Health systems' responsiveness and reporting behaviour: Multilevel analysis of the influence of individual-level factors in 64 countries

Valentine, Nicole; Verdes-Tennant, Emese; Bonsel, Gouke J.

doi:10.1016/j.socscimed.2015.04.022

Cited by 40 publications

(27 citation statements)

References 27 publications

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“…Another limitation is the use of the European population structure for age standardization, which might not be fully justified for the non-European countries, especially for China, where the population structure is quite different. Finally, influences due to reporting behavior heterogeneity, such as education, might also impact variability between self-reported health problems [33].…”

Section: Discussionmentioning

confidence: 99%

“…Standardization for age was performed to avoid bias due to the fact that some populations have a relatively higher proportion of elderly people. Age standardization of reported problems by dimension and EQ VAS were based on the European population structure using Eurostat data from 2010 [26], using the following proportions for each age group: 11% (18-24), 17% (25)(26)(27)(28)(29)(30)(31)(32)(33)(34), 18% (35-44), 18% (45-54), 15% (55-64), 11% (65-74), and 10% (75 +).…”

Section: Cross-country Analysismentioning

confidence: 99%

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Population norms for the EQ-5D-3L: a cross-country analysis of population surveys for 20 countries

et al. 2018

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This study provides EQ-5D population norms for 20 countries (N = 163,838), which can be used to compare profiles for patients with specific conditions with data for the average person in the general population in a similar age and/or gender group. Descriptive EQ-5D data are provided for the total population, by gender and by seven age groups. Provided index values are based on European VAS for all countries, based on TTO for 11 countries and based on VAS for 10 countries. Important differences exist in EQ-5D reported health status across countries after standardizing for population structure. Self-reported health according to all five dimensions and EQ VAS generally decreased with increasing age and was lower for females. Mean self-rated EQ VAS scores varied from 70.4 to 83.3 in the total population by country. The prior living standards (GDP per capita) in the countries studied are correlated most with the EQ VAS scores (0.58), while unemployment appeared to be significantly correlated in people over the age of 45 only. A country's expenditure on health care correlated moderately with higher ratings on the EQ VAS (0.55). EQ-5D norms can be used as reference data to assess the burden of disease of patients with specific conditions. Such information, in turn, can inform policy-making and assist in setting priorities in health care. KeywordsHealth state values · EQ-5D · Population norms · Health-related quality of life JEL Classification I10 · I30 · J11 · H51

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Section: Discussionmentioning

confidence: 99%

Section: Cross-country Analysismentioning

confidence: 99%

Population norms for the EQ-5D-3L: a cross-country analysis of population surveys for 20 countries

et al. 2018

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“…Being consumers of the services with dissimilar biopsychosocial backgrounds, the clients present with different service demands and expectations that need to be attended to adequately and rightfully [5, 8]. Unmet expectations can be problematic, with dissatisfaction derailing client’s confidence in the care provider and the system [11–13]. As a result, incongruences in the clients’ expectations and performances need to be identified and monitored on an ongoing basis, and should be dealt carefully and as a priority.…”

Section: Introductionmentioning

confidence: 99%

“…However, many health systems have not extended its application to the healthcare delivery level. The HSR domains are important indicators of the performance of health systems, how people-centered the healthcare is and to what extent the legitimate expectations of the clients are being met [5, 8, 11]. Studies show that the higher the HSR, the greater the chances of treatment successes, meeting the clients’ expectations and contentment with the services will be [10–13].…”

Section: Introductionmentioning

confidence: 99%

Measuring health system responsiveness at facility level in Ethiopia: performance, correlates and implications

Yakob

Ncama

2017

BMC Health Serv Res

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BackgroundHealth system responsiveness measures (HSR) the non-health aspect of care relating to the environment and the way healthcare is provided to clients. The study measured the HSR performance and correlates of HIV/AIDS treatment and care services in the Wolaita Zone of Ethiopia.MethodsA cross-sectional survey across seven responsiveness domains (attention, autonomy, amenities of care, choice, communication, confidentiality and respect) was conducted on 492 people using pre-ART and ART care. The Likert scale categories were allocated percentages for analysis, being classified as unacceptable (Fail) and acceptable (Good and Very Good) performance.ResultsOf the 452 (91.9%) participants, 205 (45.4%) and 247 (54.6%) were from health centers and a hospital respectively. 375 (83.0%) and 77 (17.0%) were on ART and pre-ART care respectively. A range of response classifications was reported for each domain, with Fail performance being higher for choice (48.4%), attention (45.5%) and autonomy (22.7%) domains. Communication (64.2%), amenities (61.4%), attention (51.4%) and confidentiality (50.1%) domains had higher scores in the ‘Good’ performance category. On the other hand, ‘only respect (54.0%) domain had higher score in the ‘Very Good’ performance category while attention (3.1%), amenities (4.7%) and choice (12.4%) domains had very low scores. Respect (5.1%), confidentiality (7.6%) and communication (14.7%) showed low proportion in the Fail performance. 10.4 and 6.9% of the responsiveness percent score (RPS) were in ‘Fail’ and Very Good categories respectively while the rest (82.7%) were in Good performance category. In the multivariate analysis, a unit increase in the perceived quality of care, satisfaction with the services and financial fairness scores respectively resulted in 0.27% (p < 0.001), 0.48% (p < 0.001) and 0.48% (p < 0.001) increase in the RPS. On the contrary, visiting traditional medicine practitioner before formal HIV care was associated with 2.1% decrease in the RPS.ConclusionThe health facilities performed low on the autonomy, choice, attention and amenities domains while the overall RPS masked the weaknesses and strengths and showed an overall good performance. The domain specific responsiveness scores are better ways of measuring responsiveness. Improving quality of care, client satisfaction and financial fairness will be important interventions to improve responsiveness performance.Electronic supplementary materialThe online version of this article (doi:10.1186/s12913-017-2224-1) contains supplementary material, which is available to authorized users.

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“…These results are contrary to the findings of Bazzaz et al (4) and Sajjadi et al (6). This discrepancy could result from differences in the expectations of populations studied (7).…”

Section: Discussionmentioning

confidence: 94%

The Iranian Health System Responsiveness after Implementation of Health Transformation Plan: A Study of Jahrom County in Southern Iran

et al. 2018

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Background: Healthcare systems have an intrinsic responsibility to meet medial and non-medical expectations of people. Objectives: The aim of this study was to investigate the Iranian health system responsiveness in the city of Jahrom. Methods: This study comprised of 600 patients from 6 health centers in Jahrom County. Data were gathered via a standard selfreport questionnaire. Logistic regression analysis was used to evaluate data.

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Health systems' responsiveness and reporting behaviour: Multilevel analysis of the influence of individual-level factors in 64 countries

Cited by 40 publications

References 27 publications

Population norms for the EQ-5D-3L: a cross-country analysis of population surveys for 20 countries

Population norms for the EQ-5D-3L: a cross-country analysis of population surveys for 20 countries

Measuring health system responsiveness at facility level in Ethiopia: performance, correlates and implications

The Iranian Health System Responsiveness after Implementation of Health Transformation Plan: A Study of Jahrom County in Southern Iran

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