Publication activity
Articles grouped by publication year
Hover over a year or focus the chart and use arrow keys to inspect values.
2026 is year to date. 0 undated publications excluded.
Research across participating journals · All insights follow your collection filters.
Publication activity alongside incoming citations.
Articles grouped by publication year
Hover over a year or focus the chart and use arrow keys to inspect values.
2026 is year to date. 0 undated publications excluded.
OpenAlex · year of the citing work
Hover over a year or focus the chart and use arrow keys to inspect values.
2017–2026 annual-history window. 2026 is year to date. Unknown years have gaps.
Leading affiliations and themes in this collection.
Full distributions & methodology ↓Independent sources. Clear time scales.
Crossref and OpenAlex · separate totals for the same publication cohorts
Hover over a year or focus the chart and use arrow keys to inspect values.
Latest lifetime totals, grouped by the cited article’s year. These are not citations received in that year.
OpenAlex · incoming citation links grouped by citing-work year
Hover over a year or focus the chart and use arrow keys to inspect values.
2017–2026 annual-history window. 2026 is year to date. Unknown years have gaps.
Select journals to compare the same collection filters. Source totals stay separate. These measures describe research activity, not journal quality.
Articles by publication year
Latest lifetime totals · grouped by publication year
Latest lifetime totals · grouped by publication year
By year of the citing work · 2017–2026
2026 is year to date. Crossref and OpenAlex lifetime charts share a citation scale. Unknown observations appear as gaps; known zero stays zero. Annual receipts use available OpenAlex histories and may not sum to lifetime totals. 0 undated publications excluded from publication-year charts.
Crossref citation coverage: 5 / 5 publications (100.0%). Latest observation: 21 Oct 2026, 07:22 UTC. Means and percentages use records with known counts.
DOI-matched OpenAlex observations for the same selected publications. These counts are separate from Crossref and are never added together.
Observation range: 21 Oct 2026 07:23 UTC — 22 Oct 2026 18:24 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.
OpenAlex affiliations and primary-topic classification. Each publication counts once per institution or country; multi-affiliated publications appear in multiple groups, so percentages can sum above 100%. Countries describe author affiliations, not nationality. Topics use one primary topic per publication.
5 / 5 with data · 0 missing or unmatched. Percentages use all 5 selected publications.
5 / 5 with data · 0 missing or unmatched. Percentages use all 5 selected publications.
5 / 5 with data · 0 missing or unmatched. Percentages use all 5 selected publications.
Citations are the latest recorded totals for articles published in each year, not citations received during that year. Crossref and OpenAlex remain separate and share the same citation scale. 2026 is incomplete; newer articles have had less time to receive citations.
0 undated publications excluded. Unknown citation counts are shown as —, never as zero. Partial coverage can understate totals; expand each table for known / total records.
| Publication year | Journal / scope | Publications | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2025 | All selected publications | 5 | 5 | 5/5 | 5/5 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2025 | All selected publications | 2 | 5 | 5/5 | 5/5 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2025 | All selected publications | 2 | 5 | 5/5 | 5/5 |
Incoming citations to the selected publications, grouped by the year of the citing work. This is separate from lifetime citation totals grouped by the cited article’s publication year.
The publication filters above define which articles receive the citations. The citation-year range below only controls this chart and the incoming-citation comparison. Removing publication-year filters includes older articles’ incoming citations too.
Annual history available for 5 / 5 selected publications. Supported display window: 2017–2026; 2026 is incomplete. Within a successfully fetched ten-year window, omitted years mean zero. Missing histories and years beyond a saved observation’s window remain unknown (—); partial coverage can understate totals.
