A Concept Mapping Study of Physicians’ Perceptions of Factors Influencing Management and Control of Hypertension in Sub-Saharan Africa

Iwelunmor, Juliet; Blackstone, Sarah; Gyamfi, Joyce; Airhihenbuwa, Collins; Plange-Rhule, Jacob; Tayo, Bamidele; Adanu, Richard; Ogedegbe, Gbenga

doi:https://doi.org/10.1155/2015/412804

International Journal of Hypertension

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Abstract Introduction Methods Results Discussion Conclusion Acknowledgments References Copyright Related Articles

Research Article | Open Access

Volume 2015 | Article ID 412804 | https://doi.org/10.1155/2015/412804

A Concept Mapping Study of Physicians’ Perceptions of Factors Influencing Management and Control of Hypertension in Sub-Saharan Africa

Juliet Iwelunmor,¹Sarah Blackstone,¹Joyce Gyamfi,²Collins Airhihenbuwa,³Jacob Plange-Rhule,⁴Bamidele Tayo,⁵Richard Adanu,⁴and Gbenga Ogedegbe²

Academic Editor: Roberto Pontremoli

Received12 Aug 2015

Accepted20 Sept 2015

Published13 Oct 2015

Abstract

Hypertension, once a rare problem in Sub-Saharan Africa (SSA), is predicted to be a major cause of death by 2020 with mortality rates as high as 75%. However, comprehensive knowledge of provider-level factors that influence optimal management is limited. The objective of the current study was to discover physicians’ perceptions of factors influencing optimal management and control of hypertension in SSA. Twelve physicians attending the Cardiovascular Research Training (CaRT) Institute at the University of Ghana, College of Health Sciences, were invited to complete a concept mapping process that included brainstorming the factors influencing optimal management and control of hypertension in patients, sorting and organizing the factors into similar domains, and rating the importance and feasibility of efforts to address these factors. The highest ranked important and feasible factors include helping patients accept their condition and availability of adequate equipment to enable the provision of needed care. The findings suggest that patient self-efficacy and support, physician-related factors, policy factors, and economic factors are important aspects that must be addressed to achieve optimal hypertension management. Given the work demands identified by physicians, future research should investigate cost-effective strategies of shifting physician responsibilities to well-trained no-physician clinicians in order to improve hypertension management.

1. Introduction

Shortages in the health care workforce in Sub-Saharan Africa (SSA) have reached a crisis point [1–3], limiting effective reduction of hypertension related morbidity and mortality rates in patients [4]. In SSA, there are 2.4 million doctors and nurses, which translates to 2 doctors and 11 nursing/midwifery personnel per 10,000 people, compared to 19 doctors and 49 nursing/midwifery personnel per 10,000 in North America [5]. The shortage of health workers is partly due to brain drain or the movement of health personnel in search of a better standard of living, higher salaries, professional advancement opportunities, ready access to advanced technology, and more stable political conditions [2]. These shortages are a multifaceted problem, and improvements are needed if reduction in hypertension related morbidity in SSA is to be achieved.

By the year 2020, available evidence estimates that 75% of all deaths in SSA will be attributable to hypertension [6]. This startling statistic raises important questions about how to best mitigate barriers to optimal hypertension control in the region [7–11]. In SSA countries like Ghana, hypertension is now a major public health concern and the second leading cause of outpatient morbidity in adults aged 45 and above [7, 12–14]. The magnitude of the hypertension problem, including in-depth knowledge of underlying risk factors, remains incompletely understood [4]. Moreover, hypertension is increasing at alarming rates for reasons including urbanization, rapid migration from rural to urban areas, changes in dietary habits, aging of population, and social stress [9, 12, 15, 16]. Poorly managed hypertension also exacerbates the burden of chronic diseases such as stroke, end-stage renal disease, and heart failure, leading to increased morbidity and mortality rates in Africa [17, 18]. Also, knowledge and awareness of hypertension in SSA are alarmingly low, with only 6%–34% of hypertensive adults showing awareness of their status [12, 19, 20]. Although rates of hypertension treatment range from 28% in Ghana [12, 19] to roughly 80% in Nigeria [21, 22], actual rates of patients with maintained blood pressure control are as low as 2% [20].

