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Background <p>Since 2021, the Democratic Republic of the Congo has implemented a free maternity care policy. This policy is likely to increase the demand for maternal health services, potentially creating additional challenges in managing workload if it is not accompanied by an adequate health workforce. This study aimed to quantify the perceived workload of healthcare providers and identify associated factors within this specific policy context.</p> Methods <p>An analytical cross-sectional study was conducted among 129 healthcare professionals (midwives, birth attendants, and nurses) who were exhaustively recruited from 33 health facilities via convenience sampling. Workload was assessed via the National Aeronautics and Space Administration Task Load Index (NASA-TLX). Data were collected through face‒to-face administration of a structured questionnaire at the end of participants’ work shifts, in accordance with their daily rotation schedule. Descriptive and inferential statistical analyses were performed via Stata version 18. Appropriate descriptive and inferential statistical methods were applied. The level of statistical significance was set at <i>p</i> &lt; 0.05.</p> Results <p>The overall median workload score (raw-TLX) was 69.2 (IQR 7.5), indicating a high workload. The mean scores for each workload dimension were also high: mental demand, 67.9 ± 8.7; physical demand, 69.0 ± 10.6; temporal demand, 70.5 ± 8.5; performance, 68.9 ± 10.1; effort, 67.1 ± 8.6; and frustration, 67.1 ± 9.6. The Spearman correlations between the Raw-TLX dimensions and the overall score were statistically significant (<i>p</i> &lt; 0.001), with the highest coefficients observed for frustration and physical demand (ρ = 0.71), effort (ρ = 0.67), and performance (ρ = 0.61). Older age (≥ 60 years) was significantly associated with increased Raw-TLX scores (coefficients β = 0.235; <i>p</i> &lt; 0.001; standardized β = 0.526).</p> Conclusions <p>Healthcare providers experience a globally high workload in the context of free maternity care policy, which is largely explained by advanced age. Workforce rejuvenation could help mitigate the effects of age-related workload burden. Additionally, integrating the NASA-TLX tool into health workforce management policies could enable routine monitoring of staff workload and support timely responses to excessive workload.</p> Clinical trial number <p>Not applicable.</p>

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Perceived workload of healthcare providers delivering free maternal services: an analytical cross-sectional study based on the National Aeronautics and Space Administration Task Load Index (NASA-TLX) in primary health care facilities in Kananga, Democratic Republic of the Congo

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年7月29日

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  • Paulin Nkolamoyo Musungula,
  • David Pamutena Mashingu,
  • Jean-Claude Djulu Shamanga,
  • Angel Bapedi Ngalamulume,
  • Eric Mafuta Musalu

摘要

Background

Since 2021, the Democratic Republic of the Congo has implemented a free maternity care policy. This policy is likely to increase the demand for maternal health services, potentially creating additional challenges in managing workload if it is not accompanied by an adequate health workforce. This study aimed to quantify the perceived workload of healthcare providers and identify associated factors within this specific policy context.

Methods

An analytical cross-sectional study was conducted among 129 healthcare professionals (midwives, birth attendants, and nurses) who were exhaustively recruited from 33 health facilities via convenience sampling. Workload was assessed via the National Aeronautics and Space Administration Task Load Index (NASA-TLX). Data were collected through face‒to-face administration of a structured questionnaire at the end of participants’ work shifts, in accordance with their daily rotation schedule. Descriptive and inferential statistical analyses were performed via Stata version 18. Appropriate descriptive and inferential statistical methods were applied. The level of statistical significance was set at p < 0.05.

Results

The overall median workload score (raw-TLX) was 69.2 (IQR 7.5), indicating a high workload. The mean scores for each workload dimension were also high: mental demand, 67.9 ± 8.7; physical demand, 69.0 ± 10.6; temporal demand, 70.5 ± 8.5; performance, 68.9 ± 10.1; effort, 67.1 ± 8.6; and frustration, 67.1 ± 9.6. The Spearman correlations between the Raw-TLX dimensions and the overall score were statistically significant (p < 0.001), with the highest coefficients observed for frustration and physical demand (ρ = 0.71), effort (ρ = 0.67), and performance (ρ = 0.61). Older age (≥ 60 years) was significantly associated with increased Raw-TLX scores (coefficients β = 0.235; p < 0.001; standardized β = 0.526).

Conclusions

Healthcare providers experience a globally high workload in the context of free maternity care policy, which is largely explained by advanced age. Workforce rejuvenation could help mitigate the effects of age-related workload burden. Additionally, integrating the NASA-TLX tool into health workforce management policies could enable routine monitoring of staff workload and support timely responses to excessive workload.

Clinical trial number

Not applicable.