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Table 3 Comparison of dominant categorizations of responsiveness in the literature

From: Health system responsiveness: a systematic evidence mapping review of the global literature

 

Categorization 1: ‘Unidirectional user-service interface’

Categorization 2: ‘Service feedback between users and health system’

Categorization 3: ‘Accountability’

Responsive to whom?

Users/patients who have accessed health services

Various users (patients, patient representatives, intermediaries, those seeking access)

All: ‘citizens’, community, community representatives, patient advocates, civil society, the public, population

How is health system responsiveness understood?

As a quality checking and service improvement indicator

Responsiveness assessments on particular building blocks

Processes to obtain feedback from users and respond to the feedback at a service level – placing user experiences as central to responsiveness

A responsive health system is a product of an accountable service and system

Focus on formal (and sometimes informal) mechanisms to enhance accountabilty

Setting of focus and flow of feedback and responsive

In facility, at point of exit measured at the level of the individual, ussually uniderectional

Inside or outside or facility (before, during, after care)

Various, usually peripheral to the service (‘outside’ the facility)

Representation in the literature

25% (155/621)

Decade most published: 2011-2020

Geographic spread: mostly LMICs (76/155), HICs (26/155)

Empirical/Conceptual: mostly empirical (124/155)

40% (251/621)

Decade most published: 2011-2020

Geographic spread: mostly HICs (118/251), LMICs (83/251)

Empirical/Conceptual: Mostly empirical (179/251)

32% (196/621)

Decade most published: 2011-2020

Geographic spread: mostly LMIC (89/196), HIC (53/196)

Empirical/Conceptual: Mostly empirical (116/196)

Exemplar study from this category

Bramesfeld et al. provide an empirical measurement of the overall responsiveness of mental health services in Germany, comparing in and out-patients, using the WHO tool. Service responsiveness was assessed quantitively against 9 domains (attention, dignity, clear communication, autonomy, confidentiality, basic amenities, choice of provider, access to social support – and continuity) [59].

Serapioni and Duxbury showcase Mixed Advisory Committees (MAC) as a channel for obtaining, analysing and responding to the public within the Italian health care system. The advisory committtees included public and system actors. The MAC was a deliberative and participatory public consultation approach aimed at monitoring and assessing health-care quality from users’ perspectives [60]

Andrews et al. describe a participatory collaboration to design a web-based data collection and monitoring plan for health councils to use in New Mexico. The plan was co-developed (by users and systems actors) as a mechanism for accountability. Joint evaluations were conducted to outline processes and systems-level outcomes for county council development, planning, and community action [61].