Most of the existing literature to date in SSA related to hypertension management focuses exclusively on patients [23–25] and sheds little light on physicians’ factors or attitudes likely to influence poor patient outcomes. Yet published literature conducted elsewhere suggests that physicians and patients differ substantially in their perceptions, knowledge, and/or attitudes which may lead to conflict or poor patient outcomes [26]. As a result, a better understanding of physicians’ perceptions is needed to improve hypertension management in the region and improve quality of care. The purpose of the current study was to determine perceived physician-related barriers and/or facilitators to optimal management and control of hypertension in the region.

2. Methods

2.1. Participants

A group of physicians attending the Cardiovascular Research Training (CaRT) Institute at the University of Ghana, College of Health Sciences, was invited to participate in this study. The mission of CaRT is to train the next generation of researchers with expertise in cardiovascular epidemiology in SSA, social determinants of cardiovascular disease (CVD), comparative effectiveness research, community-based participatory research, and dissemination and implementation of community- and practice-based interventions targeted at cardiovascular risk reduction. The investigators met with physicians attending CaRT and explained that the goal of the project was to identify factors that influence optimal hypertension control in patients in Sub-Saharan Africa. Following consent, the investigative team asked participants to complete the concept mapping steps below using the Concept Systems Global Max software (Concept Systems, Inc., Ithaca, NY). Inclusion criteria for the study were participants being at least 18 years of age and participating in the CaRT training program. Twelve physicians participated in this study (nine from Nigeria and three from Ghana). Of these, ten were males and two were females. Number of years in practice ranged from six years to sixteen years. Smaller groups are more conducive to concept mapping methods, detailed below, which is the rationale for the small sample size [27].

2.2. Concept Mapping Methods

Concept mapping, a structured, participatory mixed-methods approach to data collection, was used to gather and interpret the ideas generated from physicians in the region. The main steps of concept mapping have been described extensively in the literature [27, 28]. It is a six-step process that integrates group process activities on a topic of interest with several multivariate quantitative analytical tools (multidimensional scaling and hierarchical cluster analysis) to yield both statistical and graphical representation of a conceptual domain [28]. Concept mapping procedures consist of five steps and then utilization of results as follows. (1) Preparation: the researchers outline the research goals and describe that the primary focus is participants’ perceptions of factors influencing blood pressure management and control. (2) Generation: the researchers present participants with a focus prompt (e.g., a specific factor that influences blood pressure control is…). Participants generate several items that they believe are relevant to the focus prompt. The investigative team reviews the list to remove duplicates to create a final list of generated ideas. (3) Structuring: participants engage in sorting sessions, in which statements are grouped based on similarities into clusters identified and created by the participants. The sorting provides the data needed to generate clusters of factors that influence hypertension management. (4) Representation: computerized analyses are run and the data are summarized into concept maps. The results of the analysis are shared with participants to be examined and discussed. (5) Interpretation: participants are invited back to interpret the final cluster maps. These interpretation group discussions are designed to address the research goal of exploring factors that influence optimal management of blood pressure control in West Africa. See Figure 1 for an outlined process of concept mapping. Concept mapping is a unique approach that promotes “trustworthiness” in the analysis of qualitative data as it includes participants in all aspects of the research process [28, 29]. Also, the application of the quantitative tools provides structure and reliability to data generated through qualitative techniques [27, 29].

2.2.1. Brainstorming

The following prompt was used to elicit ideas from physicians: “As a health care provider, a specific factor that affects your ability to control high blood pressure is…”; brainstorming sessions were conducted online in order to promote candid responses and reduce potential desirability effects. In response to the focus statement, participants were asked to provide concise statements that described factors related to optimal hypertension management and control in patients. A total of 81 statements were generated by participants. The investigative team then distilled these into 54 distinct statements by eliminating duplicate statements, editing statements for clarity, or combining similar statements that reflected physicians’ perceptions of factors influencing optimal management of hypertension.

