# Adoption of McKinsey 7s Model in Development of Strategies to Enhance the Utilisation of Digital Health in Early Detection and Treatment of Pre‐Eclampsia by Gravid Women at the Rural Context: Mixed‐Method Study

## TL;DR

This study uses the McKinsey 7s model to develop strategies for improving digital health use in detecting and treating pre-eclampsia among pregnant women in rural South Africa.

## Contribution

The study introduces a novel application of the McKinsey 7s model to digital health adoption in rural maternal care.

## Key findings

- Six evidence-based strategies were developed to improve digital health adoption in pre-eclampsia care.
- The strategies focus on knowledge improvement, training, and validation of digital health tools.
- Integration of digital health with traditional clinical practice may enhance care quality for pregnant women.

## Abstract

To develop evidence‐based strategies to enhance digital health use in the early detection and treatment of pre‐eclampsia by pregnant women in primary healthcare facilities in a South African context.

The mixed convergent parallel design was used for the main study. The quantitative and qualitative data analysed served as the basis for this study.

The McKinsey 7s model was used to guide the development of evidence‐based strategies to enhance the utilisation of digital health in early detection and treatment of pre‐eclampsia by gravid women within a mixed convergent parallel research design.

Six evidence‐based strategies were developed. The strategies focused on improving knowledge, training and professional development, awareness and validation of digital health.

Although the study focused in the primary healthcare facilities in Mpumalanga province, the evidence‐based strategies developed promote the breaking of the status quo in current practice. Integration of traditional clinical practice and digital health practice could possibly improve the quality of care received by gravid women and most likely, improve the knowledge of the gravid women with regard to their conditions. Furthermore, their implementation could possibly improve the proper practicing and implementation of digital health in clinical practice.