Annual-history observations (UTC): 2026-10-21T07:23:00.735412+00:00 — 2026-10-22T18:24:54.072558+00:00. Older observations may be retained after failed or incomplete refreshes.
| Citation year | Journal / scope | OpenAlex · Citations received by year | Publications | Annual history known |
|---|---|---|---|---|
| 2017 | All selected publications | 0 | 5 | 5/5 |
| 2018 | All selected publications | 0 | 5 | 5/5 |
| 2019 | All selected publications | 0 | 5 | 5/5 |
| 2020 | All selected publications | 0 | 5 | 5/5 |
| 2021 | All selected publications | 0 | 5 | 5/5 |
| 2022 | All selected publications | 0 | 5 | 5/5 |
| 2023 | All selected publications | 0 | 5 | 5/5 |
| 2024 | All selected publications | 0 | 5 | 5/5 |
| 2025 | All selected publications | 1 | 5 | 5/5 |
| 2026 | All selected publications | 1 | 5 | 5/5 |
Counts represent citation links, not unique citing papers across a journal: one paper citing two selected articles contributes two links. Older citations outside this window are excluded, so annual sums need not equal lifetime totals. OpenAlex methodology ↗
Publications by publication year. 2026 is an incomplete year.
| Period | Publications |
|---|---|
| 2025 | 5 |
Latest Crossref totals for the selected publications; not citations received in the selected years.
Unknown counts are excluded from the mean, median and cited-publication rate.
Same filters, source and counting rules across journals. Descriptive statistics, not a quality ranking.
| Journal / publisher | Publications | Crossref citations | OpenAlex citations | OpenAlex coverage | Crossref mean | Crossref median | Crossref cited %* | Crossref coverage |
|---|---|---|---|---|---|---|---|---|
| International Journal of Business Ecosystem & Strategy Bussecon International Academy | 1 | 0 | 0 | 1/1 | 0.0 | 0 | 0.0 | 1/1 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 4 | 2 | 2 | 4/4 | 0.5 | 0.5 | 50.0 | 4/4 · 100.0% |
* Percentage among publications with a known citation count.
South Africa’s journey toward universal health coverage through the proposed National Health Insurance (NHI) scheme reflects a deeply contested terrain of political, economic, and institutional interests. At the heart of the debate lies the struggle to transform an inequitable, dual-tiered healthcare system into a unified platform for equitable access. This article examines the political economy underpinning the NHI discourse by critically unpacking the roles, incentives, and power dynamics of key stakeholder groups, including government institutions, private healthcare providers, civil society, trade unions, political parties, and international actors. Using a political economy analysis framework, the study explores how stakeholder preferences and alignments shape the pace, design, and legitimacy of NHI reforms. It interrogates the conflicting narratives of equity and efficiency, state capacity versus market reliance, and centralized control versus decentralized delivery. Drawing on diverse reports, policy analyses, public submissions, and academic critiques, the research highlights how divergent ideological, financial, and institutional positions influence both policy content and public perception. Evidence from the research indicates that health reform in South Africa is not merely a technical endeavor but a deeply political process. Stakeholders engage in strategic behavior to either support, contest, or reshape the NHI, with implications for policy coherence, implementation feasibility, and constitutional alignment. The article concludes that sustainable health reform depends not only on sound policy design but also on transparent negotiation, inclusive dialogue, and adaptive political strategy. A nuanced understanding of stakeholder dynamics is therefore essential to realizing South Africa’s vision of health equity and universal coverage.
Universal Health Coverage (UHC) aims to ensure access to quality healthcare services without financial hardship. This study compares the UHC models in Indonesia, Malaysia, and Thailand to identify their strengths, challenges, and opportunities for improvement. Using a comparative literature analysis, the research highlights significant differences in funding mechanisms, population coverage, service efficiency, and policy implementation. Malaysia successfully leverages its high per capita income to provide universal healthcare through tax-funded services, while Thailand demonstrates efficient resource management with the "30 Baht" scheme, ensuring universal access despite its moderate-income level. Although Indonesia faces challenges due to its large population and low per capita income, it has made significant progress, covering 86% of its population since the launch of the National Health Insurance (JKN) program in 2014. Based on the findings, policy recommendations include enhancing financing mechanisms, improving service efficiency, and ensuring broader access to healthcare services in all regions. For Malaysia and Thailand, further exploring sustainable financing models and addressing disparities in healthcare quality can help ensure long-term UHC sustainability. For Indonesia, increasing compliance with premium payments, improving healthcare infrastructure, and addressing funding deficits are key to achieving more inclusive healthcare access. These recommendations offer valuable insights for improving UHC implementation strategies in diverse economic and demographic contexts.