2.2.2. Sorting and Rating

The statements from the brainstorming session were then randomly reordered for concept mapping sorting and rating steps. Physicians worked on an individual basis to sort the statements into conceptually similar groups and were asked to rate the importance and feasibility of statements separately on a 5-point scale. Importance and feasibility were rated on a 5-point scale that ranged from, for importance, 1: relatively unimportant, to 5: extremely important, and, for feasibility, 1: not at all feasible, to 5: extremely feasible, compared to all other statements. For instance, for each statement physicians were asked, “how important is this to hypertension management” and “how feasible is this to address?” See Figure 2 for sample sorting.

2.3. Analysis

Concept Systems software was also used for analyzing data generated from the sorting and rating exercise. The software used multidimensional scaling (MDS) to create a two-dimensional “point map” that illustrates the distances between the statements generated for each set of sort data [27]. Aside from being used to structure the sort data, MDS does not independently influence the interpretation of results [29]. The MDS analysis is based on the measurement model that assumes that the relative similarity of objects can be represented in terms of the relative distance between pairs of points [30]. The two-dimensional “point map” is chosen for its ease and interpretability [31]. On the point map, items that are more similar based on participant appear closer together. We also calculated the “stress value” of the point map, which is a measure of how well the MDS solution maps the original data. A lower stress value indicates a better fit of the MDS point map to the original data [29]. Subsequently, we conducted hierarchical cluster analysis of the MDS coordinates and computed average rates of each statement and cluster of statements. This created a cluster map that partitions the statements on the point map into conceptual domains [27]. The maps that result show the individual statements in two-dimensional () space with more similar statements located nearer to each other and also show how the clusters partition the space on the map [28, 29]. Since there are no criteria by which a final number of clusters can be selected [29], investigators independently evaluated potential solutions (i.e., 6 clusters and 9 clusters) and agreed on the final model.

2.4. Interpretation

In the interpretation phase of concept mapping, we asked physicians to examine different cluster solutions to determine the best number of clusters and grouping of the statements. Clusters were created by participant feedback, based on the distance between items. Items that are closer together illustrate greater degrees of similarity and were sorted together by more people. Each cluster’s content was examined for each cluster and discussed amongst participants. The process of determining final clusters was based on participants’ subjective preferences. A seven-cluster solution was initially presented to the physicians because the statements within the clusters were conceptually similar to each other. Following further discussion, a four-cluster solution was considered to be visually superior in summarizing the results of the concept mapping. Finally, Go Zone matrices were created based on the final cluster map [27]. Go Zone matrices assign - and -axes to sets of data rated by the physicians where each statement is assigned coordinates based on its respective mean rating. Lines in the Go Zone matrix, which correspond to the mean rating for each axis, divide the graph into four quadrants (low/low, low/high, high/low, and high/high). For instance, items in the top right quadrant are those that were rated as highly important to hypertension management and feasible to address. Following the assumption that high ratings are ideal, the high/high quadrant is considered the Go Zone as it contains those ideas rated most highly on both criteria [32] (i.e., importance and feasibility for addressing patients’ blood pressure).

3. Results

3.1. Cluster Map Solution and Interpretation

The four-cluster concept map generated is presented in Figure 1. Clusters include patient self-efficacy and support factors (20 statements), physician-related factors (14 statements), policy level factors (15 statements), and economic factors (5 statements). See Figure 3. The statements in the clusters are denoted by numbers in the figure and they correspond to the item numbers in Table 1.

Salient statements from the patient self-efficacy clusters included “lack of patient compliance to therapies: diet, medication, physical activity, and stress management (workplace, home, etc.)” (item number 3) and “patients think hypertension is curable after some time on medication” (item number 43). These statements also reflect physicians’ doubt of patients’ treatment efficacy. The cluster of physician-related factors reflects barriers and facilitators that physicians themselves may face with helping patients manage and control their hypertension. Two salient statements in the cluster: “we do not adequately counsel our patients on ways to control their blood pressure” (item number 9) and “the failure of physicians to adopt a patient centered model in educating patients about their conditions” (item number 14), highlight that physicians’ attitudes towards hypertension management may be more important than their actual knowledge of the disease. Furthermore, statements in relation to workload (item number 46 “high patient burden at hypertension clinics”) may also make it difficult to have good doctor-patient communication or engage in strategies such as patient counseling which would contribute to reduction in high blood pressure rates.

