Subtopic Deep Dive

National Health Insurance Patient Satisfaction
Research Guide

What is National Health Insurance Patient Satisfaction?

National Health Insurance Patient Satisfaction examines patient experiences and satisfaction levels within national health insurance systems like Ghana's NHIS or Indonesia's JKN, focusing on service quality, access barriers, and policy impacts.

Studies compare satisfaction across public hospitals under national insurance schemes in emerging economies. Common methods include SERVQUAL surveys and regression analysis of factors like staff attitudes and facility environment. Over 20 papers from 2011-2021 analyze systems in Ghana, Indonesia, Pakistan, Kenya, and China, with Alrubaiee et al. (2011) cited 258 times.

15
Curated Papers
3
Key Challenges

Why It Matters

Findings from Amporfro et al. (2021) on Ghana's NHIS reveal low satisfaction due to long waits, informing coverage expansions. Hussain et al. (2019) in Pakistan public hospitals identify staff behavior as key to retention, guiding training reforms. Probandari et al. (2017) highlight postnatal care barriers in Indonesia's JKN, supporting village-level service designs for equitable access.

Key Research Challenges

Measuring True Satisfaction

SERVQUAL instruments often overlook cultural biases in national insurance contexts (Lu et al., 2020). Self-reported data inflates satisfaction scores, complicating policy evaluations. Validating metrics across diverse populations remains inconsistent.

Addressing Coverage Gaps

Postnatal and OPD services under NHIS show persistent barriers like distance and costs (Probandari et al., 2017; Hussain et al., 2019). Reforms via interrupted time series are understudied. Benefit design inadequacies reduce utilization in rural areas.

Linking Satisfaction to Outcomes

Mediating roles of satisfaction in trust and loyalty need longitudinal tracking (Alrubaiee et al., 2011). Few studies connect satisfaction to health outcomes like readmissions. Public hospital data scarcity hinders causal inferences.

Essential Papers

1.

The Mediating Effect of Patient Satisfaction in the Patients' Perceptions of Healthcare Quality – Patient Trust Relationship

Laith Alrubaiee, Feras Alkaa'ida · 2011 · International Journal of Marketing Studies · 258 citations

The main purpose of this study is to investigate the relationship between patient perception of healthcare quality,patient satisfaction, and patient trust and the mediating effect of patient satisf...

2.

Barriers to utilization of postnatal care at village level in Klaten district, central Java Province, Indonesia

Ari Probandari, Akhda Arcita, Kothijah Kothijah et al. · 2017 · BMC Health Services Research · 90 citations

Despite the government's efforts to provide free postnatal care closer to mothers' homes, other barriers to postnatal care utilization remained. Specifically, among mothers, community, and health s...

3.

What Factors Affect Patient Satisfaction in Public Sector Hospitals: Evidence from an Emerging Economy

Abid Hussain, Muhammad Safdar Sial, Sardar Muhammad Usman et al. · 2019 · International Journal of Environmental Research and Public Health · 79 citations

Patient satisfaction can identify specific areas of improvement in public sector hospitals. However, the Pakistani healthcare system, and quality of service delivery is rarely assessed through the ...

4.

Patients satisfaction with healthcare delivery in Ghana

Daniel Adjei Amporfro, Michael Boah, Yingqi Shao et al. · 2021 · BMC Health Services Research · 75 citations

6.

Factors influencing inpatients’ satisfaction with hospitalization service in public hospitals in Shanghai, People’s Republic of China

Lulu Zhang, Haiping Chen, Meina Li et al. · 2016 · Patient Preference and Adherence · 48 citations

This study emphasizes the influence of sex of the patients, the service attitudes of the doctors and nurses, and expenditure and environment on inpatient satisfaction. An increase in satisfaction r...

7.

Satisfaction with Delivery Services Offered under the Free Maternal Healthcare Policy in Kenyan Public Health Facilities

C. M. Gitobu, Peter Gichangi, Walter Mwanda · 2018 · Journal of Environmental and Public Health · 48 citations

Background . Patients’ satisfaction is an individual's positive assessment regarding a distinct dimension of healthcare and the perception about the quality of services offered in that health facil...

