<p>CFIR Construct Mapping for Qualitative Coding.</p>

Mastewal Worku Lake published a dataset on 2026-04-30 containing qualitative coding data mapped to the Consolidated Framework for Implementation Research (CFIR). The data supports a mixed-methods study assessing fidelity to malaria test-and-treat guidelines in 53 public and private health facilities in Ethiopia's Amhara Region from February to March 2025. The dataset is 9.5 KB in size and available in XLS format.

Use Cases

• Training qualitative coding models based on CFIR constructs mentioned in the description.
• Analyzing factors associated with implementation fidelity based on provider responsiveness and intervention complexity scores.
• Comparing implementation challenges between public and private health facilities as described in the study results.

Strengths

• Dataset is based on a structured study involving 53 health facilities (38 public, 15 private).
• Includes quantitative fidelity scores standardized to 0–100 and qualitative interview data from 32 in-depth interviews.
• Published under a permissive CC-BY-4.0 license for open reuse.

Limitations

• Row count and column-level documentation are unknown, which may limit suitability assessment.
• The dataset is very small at 9.5 KB, indicating limited scope or a highly focused subset of the study data.
• Description metadata is limited; actual data structure and field semantics must be inferred after download.

Provenance

Source

Mastewal Worku Lake via figshare.

Collection Method

Data was gathered through a convergent parallel mixed-methods study involving facility register extraction, provider interviews, and in-depth interviews.

Time Range

Data collection occurred from February to March 2025.

Freshness

Last updated 2026-04-30 17:42:02; freshness should be verified.

Geography

Health facilities in the Amhara Region of Ethiopia.