Private health insurance is crucial for healthcare financing, but its uptake remains suboptimal, with many still relying on out-of-pocket expenses. Statistics indicate Kenya's informal sector comprises 83.3% of the population, with only 2% of employees having national hospital insurance and 20% having public health insurance. Therefore, this study investigated effect of strategic decision on uptake of private health insurance services, specifically, the study examined the effect of level of coverage, cost and affordability, network of health providers and quality of services on uptake of private health insurance services in Nairobi City County, Kenya. The study was anchored using the agency theory, dynamic capability theory and expected utility theory. The study embraced descriptive research design. The target population was sixteen private health insurance in Nairobi city county, Kenya. A sample size of eighty was utilized, employing census. Primary data was collected using a semi-structured questionnaire. The response rate was sixty eight percent. Level of coverage, cost and affordability, network of health providers and quality of services had a significant effect on uptake of private health insurance services. The study recommend, insurance providers should continue to offer diverse plans that cater to different needs and income brackets, ensuring that comprehensive coverage options remain accessible to a broad audience. Additionally, insurers should continue to develop and offer flexible payment plans that cater to different income levels. Introducing tiered pricing models, where customers can choose from a range of premium options based on their financial capacity, can make insurance more accessible. Moreover, the insurer should focus on maintaining a strong commitment to service quality and continually refining their offerings, which can build greater trust and satisfaction among customers, leading to increased adoption of private health insurance services.
This study aimed to examine the correlation between health-risk behaviour patterns, health lifestyle practices, and self-monitoring and care, in connection to the increasing costs of health insurance premiums. The research utilised a cross-sectional design and applied Linear Regression via SPSS software to analyse data collected from 385 public servants and college students in Mwanza, constituting 68.84% of the NHIF membership share. The analysis reveals that hazardous behaviours, including Alcohol Consumption (AC), Tobacco Use (TU), and Exposure to Harmful Chemicals (ETHC), are directly correlated with an increase in insurance costs. Nonetheless, the use of painkillers is unwarrantedly associated with the development of non-communicable diseases. Healthy lifestyle practices, including the consumption of processed foods (PFC), adherence to a balanced diet (UBD), and participation in physical activity (PA), are positively correlated with the likelihood of acquiring non-communicable diseases (NCD). In the near term, patients undergoing regular medical checks (MCP) exhibited elevated medical expenses. Ultimately, they decreased long-term medical costs by mitigating the likelihood of an individual developing non-communicable diseases (NCDs). The study emphasises policy recommendations aimed at reducing the likelihood of non-communicable disease (NCD) development and enhancing the financial stability of health insurance schemes in Tanzania. These include the creation of media and electronic campaigns to inform both members and non-members about effective strategies to prevent NCDs, the establishment of incentive packages to encourage members to cease or abandon risky behaviours, the provision of discounted premium pricing, the offering of mental health counselling and therapy programs, and the development or acquisition of health-related applications to modify member behaviour.