Reading Guide

Foundational Papers

Start with Alrubaiee et al. (2011, 258 citations) for satisfaction's mediating role in trust; Ambelie (2014) for Ethiopian private wings under insurance, establishing core metrics.

Recent Advances

Amporfro et al. (2021) on Ghana NHIS; Hussain et al. (2019) on Pakistani public hospitals; Lu et al. (2020) SERVQUAL in Taiwan for methodological advances.

Core Methods

SERVQUAL for gap analysis (Lu et al., 2020); multiple regression for factors (Hussain et al., 2019); importance-performance analysis for priorities (Zhang et al., 2016).

How PapersFlow Helps You Research National Health Insurance Patient Satisfaction

Discover & Search

Research Agent uses searchPapers on 'NHIS Ghana patient satisfaction' to retrieve Amporfro et al. (2021), then citationGraph maps 75 citing papers on African insurance reforms, and findSimilarPapers uncovers parallel JKN studies like Probandari et al. (2017). exaSearch drills into policy evaluations across 250M+ OpenAlex papers.

Analyze & Verify

Analysis Agent applies readPaperContent to extract SERVQUAL gaps from Lu et al. (2020), verifies claims with CoVe against 10 similar studies, and runPythonAnalysis performs regression on satisfaction datasets from Hussain et al. (2019) using pandas for factor significance. GRADE grading scores evidence quality for meta-reviews.

Synthesize & Write

Synthesis Agent detects gaps in postnatal care coverage from Probandari et al. (2017) and Gitobu et al. (2018), flags contradictions in trust mediation (Alrubaiee et al., 2011). Writing Agent uses latexEditText for policy briefs, latexSyncCitations integrates 20 references, latexCompile generates PDFs, and exportMermaid diagrams satisfaction pathways.

Use Cases

"Run regression on patient satisfaction factors from Ghana NHIS papers"

Research Agent → searchPapers → Analysis Agent → runPythonAnalysis (pandas regression on Amporfro et al. 2021 dataset) → matplotlib satisfaction factor plot.

"Draft LaTeX review on JKN barriers to postnatal care satisfaction"

Research Agent → exaSearch → Synthesis Agent → gap detection → Writing Agent → latexEditText + latexSyncCitations (Probandari et al. 2017) → latexCompile → PDF report.

"Find code for SERVQUAL analysis in national insurance studies"

Research Agent → paperExtractUrls (Lu et al. 2020) → paperFindGithubRepo → githubRepoInspect → runPythonAnalysis on SERVQUAL scripts → customized RAG pipeline.

Automated Workflows

Deep Research workflow scans 50+ papers on NHIS/JKN satisfaction via searchPapers → citationGraph → GRADE grading → structured report with meta-analysis. DeepScan's 7-step chain verifies barriers in Probandari et al. (2017) with CoVe checkpoints and Python stats. Theorizer generates policy theories from Alrubaiee et al. (2011) mediation models.

Frequently Asked Questions

What defines National Health Insurance Patient Satisfaction?

It measures patient experiences in systems like Ghana's NHIS or Indonesia's JKN using SERVQUAL and regression on factors like access and staff attitudes (Amporfro et al., 2021).

What methods assess satisfaction in these systems?

SERVQUAL surveys quantify gaps (Lu et al., 2020), while regressions link demographics and service to scores (Hussain et al., 2019). Interrupted time series evaluate reforms.

What are key papers?

Alrubaiee et al. (2011, 258 citations) on satisfaction-trust mediation; Amporfro et al. (2021, 75 citations) on Ghana NHIS; Probandari et al. (2017, 90 citations) on Indonesian barriers.

What open problems exist?

Longitudinal links to health outcomes, rural coverage gaps, and culturally validated metrics remain unsolved (Gitobu et al., 2018; Zhang et al., 2016).

Research Healthcare Quality and Satisfaction with AI

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