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How to Verify Community Health Worker Visits and Protect Your Performance-Based Funding

Who this is for

You manage a CHW network funded under a performance-based financing mechanism — meaning your disbursements are tied directly to verified visit counts. Right now your verification process is spot-checks covering maybe 10% of claims. A funder has queried visit data before. A clawback happened, or nearly happened. You know the current approach isn't defensible at scale.

The problem

Spot-checking 10% of CHW visit claims isn't a verification methodology — it's a sampling approach that, by design, can't tell you anything with confidence about the other 90%. When a funder starts asking hard questions about visit validity, "we sample 10% and extrapolate" is not the answer they're looking for. PBF funders increasingly expect evidence for every visit, not a statistical confidence interval. The incentive problem is predictable and well-documented: a CHW paid per verified visit, with supervisors present for maybe one visit in ten, is operating in a system with insufficient controls for the financial incentive it creates. This isn't a character judgment. It's a structural reality. The solution isn't deploying more supervisors — the geography usually makes that impossible. The solution is evidence captured at the point of the visit itself, before the claim is submitted.

What you can achieve

  • Every household visit is backed by mandatory photo evidence, GPS coordinates, and structured visit notes — captured at the location, at the time of the visit
  • PBF payment claims are supported by a complete, exportable record for every single visit — not a spot-check sample with a statistical adjustment
  • Funders who've questioned visit validity before get unambiguous evidence to review at payment verification — photos, GPS, timestamps, per-CHW
  • CHWs who record visits that didn't happen create visible gaps: GPS inconsistencies, missing on-site photos, anomalous submission times — all flaggable before the payment cycle
  • Monthly audit exports for PBF payment cycles come directly out of Hakiki, not from a manual compilation exercise across paper registers
  • Supervisor review shifts from paperwork checking to evidence-based sampling — focused on the records that show anomalies, not a random 10%

The workflow in Hakiki

  1. 1
    Client Name & Household IDText

    Enter client full name and household registration ID from the program register

  2. 2
    Visit TypeOne choice

    Select: ANC / Postnatal / Child Growth Monitoring / General Health / Nutrition / Referral Follow-up

  3. 3
    Client Photo at HouseholdFile upload

    Photo of CHW with client at the household — taken at the time of the visit. MANDATORY

  4. 4
    Nutritional Screening CompletedYes or no

    Confirm MUAC screening or nutritional assessment was completed during this visit

  5. 5
    Referral IssuedYes or no

    Record whether a referral to a health facility was issued during this visit

  6. 6
    Referral Letter UploadFile upload

    Upload photo of issued referral letter — required if previous step is YES

  7. 7
    Household Exterior PhotoFile upload

    Photo of the household exterior — corroborates GPS location and confirms physical presence

  8. 8
    GPS LocationText

    Paste GPS coordinates from phone at the time of the visit — timestamped and cross-referenced with photo

Hakiki features used

Text entrySingle select visit typeMandatory photo evidenceConditional file uploadGPS captureSupervisor review per CHWMonthly audit export

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