Development of a quality indicator set to measure and improve quality of ICU care in low- and middle-income countries

Jorge I. Salluh, Gastón Burghi, Rashan Haniffa, Nattachai Srisawat, Arjen M. Dondorp, Lam Minh Yen, Neill K. J. Adhikari, Ramani Moonesinghe, Arthur Kwizera, Nicolette F. de Keizer, Justine Davies, Raphael Kazidule Kayambankadzanja, Tim Baker, David Thomson, Madiha Hashmi, Jason Phua, Abi Beane, Bruce Biccard, David Pilcher, Mohd Basri Mat Nor, Diptesh Aryal, Dave A. Dongelmans, Fitsum Kifle Belachew, Vrindha Pari, Eva Fleur Sluijs, María del Pilar Arias López, Swagata Tripathy, Sutharshan Vengadasalam, Bharath Kumar Tirupakuzhi Vijayaraghavan, Luigi Pisani, Rebecca Inglis, Fred Bulamba, Rohit Aravindakshan Kooloth, Cornelius Sendagire, Wangari Waweru-Siika, Mohd Zulfakar Mazlan, Teddy Thaddeus Abonyo, Najwan Abu Al-Saud, Joseph Bonney, N. P. Dullewe, Mohammad Abul Faiz, Mg Ariel Fernandez, Moses Siaw-frimpong, Antonio Gallesio, Maryam Shamal Ghalib, Subekshya Luitel, Hem Raj Paneru, Dilanthi Priyadarshani, Mohiuddin Shaikh, Ashan Wijekoon
2022-09-16

SCID:  54.1/ynt3eaxy
PURPOSE: To develop a set of actionable quality indicators for critical care suitable for use in low- or middle-income countries (LMICs). METHODS: A list of 84 candidate indicators compiled from a previous literature review and stakeholder recommendations were categorised into three domains (foundation, process, and quality impact). An expert panel (EP) representing stakeholders from critical care and allied specialties in multiple low-, middle-, and high-income countries was convened. In rounds one and two of the Delphi exercise, the EP appraised (Likert scale 1-5) each indicator for validity, feasibility; in round three sensitivity to change, and reliability were additionally appraised. Potential barriers and facilitators to implementation of the quality indicators were also reported in this round. Median score and interquartile range (IQR) were used to determine consensus; indicators with consensus disagreement (median < 4, IQR ≤ 1) were removed, and indicators with consensus agreement (median ≥ 4, IQR ≤ 1) or no consensus were retained. In round four, indicators were prioritised based on their ability to impact cost of care to the provider and recipient, staff well-being, patient safety, and patient-centred outcomes. RESULTS: Seventy-one experts from 30 countries (n = 45, 63%, representing critical care) selected 57 indicators to assess quality of care in intensive care unit (ICU) in LMICs: 16 foundation, 27 process, and 14 quality impact indicators after round three. Round 4 resulted in 14 prioritised indicators. Fifty-seven respondents reported barriers and facilitators, of which electronic registry-embedded data collection was the biggest perceived facilitator to implementation (n = 54/57, 95%) Concerns over burden of data collection (n = 53/57, 93%) and variations in definition (n = 45/57, 79%) were perceived as the greatest barrier to implementation. CONCLUSION: This consensus exercise provides a common set of indicators to support benchmarking and quality improvement programs for critical care populations in LMICs.
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2022-09-16
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Jorge I. Salluh
Gastón Burghi
Rashan Haniffa
Nattachai Srisawat
Arjen M. Dondorp
Lam Minh Yen
Neill K. J. Adhikari
Ramani Moonesinghe
Arthur Kwizera
Nicolette F. de Keizer
Justine Davies
Raphael Kazidule Kayambankadzanja
Tim Baker
David Thomson
Madiha Hashmi
Jason Phua
Abi Beane
Bruce Biccard
David Pilcher
Mohd Basri Mat Nor
Diptesh Aryal
Dave A. Dongelmans
Fitsum Kifle Belachew
Vrindha Pari
Eva Fleur Sluijs
María del Pilar Arias López
Swagata Tripathy
Sutharshan Vengadasalam
Bharath Kumar Tirupakuzhi Vijayaraghavan
Luigi Pisani
Rebecca Inglis
Fred Bulamba
Rohit Aravindakshan Kooloth
Cornelius Sendagire
Wangari Waweru-Siika
Mohd Zulfakar Mazlan
Teddy Thaddeus Abonyo
Najwan Abu Al-Saud
Joseph Bonney
N. P. Dullewe
Mohammad Abul Faiz
Mg Ariel Fernandez
Moses Siaw-frimpong
Antonio Gallesio
Maryam Shamal Ghalib
Subekshya Luitel
Hem Raj Paneru
Dilanthi Priyadarshani
Mohiuddin Shaikh
Ashan Wijekoon
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