Exploratory qualitative study to understand the underlying motivations and strategies of the private for-profit healthcare sector in urban Bangladesh

Health system challenges and opportunities in organizing non-communicable diseases services delivery at primary healthcare level in Bangladesh: A qualitative study

Introduction

The weak health system is viewed as a major systematic obstacle to address the rising burden of non-communicable diseases (NCDs) in resource-poor settings. There is little information about the health system challenges and opportunities in organizing NCD services. This study examined the health system challenges and opportunities in organizing NCD services for four major NCDs (cervical cancer, diabetes mellitus, cardiovascular diseases, and chronic respiratory illnesses) at the primary healthcare (PHC) level in Bangladesh.

Methods

Using a qualitative method, data were collected from May to October 2021 by conducting 15 in-depth interviews with local healthcare providers, 14 key informant interviews with facility-based providers and managers, and 16 focus group discussions with community members. Based on a health system dynamics framework, data were analyzed thematically. Information gathered through the methods and sources was triangulated to validate the data.

Results

Organization of NCD services at the PHC level was influenced by a wide range of health system factors, including the lack of using standard treatment guidelines and protocols, under-regulated informal and profit-based private healthcare sectors, poor health information system and record-keeping, and poor coordination across healthcare providers and platforms. Furthermore, the lack of functional referral services; inadequate medicine, diagnostic facilities, and logistics supply; and a large number of untrained human resources emerged as key weaknesses that affected the organization of NCD services. The availability of NCD-related policy documents, the vast network of healthcare infrastructure and frontline staff, and increased demand for NCD services were identified as the major opportunities.

Conclusion

Despite the substantial potential, the health system challenge impeded the organization of NCD services delivery at the PHC level. This weakness needs be to addressed to organize quality NCD services to better respond to the rising burden of NCDs at the PHC level.

Public Service Motivation and Determining Factors to Attract and Retain Health Professionals in the Public Sector: A Systematic Review

(1) Background: The motivational determinants of health professionals to choose and remain in the public sector have been increasingly addressed, including the customized approach of Public Service Motivation (PSM). However, to date, no systematic research overview has been performed in this domain, leaving the body of literature unstructured. This article fills this gap by assessing the motivational factors of choice for the public sector in the health field, and the conceptual and methodological trends of this research stream. (2) Methods: This study follows the PRISMA protocol to ascertain patterns in past research and inform researchers, practitioners, and policymakers. Eighty-nine documents published between 1998 and 2021 were retained after selecting them according to their theme and outlined goals. (3) Results: Common motivational determinants are remuneration, available resources, work conditions, and frequency of contact and interaction with patients. The PSM construct and scale are often employed as main frameworks, but there is also a concern in assessing motivation drawing on psychological constructs that reflect the challenging line of work and environment that is health care, such as presenteeism, stress, and perception of hindrances. (4) Conclusions: By focusing on health professionals' motivation, this study contributes to a timely systematization in challenging times for health institutions and their human resources.

Motivation to test, treat, and report malaria cases: a quantitative assessment among private sector providers in the Greater Mekong Subregion

Background

Accurately testing, treating, and tracking all malaria cases is critical to achieving elimination. Ensuring health providers are able and motivated to test, treat, and report cases is a necessary component of elimination programmes, and particularly challenging in low endemic settings where providers may not encounter a large volume of cases. This study aimed to understand provider motivations to test, treat, and report malaria cases to better optimize programme design, adjust incentive schemes, and ultimately improve reporting rates while growing the evidence base around private providers in the Greater Mekong Subregion (GMS).

Methods

With funding from the Bill & Melinda Gates Foundation, this study aimed to identify and validate distinctive subtypes of motivation among private sector providers enrolled in the Greater Mekong Subregion Elimination of Malaria through Surveillance (GEMS) programme, implemented by Population Services International. Quantitative questionnaires were administered electronically in person by trained enumerators to various provider groups in Myanmar, Lao PDR, and Vietnam. A three-stage confirmatory factor analysis was then conducted in STATA.

Results

Following this analysis, a two-factor solution that describes motivation in this population of providers was identified, and providers were scored on the two dimensions of motivation. The correlation between the two rotated factors was 0.3889, and the Kaiser–Meyer–Olkin (KMO) measure of sampling adequacy was 0.93, indicating an excellent level of suitability. These providers, who are often assumed to only be financially motivated, engaged in malaria elimination activities because of both internal and external motivational factors that are independent of remuneration or financial gain. For all three countries’ data, significant covariances between the two latent variables for internal and external motivation were found. The models were found to be of adequate to good fit for the data across all three countries. It was determined that private sector providers, who were previously believed to be primarily financially motivated, were also motivated by personal factors. Motivation was also associated with key outcomes of importance to malaria elimination, such as reporting and stocking of tests and treatments.

Conclusion

Maintaining or increasing provider motivation to test and treat is essential in the fight to eliminate malaria from the GMS, as it helps to ensure that providers continue to pursue this goal, even in a low incidence environment where cases may be rare and in which providers face financial pressure to focus on areas of health service provision. Establishing mechanisms to better motivate providers through intrinsic factors is likely to have a substantive impact on the sustainability of malaria case management activities.

Modelling improved efficiency in healthcare referral systems for the urban poor using a geo-referenced health facility data: the case of Sylhet City Corporation, Bangladesh

Background

An effective referral system is critical to ensuring access to appropriate and timely healthcare services. In pluralistic healthcare systems such as Bangladesh, referral inefficiencies due to distance, diversion to inappropriate facilities and unsuitable hours of service are common, particularly for the urban poor. This study explores the reported referral networks of urban facilities and models alternative scenarios that increase referral efficiency in terms of distance and service hours.

Methods

Road network and geo-referenced facility census data from Sylhet City Corporation were used to examine referral linkages between public, private and NGO facilities for maternal and emergency/critical care services, respectively. Geographic distances were calculated using ArcGIS Network Analyst extension through a “distance matrix” which was imported into a relational database. For each reported referral linkage, an alternative referral destination was identified that provided the same service at a closer distance as indicated by facility geo-location and distance analysis. Independent sample t-tests with unequal variances were performed to analyze differences in distance for each alternate scenario modelled.

Results

The large majority of reported referrals were received by public facilities. Taking into account distance, cost and hours of service, alternative scenarios for emergency services can augment referral efficiencies by 1.5–1.9 km (p < 0.05) compared to 2.5–2.7 km in the current scenario. For maternal health services, modeled alternate referrals enabled greater referral efficiency if directed to private and NGO-managed facilities, while still ensuring availability after working-hours. These referral alternatives also decreased the burden on Sylhet City’s major public tertiary hospital, where most referrals were directed. Nevertheless, associated costs may be disadvantageous for the urban poor.

Conclusions

For both maternal and emergency/critical care services, significant distance reductions can be achieved for public, NGO and private facilities that avert burden on Sylhet City’s largest public tertiary hospital. GIS-informed analyses can help strengthen coordination between service providers and contribute to more effective and equitable referral systems in Bangladesh and similar countries.