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Record W2561909666 · doi:10.5339/qfarc.2016.hbpp2358

Shedding Light on the Roots of Dissatisfaction with Health Care Services in the State of Qatar: An Exploratory Study

2016· article· en· W2561909666 on OpenAlex
Catherine Nasrallah, Yara Qutteina, Salma M. Khaled

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueQatar Foundation Annual Research Conference Proceedings Volume 2016 Issue 1 · 2016
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealthcare Policy and Management
Canadian institutionsnot available
Fundersnot available
KeywordsHealth careContext (archaeology)MedicinePublic healthPopulationNursingInterviewFamily medicineGerontologyEnvironmental healthGeography

Abstract

fetched live from OpenAlex

Introduction Dissatisfaction with health care performance is an important source of information about health care reforms as perceived by the public as it is associated with negative beliefs about health system. Previous studies have shown that dissatisfaction with health care has a long-term negative impact on the health care users' relationship with healthcare providers, health related behaviors, and health outcomes. In addition, a recent study conducted in Qatar, showed that approximately 24% of the studied population who used health care in the past 12 months prior to the study were dissatisfied with health care services provided in the country. Given that dissatisfaction with care can negatively impact on help-seeking behaviors, this finding could have grave public health implications. This has been witnessed in the context of high prevalence of chronic health conditions in Qatar where long-term relations with healthcare professionals are necessary for better chronic disease management, reduced disease-related complications, and mortality. This study aims to identify the sources of dissatisfaction with medical care among adults, Qataris and white collar migrants aged eighteen years or older. Methods This study is based on secondary data from a larger national survey, which was conducted during the fall of 2012 for the purpose of collecting household-based information on health services utilization and health-related expenditures. Disproportionate stratified probability sampling was employed to select a representative sample of households. A final sample of 3,080 completed face-to-face interviews (1,528 Qataris and 1,552 White Collar Migrants) using computer assisted personal interviewing (CAPI) method for a raw response rate of 78.1%. The sample included individuals who may or may not have used Qatar's health care system during the 12 months prior to survey administration. Respondents were asked to discuss the reasons for their discontent with healthcare services in Qatar by selecting pre-coded categories of dissatisfaction including: Waiting time to see the provider, language used to communicate, clarity of how things are explained to the patient, poor services provided (such as cleanliness, reception, respect, and parking), inability to choose provider or doctor, high costs and other reasons to be specified by respondents. A total of 711 open-ended responses to the “Other” category were translated, coded and analyzed qualitatively. “Crowdedness”, “staff and physicians' incompetence”, “medical errors”, “discrimination”, “disrespect”, and “lack of staff and services” are all themes that emerged as reasons for dissatisfaction. Analysis Arabic responses were translated into English and researchers discussed any dissimilar results until an agreement was reached on all translated responses. Upon reviewing the responses, themes, which were different from the pre-specified answer choices of the questionnaire, emerged. The researchers then coded the responses by assigning codes to each response, then compared against each other. Coding discrepancy was discussed until an agreement was reached. The codes of the open-ended responses were later merged with those of the pre-specified categories and the corresponding frequency for each coding category was calculated using STATA. The Alberta Quality Matrix for Health was used to guide the analysis of the themes based on the six dimensions of health system quality. Results The analysis of the open-ended responses that probed into reasons for respondents' dissatisfaction revealed thirteen categories of dissatisfaction that were related to four different dimensions of quality of healthcare, based on the Alberta Quality Matrix for Health. The most common dimension of dissatisfaction with health care in Qatar was accessibility, which refers to the provision of health service in the most optimum setting and within “reasonable time and distance”. Safety was the second most common dimension reported by the respondents. This construct relates to minimizing any threats that could cause harm. Acceptability, such as the provision of respectful and patient-centered health services was the third dimension identified, followed by efficiency, which is mainly related to the optimal use of resources, to achieve the best desired health outcomes. Conclusion Identifying the roots of dissatisfaction with health care services among distinct social groups can be achieved by analyzing responses to simple open-ended questions in routinely administered population health surveys. This is important for monitoring the quality of care in heterogeneous population contexts as well as engaging the public in the process of developing a world-class health care system as per Qatar's national vision of 2030. This research highlights priority needs to be addressed by the Qatari government in order to increase health care satisfaction as part of the quest for better health care in the country.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.201
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.076
GPT teacher head0.361
Teacher spread0.285 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it