South Africa's National Health Insurance (NHI) initiative represents a profound policy shift aimed at achieving universal health coverage and reducing healthcare disparities. Central to this reform is the creation of a single, publicly funded healthcare system designed to integrate both public and private providers. This paper interrogates whether the NHI will disrupt private healthcare providers or enable synergistic partnerships that enhance national health outcomes. Drawing upon policy documents, legal evaluations, industry submissions, and expert analyses, the article explores the evolving interface between the public and private sectors under the NHI. Core thematic areas include regulatory realignment, financial restructuring, operational integration, legal implications, and collaborative opportunities. The findings reveal a dual trajectory: disruption manifests through constrained revenues, heightened administrative demands, and diminished autonomy, while opportunities emerge in the form of “contracting-in” models and integrated service delivery. The study concludes that the long-term impact of the NHI on private healthcare hinges on the coherence of policy design, the inclusivity of stakeholder engagement, and the resilience of institutional governance. A well-executed partnership framework can preserve the strengths of private healthcare while advancing equitable and efficient national health objectives.
South Africa's National Health Insurance (NHI) initiative represents a profound policy shift aimed at achieving universal health coverage and reducing healthcare disparities. Central to this reform is the creation of a single, publicly funded healthcare system designed to integrate both public and private providers. This paper interrogates whether the NHI will disrupt private healthcare providers or enable synergistic partnerships that enhance national health outcomes. Drawing upon policy documents, legal evaluations, industry submissions, and expert analyses, the article explores the evolving interface between the public and private sectors under the NHI. Core thematic areas include regulatory realignment, financial restructuring, operational integration, legal implications, and collaborative opportunities. The findings reveal a dual trajectory: disruption manifests through constrained revenues, heightened administrative demands, and diminished autonomy, while opportunities emerge in the form of “contracting-in” models and integrated service delivery. The study concludes that the long-term impact of the NHI on private healthcare hinges on the coherence of policy design, the inclusivity of stakeholder engagement, and the resilience of institutional governance. A well-executed partnership framework can preserve the strengths of private healthcare while advancing equitable and efficient national health objectives.
South Africa’s journey toward universal health coverage through the proposed National Health Insurance (NHI) scheme reflects a deeply contested terrain of political, economic, and institutional interests. At the heart of the debate lies the struggle to transform an inequitable, dual-tiered healthcare system into a unified platform for equitable access. This article examines the political economy underpinning the NHI discourse by critically unpacking the roles, incentives, and power dynamics of key stakeholder groups, including government institutions, private healthcare providers, civil society, trade unions, political parties, and international actors. Using a political economy analysis framework, the study explores how stakeholder preferences and alignments shape the pace, design, and legitimacy of NHI reforms. It interrogates the conflicting narratives of equity and efficiency, state capacity versus market reliance, and centralized control versus decentralized delivery. Drawing on diverse reports, policy analyses, public submissions, and academic critiques, the research highlights how divergent ideological, financial, and institutional positions influence both policy content and public perception. Evidence from the research indicates that health reform in South Africa is not merely a technical endeavor but a deeply political process. Stakeholders engage in strategic behavior to either support, contest, or reshape the NHI, with implications for policy coherence, implementation feasibility, and constitutional alignment. The article concludes that sustainable health reform depends not only on sound policy design but also on transparent negotiation, inclusive dialogue, and adaptive political strategy. A nuanced understanding of stakeholder dynamics is therefore essential to realizing South Africa’s vision of health equity and universal coverage.
Private health insurance is crucial for healthcare financing, but its uptake remains suboptimal, with many still relying on out-of-pocket expenses. Statistics indicate Kenya's informal sector comprises 83.3% of the population, with only 2% of employees having national hospital insurance and 20% having public health insurance. Therefore, this study investigated effect of strategic decision on uptake of private health insurance services, specifically, the study examined the effect of level of coverage, cost and affordability, network of health providers and quality of services on uptake of private health insurance services in Nairobi City County, Kenya. The study was anchored using the agency theory, dynamic capability theory and expected utility theory. The study embraced descriptive research design. The target population was sixteen private health insurance in Nairobi city county, Kenya. A sample size of eighty was utilized, employing census. Primary data was collected using a semi-structured questionnaire. The response rate was sixty eight percent. Level of coverage, cost and affordability, network of health providers and quality of services had a significant effect on uptake of private health insurance services. The study recommend, insurance providers should continue to offer diverse plans that cater to different needs and income brackets, ensuring that comprehensive coverage options remain accessible to a broad audience. Additionally, insurers should continue to develop and offer flexible payment plans that cater to different income levels. Introducing tiered pricing models, where customers can choose from a range of premium options based on their financial capacity, can make insurance more accessible. Moreover, the insurer should focus on maintaining a strong commitment to service quality and continually refining their offerings, which can build greater trust and satisfaction among customers, leading to increased adoption of private health insurance services.
