\/reports from this data must acknowledge APHRC as the source of these data. For example, the suggested acknowledgement for NUHDSS data is: \n\n\u201cThis research uses livelihoods data collected under the longitudinal Nairobi Urban Health and Demographic Surveillance System (NUHDSS) since 2006. The NUHDSS is carried out by the African Population and Health Research Center in two slums settlements (Korogocho and Viwandani) in Nairobi City.\u201d\n\nAdditionally all funders, the study communities that provided the data, and staff who collected and analyzed or processed the data should be acknowledged.\n\n10.\tDeposit of Reports\/Papers: The user should submit electronic and paper copies of all publications generated using APHRC data to the Policy Engagement and Communications Department, with copies to the Director of Research.\n\n11.\tChange of contact details: The user will promptly inform the Director of Research of any change in your personal details as contained on this data request form.","disclaimer":"The user of the data acknowledges that APHRC and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses."}}}}