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Factors and Determinants Influencing Maternal Mortality in Rural Uganda

Factors and Determinants Influencing Maternal Mortality in Rural Uganda and Prospects for Sustainability: A Literature Review

  1. Introduction

Countries worldwide are working towards providing safe antenatal care to pregnant mothers to achieve Sustainable Development Goal (SDG) 3.1, aiming to reduce the maternal mortality ratio to 70 deaths per 100,000 live births (Khalil et al., 2023).

Uganda faces one of the highest maternal mortality rates worldwide as a result of multiple factors and determinants.  This review consolidated some of the factors and determinants driving these high mortality rates to contribute towards alleviating the situation. The review found that maternal mortality rates are particularly elevated in rural areas due to insufficient government policies that control the socio-economic variables on which expectant mothers depend to access healthcare. Based on the review, the paper proposes interventions to help reduce rural maternal mortality rates, underscoring the importance of governmental policy reforms and behavioral change among pregnant women as part of this process. Implementing the interventions will likely lower mortality rates in rural Uganda. However, this would only be possible through the collaborative effort of multiple stakeholders to enhance maternal healthcare outcomes.

Keywords: Maternal determinants, factors, Healthcare, Mortality

Research question: What are the factors and individual determinants influencing access to maternal healthcare services in Rural Uganda? How can these factors and determinants be improved to reduce access and reduce maternal mortality rates in rural Uganda?

Author: Robinah Namulindwa

Co Author: Chris Byaruhhanga

The Impact of Labour Changes on Project Management Deliverables in the Healthcare and Social Care Sectors

The Impact of Labour Changes on Project Management Deliverables in the Healthcare and Social Care Sectors

Annotation

This research examines the impact of fluctuations in the employment market on project management in the healthcare and social care industries.

This research examines the impact of fluctuations in the employment market on project management in the healthcare and social care industries. The study analyses the possible ramifications of these alterations on forthcoming results and provides crucial perspectives for Project Managers (PM) and stakeholders.

Effect LinkedIn Automation: An Analysis of LinkedIn Marketing Automation with use of low- and no-code tools

Effect LinkedIn Automation: An Analysis of LinkedIn Marketing Automation with use of low- and no-code tools

Author: Alderd J. Froolik, LIGS University, Honolulu, Hawaï, USA
Supervisor: Dr. Roberto A. Llauro, Adjunct Professor of LIGS University

Author Note
Alderd J. Froolik
https://orcid.org/0009-0009-1736-7232
Correspondence concerning this article should be addressed to Alderd J. Froolik, LIGS University, p/a Zwanebloem 47, 2408LT Alphen aan den Rijn, The Netherlands. Email: alderd@me.com
Author Biography

This study delves into LinkedIn marketing automation, utilizing low- and no-code tools like Make.com to save significant time in posting and enhance engagement metrics on both personal and corporate pages. Automation demonstrated not only efficiency but also effectiveness in personal branding and corporate visibility, with potential future applications including AI-driven interaction and network expansion through the LinkedIn API. The research highlights automation's transformative potential in digital marketing, promising streamlined workflows, heightened engagement, and increased number of connections. It paves the way for innovative, highly personalized marketing strategies, revolutionizing professional networking on LinkedIn through strategic automation and AI integration.

 

Keywords:

ChatGPT, LinkedIn, generative AI, branding, iPaaS, personalized marketing

Research question:

What is the effect of LinkedIn marketing automations.

Author: Alderd J. Froolik

Figure 3 DALL-E 3 AI-generated image

Effect Chat Generative Pre-trained Transformers in Marketing: Possibilities of ChatGPT utilization on iPaaS

Author: Alderd J. Froolik, LIGS University, Honolulu, Hawaï, USA
Supervisor: Dr. Roberto A. Llauro, Adjunct Professor of LIGS University

Author Note
Alderd J. Froolik
https://orcid.org/0009-0009-1736-7232
Correspondence concerning this article should be addressed to Alderd J. Froolik, LIGS University, p/a Zwanebloem 47, 2408LT Alphen aan den Rijn, The Netherlands. Email: alderd@me.com
Author Biography

Chat Gerative Pre-trained Transformers are used more and more. OpenAI’s ChatGPT is the most used AI solution as of today. In the marketing ChatGPT’s role is creasing on a never seen before scale. Utilyzing ChatGPT on a iPaaS (integration Platform as a Service) will change the way of running a business. iPaaS platforms can take over tasks in various departments. When implemented in the marketing department, it can help to create content from almost any source, distribute it to almost any source, analyze the outcome and all at scale too. Combined with other applications images, videos and podcasts can be created automatically.

Keywords:

ChatGPT, Dall-E, Sora, generative AI, branding, iPaaS

Research question:

ChatGPT implementation in marketing.

Author: Alderd J. Froolik

Effect Autoblogging Using AI: An Analysis of Marketing Automation

Effect Autoblogging Using AI: An Analysis of Marketing Automation

Author: Alderd J. Froolik, LIGS University, Honolulu, Hawaï, USA
Supervisor: Dr. Roberto A. Llauro, Adjunct Professor of LIGS University

Author Note
Alderd J. Froolik
https://orcid.org/0009-0009-1736-7232
Correspondence concerning this article should be addressed to Alderd J. Froolik, LIGS University, p/a Zwanebloem 47, 2408LT Alphen aan den Rijn, The Netherlands. Email: alderd@me.com
Author Biography

In a changing world, labor is one of the most challenging factors. Many businesses struggle to find and to keep dedicated staff to fulfill daily tasks. Within the marketing department is the solution of automating daily tasks. However, not much is known about the effect of automation at scale. In this paper, the effect of marketing automation by using low- and no-code tools combined with AI at scale is brought to the surface. Automations are not only time-saving but are scalable, too, growing into surprising results by creating a cohesive marketing technology stack that operates seamlessly together without increasing labor.

Keywords:

Marketing automation, ChatGPT, generative AI, social media, SEO, brand awareness

Research question:

Automated blog posting: the correlation between the number of posts and reach/traffic.

Author: Alderd J. Froolik

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