Universal Health Coverage (UHC) aims to ensure access to quality healthcare services without financial hardship. This study compares the UHC models in Indonesia, Malaysia, and Thailand to identify their strengths, challenges, and opportunities for improvement. Using a comparative literature analysis, the research highlights significant differences in funding mechanisms, population coverage, service efficiency, and policy implementation. Malaysia successfully leverages its high per capita income to provide universal healthcare through tax-funded services, while Thailand demonstrates efficient resource management with the "30 Baht" scheme, ensuring universal access despite its moderate-income level. Although Indonesia faces challenges due to its large population and low per capita income, it has made significant progress, covering 86% of its population since the launch of the National Health Insurance (JKN) program in 2014. Based on the findings, policy recommendations include enhancing financing mechanisms, improving service efficiency, and ensuring broader access to healthcare services in all regions. For Malaysia and Thailand, further exploring sustainable financing models and addressing disparities in healthcare quality can help ensure long-term UHC sustainability. For Indonesia, increasing compliance with premium payments, improving healthcare infrastructure, and addressing funding deficits are key to achieving more inclusive healthcare access. These recommendations offer valuable insights for improving UHC implementation strategies in diverse economic and demographic contexts.
This study aimed to examine the correlation between health-risk behaviour patterns, health lifestyle practices, and self-monitoring and care, in connection to the increasing costs of health insurance premiums. The research utilised a cross-sectional design and applied Linear Regression via SPSS software to analyse data collected from 385 public servants and college students in Mwanza, constituting 68.84% of the NHIF membership share. The analysis reveals that hazardous behaviours, including Alcohol Consumption (AC), Tobacco Use (TU), and Exposure to Harmful Chemicals (ETHC), are directly correlated with an increase in insurance costs. Nonetheless, the use of painkillers is unwarrantedly associated with the development of non-communicable diseases. Healthy lifestyle practices, including the consumption of processed foods (PFC), adherence to a balanced diet (UBD), and participation in physical activity (PA), are positively correlated with the likelihood of acquiring non-communicable diseases (NCD). In the near term, patients undergoing regular medical checks (MCP) exhibited elevated medical expenses. Ultimately, they decreased long-term medical costs by mitigating the likelihood of an individual developing non-communicable diseases (NCDs). The study emphasises policy recommendations aimed at reducing the likelihood of non-communicable disease (NCD) development and enhancing the financial stability of health insurance schemes in Tanzania. These include the creation of media and electronic campaigns to inform both members and non-members about effective strategies to prevent NCDs, the establishment of incentive packages to encourage members to cease or abandon risky behaviours, the provision of discounted premium pricing, the offering of mental health counselling and therapy programs, and the development or acquisition of health-related applications to modify member behaviour.
Source coverage refers to this result set; a publication may occur in several sources. Sync times refer to contributing journals.
Missing abstracts: 0 · Missing authors: 0 · Missing publication dates: 0 · Dates without day precision: 0
| Source | Most recent successful journal sync | Latest attempt |
|---|---|---|
| crossref | 21 Oct 2026 07:22 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |
| ojs-rest | 21 Oct 2026 07:22 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 06:46 UTC |
| oai-pmh | 20 Oct 2026 19:55 UTC · ijrbs | complete · ijrbs · 20 Oct 2026 19:50 UTC |
| openalex-enrichment | 21 Oct 2026 07:23 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |