Bangladesh2017 - NingJiang

[robin-wang]

[CHECKLIST] WORKFLOW DOC Tracker for Project Management https://github.com/Data-Whale-DC/HEFPI2022-SC-update-tasks/issues/1

[WORKING BRANCH] https://github.com/wengxyu1030/DHS-Recode-VII/tree/Bangladesh2017-JiangNing

[RAW DATA] https://worldbankgroup-my.sharepoint.com/:f:/g/personal/sneelsen_worldbank_org/Eu36TLZJIb5NuKfRQk_SdrYBKpl3yQhq8jkPCtdrsfM5_A

{FOR REVIEWERS}

• [ ] They can run the code smoothly on the reviewer's end, where the microdata could be generated without error
• [ ] Review and validate the quality checking output

{FOR CODERS} A. General Procedural Steps

• [x] Rebase current branch based on Master, ensure your branch is the latest. Tutorial: Rebasing your project branch onto another branch https://docs.github.com/en/desktop/contributing-and-collaborating-using-github-desktop/syncing-your-branch#rebasing-your-project-branch-onto-another-branch

• [ ] Run script without error

• [ ] Pass internal quality checking (the embedded quality check result: successfully produced value for the indicators and check if there're flags that the indicator value produced is too off from the published data)

• [ ] Document as comments any notable changes/caveats (if any)

• [ ] When Fully Completed Survey Edits, proceed to record hours worked: https://forms.gle/tLh7fxCMMsLobGHA6

B. Checklist and Guidance

• [x] ANC

  • Skill providers【qualified doctors, nurses, midwives, or paramedics; FWVs; CSBAs and SACMOs.】
  • Checked in the regular express section in Programs
  • Tetanus Injection
  • Number of Injection Before/During Pregnancy 【m1】
  • Recall period for last injection【5 years】
  • Relevant data comes other sections
  • Blood Pressure / Blood Sample / Urine Sample
  • Samples (m42c/d/e) are sub-questions for "receive antenatal care" in questionnaire or not【yes】

• [x] Delivery Care

  • c_facdel / delivery institutions / c_hospdel / delivery institutions【qualified doctors, nurses, midwives, or paramedics; FWVs; CSBAs and SACMOs.】
  • Consistent with the regular expression section in Programs
  • c_skin2skin
  • Check if available; if, then note which variable【available】
  • m15 skip condition
  • Usually delivery location is a filter question for c_caesarean(m17) / stay(m61) / mother or child PNC; list the conditions used for m15 if pattern is peculiar (normally (【m15=11,12】 etc))

• [x] PNC

  • child pnc
  • See if child pnc is only avaliable when (m15=11,12,96) or (m15!=11,12,96)
  • Check if Child PNC is designed to be from full sample, i.e not a subquestion within fertility section. If a subquestion, don't generate c_pnc_any and c_pnc_eff

• [x] Child Vaccination (search receive/month in birth.dta. if unknown vaccine pops up, search definition in DHS report)

  • BCG 【h2】
  • DTP/DPT, DTaP, DTwP or pentavalent 1-3 against diphtheria, tetanus and pertussis 【h3,h5,h7】
  • Polio 1-3 (IPV, OPV) 【h4 h6 h8】
  • Measles/MMR 【h9】
  • Other vaccines, if any, 【pneumococcal, rotavirus, hepatitis】

• [x] Child Illness

  • 20210510 For Providers, focus on the skilled providers rather than all
  • Diarrhea treatment provider【drop mcwc, non-qualified doctor's chamber】
  • Check provider list being consistent with existing list (if not make changes in program)【still need to be checked: uh & family welfare center, satellite clinic/epi outreach, ngo depo holder and ngo field worker】
  • Fever/Ari1/Ari2 treatment provider【drop mcwc, non-qualified doctor's chamber】
  • Provider list being consistent with existing list【】
  • Fever/Fever Treatment/Cough/Cough Treatment from Full Sample【yes】
  • c_diarrhea_med, medicine and formal meds to treat are survey-specific. 20210510 focus on special medicines
  • c_diarrhea_medfor, medicine and formal meds to treat are survey-specific. 20210510 focus on special medicines
  • Validate c_ari can be generated or not【yes】

• [x] Child Mortality

  • General Observations

• [x] Sleeping Under Bednet

  • Adhere to program's logic, but please list any specific bednet related observations (tricky cases for presumed treated or the like) 【no data found!】

• [x] Child Anthropometrics

  • General Observations (No need to generate "Wasting")

• [x] Reproductive Health

  • Contraceptive, check modern methods
  • In Need - most updated version of logics in program (temporarily no actions needed)

• [x] Female Anthropometrics and Cancer Screening【no data found】

  • Mammogram (X-ray, mamm...)
  • Pap Smear (Cervical vaginal cytology)
  • Note recall indicators for Mamm or Pap Smear (for example, s1012n used as filter for s1012m)

• [x] Miscellaneous: Hospitalisation, NCD & HIV 【no data found】

  • Hospitalisation, general observations

  • Hypertension treatment , blood pressure measure in the past or during the survey, for example check hm.dta/ind.dta/men.dta (generate a_bp_treat a_bp_sys a_bp_dial a_bp_meas a_hi_bp140 a_hi_bp140_or_on_med from ind.dta & men.dta by combining them)

  • Note from WB team for reference: "don't worry if you cannot find men.dta, not all surveys have it. if it is collected from ind.dta and men.dta seperately (some survey have female & male questionnarie, collecting these data seperately), you will need to combine these 2 dataset, generating these indicators and merge them back to hm.dta. If only from ind.dta or men.dta, i.e. only for female or male, don't generate these variables. If a new/survey-specific datafile occurs, it is highly likely that it contains info. for 13.do. "

  • Diabetes treatment/measure in the past (for example, a_diab_treat)

  • HIV, general observations

  • HIV questionnaire might exsit in Section 4 of "HEALTH ISSUES QUESTIONNAIRE". If they don't ask hiv test results, they are not helpful. but please document these observations.

• [x] Cross-validate statistics in survey report, if applicable.

• [x] Reference the NAME-SURVEY branch when your edits are finalised.

  • Refer to the github working branch created for [Name-SurveyName]

• [ ] Update micro data in Onedrive

• [ ] Examine Quality Checking Output Files

  • [ ] Successfully produced the indicators
  • [ ] Check if there's a flag that the indicator value produced is too off from the published data

[robin-wang]

Hi @a24680bjiang I see you are really picking up speed, that's a good sign of a great grasp of the survey structure and our objective. Much appreciated on your hard work!

I am assigning Bangladesh2017, also in the South Asia region. Hopefully there is synergy to be explored, with respect to Pakistan.