Login
Login

APHRC Online Microdata Library
  • Home
  • About APHRC
  • Datasets
  • Collections
  • Citations
  • Resources
  • How to use it?
  • Why sharing data?
  • Contact us
    Home / Central Data Catalog / HEALTH_AND_WELL-BEING / DDI-KEN-APHRC-IPUSH-BASELINE-2022-V01
Health_and_Well-Being

Enhancing Universal Health Coverage in Kenya through Digital Innovations: A Financial and Health Diaries evaluation study of the i-PUSH program, iPUSH- BASELINE

KENYA, 2019 - 2020
Health and Well-Being (HaW)
Estelle M. Sidze, Hermann Donfouet, Wendy Janssens, Menno Pradhan
Last modified December 04, 2024 Page views 32125 Documentation in PDF Metadata DDI/XML JSON
  • Study description
  • Documentation
  • Data Description
  • Get Microdata
  • Data files
  • household
    anthroprometrics_baseline
  • household
    health of the
    children_baseline
  • household
    health
    outcomes_baseline
  • household
    healthcare
    utilization_baseline
  • household
    housing
    assets_baseline
  • household
    schedule_baseline
  • household
    social
    demographics_baseline
  • household
    diaries_endline
  • household
    education_endline
  • household
    employment and
    income_endline
  • household
    financial
    assets
    borrowed_endline
  • household
    anthrops_baseline
  • household
    financial
    assets
    finsavings_endline
  • household
    financial
    assets
    lent_endline
  • household food
    consumption_endline
  • household
    health
    outcomes_endline
  • household
    healthcare
    insurance_endline
  • household
    healthcare
    utilization_endline
  • household
    housing
    assets_endline
  • household
    kakamega
    endline_endline
  • household
    savings_endline
  • household
    schedule
    new_endline
  • household
    baseline_baseline
  • household
    schedule_endline
  • household socio
    demographics_endline
  • income
    hiding_game_baseline
  • men self
    efficacy_game_baseline
  • risk preference
    game_game_baseline
  • women
    empowerment
    game_game_baseline
  • women
    empowerment
    module_game_baseline
  • income
    hiding_games_endline
  • men self
    efficacy_games_endline
  • risk preference
    game_games_endline
  • household
    diaries_baseline
  • willingness to
    pay
    game_games_endline
  • women
    empowerment
    game_games_endline
  • household
    anthroprometrics_midline
  • household
    diaries_midline
  • household
    education_midline
  • household
    employment and
    income_midline
  • household food
    consumption_midline
  • household
    health
    outcomes_midline
  • household
    healthcare
    insurance_midline
  • household
    healthcare
    utilization_midline
  • household
    education_baseline
  • household
    housing
    assets_midline
  • household
    midline_endline_midline
  • household
    schedule_midline
  • household
    social
    demographics_midline
  • consultation
    visits_diaries
  • covid 19
    healthcare
    utilization_diaries
  • covid19 health
    problems_diaries
  • expenditure_diaries
  • food
    consumption_diaries
  • gift loans
    credit_diaries
  • household
    employment and
    income_baseline
  • health
    problems_diaries
  • household
    obsevation
    class_diaries
  • income running
    totals_diaries
  • income sales
    sevices_diaries
  • individual
    status_diaries
  • mental
    health_diaries
  • post
    birth_diaries
  • postnatal
    depression_diaries
  • pregnancy_diaries
  • savings_diaries
  • household
    financial
    assets
    borrowed_baseline
  • household
    financial
    assets
    finsavings_baseline
  • household food
    consumption_baseline

Data file: health problems_diaries

Cases 72276
Variables 64

Variables

hp_oid
ID of the health problems
hp_obsid
observation id
household_id
individual_id
individual id system genereted
county
name of the county
village
village
villagetype
type of the village
intvwdate
interview date:date interview was initiated
hp_date_simple
date of interview
year
week
diaries week
age
age (in years) of individual at last birthday
dateofbirth_simple
individual's date of birth
age_group
age groups
ind_relationship
individual relationship to the hhh
gender
gender of individual
hp_q02a_01
symptons:diarrhoea
hp_q02a_02
symptons:cough
hp_q02a_03
symptons:fever
hp_q02a_04
symptons:lack of appetite
hp_q02a_05
symptons:none
hp_q02
q02 kind of health problem or symptons
hp_q02_spy
q02 kind of health problem or symptons_spy
hp_q02coded_01
fever/malaria
hp_q02coded_02
typhoid fever
hp_q02coded_03
flu/cold/cough
hp_q02coded_04
chest pain (non-respiratory)
hp_q02coded_05
respiratory problems
hp_q02coded_06
cancer
hp_q02coded_07
diarrhoea
hp_q02coded_08
traffic accident
hp_q02coded_09
cuts/bleeding
hp_q02coded_10
burns
hp_q02coded_11
skin problems/allergy/itching
hp_q02coded_12
genital discomfort
hp_q02coded_13
urinary infection
hp_q02coded_14
hypertension
hp_q02coded_15
diabetes
hp_q02coded_16
headache
hp_q02coded_17
backache
hp_q02coded_18
arthritis/rheumatism
hp_q02coded_19
herna
hp_q02coded_20
broken bones
hp_q02coded_21
poor vision
hp_q02coded_22
dental problems
hp_q02coded_23
anaemia
hp_q02coded_24
worms
hp_q02coded_26
none
hp_q02coded_27
shortness of breath
hp_q02coded_28
malaria
hp_q02coded_96
other
hp_q03
q03 how severe the problem was
hp_q04_01
monday
hp_q04_02
tuesday
hp_q04_03
wednesday
hp_q04_04
thursady
hp_q04_05
friday
hp_q04_06
saturday
hp_q04_07
sunday
hp_q04_08
whole week
hp_q04_98
don't know
hp_q05
q05 number of times unable to do daily activity
hp_q06
q06 consulted someone
hp_q07
q07 who decided not to consult someone
Total: 64
APHRC Microdata Portal

© APHRC Microdata Portal, All Rights Reserved. Slot Online