Policy level factors and economic factors reflect physician perceptions of barriers to hypertension management and control operating at the systems level which patients may have little or no control over [33]. For example, statements, such as “primary healthcare systems are nonfunctional” (item number 31) and “the cost and availability of blood pressure drugs” (item number 38), may affect the hypertension care outcome in patients or contribute to physician inertia that may have anticipated or unanticipated effects with hypertension awareness, treatment, control, and medication adherence in the region [33].

3.2. Go Zones

Figure 4 provides the Go Zones matrices for each of the four clusters. These statements were rated either above or below the mean for both importance and feasibility by the physicians. Of all the statements, the one rated highest for importance was item number 1: “our patients are in denial and they fail to accept their condition,” and the highest for feasibility is item number 13: “we do not have the required equipment to provide the needed care for the management of high blood pressure.” The statement that was ranked among the lowest for importance is item number 7: “the age of the patient influences physicians ability to discuss blood pressure management.” Two items were ranked as not feasible; both were patient related issues and they include item number 22: “patients experience stress of modern day life,” and item number 24: “patients lack resources for follow-up care.”

4. Discussion

Using concept mapping, this study examined physicians’ perceptions of factors influencing hypertension management and control in patients in Sub-Saharan Africa. Unlike other methods of qualitative inquiry such as focus groups, concept mapping allows for a shared understanding of factors influencing optimal management and control of hypertension in patients through a wide range of physician generated statements and ideas. In total, 54 statements were generated and grouped into four clusters that reflect patient self-efficacy and support factors, physician-related factors, policy level factors, and economic factors.

Although physicians generally agreed on the importance and feasibility of these statements, it can be surmised from their ratings that two specific factors, namely, patient-related factors (i.e., the patient’s ability to come to terms with their diagnosis of hypertension) and economic factors (access to medical resources/equipment for the management of hypertension), were regarded as the most important hurdles that are not too difficult or too costly to surmount. Particularly with regard to patients, failure to accept their condition and denial of hypertension were noted as the most important factor influencing patient adherence to medication and behavioral changes. This may be in part due to the lack of adequate patient counseling on blood pressure management as well as the failure to adopt a patient centered model, which were both noted as barriers to optimal blood pressure management in this study. It might also be inferred that high workload may preclude their engagement of ineffective hypertension management strategies. Indeed, this result complements those of other studies examining chronic disease in Sub-Saharan Africa. Murphy and colleagues [34] found that negative provider interactions affected patients’ ability to accept their condition as well as their motivation to engage with providers about behavioral and lifestyle changes needed to manage diabetes. Patients also noted the lack of sufficient counselling and discussed that they wanted providers to spend more time educating them on the disease and management, as they felt ill-equipped to handle it themselves. Additionally, our study found that lack of a functional primary health care mechanism and patients’ lack of resources for follow-up care, including regular access to medication, greatly hamper efforts to control blood pressure. This complements the work of Goudge et al. [35], in South Africa, in which the authors found that over half of the households surveyed could not afford regular follow-up care; in some cases families had no income and depended on gifts from friends and other family members to afford health care. Majority of these cases received intermittent treatment at best. Even among households with the means to seek care, only half of the participants were treated regularly for a chronic condition. Weaknesses at the health systems level including poor referral systems, interrupted medication supply, and poor provider-patient interactions were primary barriers to consistent treatment. Interventions addressing these barriers at the provider and health systems level are needed to facilitate optimal maintenance and treatment of hypertension.

Though there is ample evidence that hypertension is an increasing problem in SSA, there is a lack of evidence regarding health care workers’ perceptions of factors that influence optimal disease management. Our results complement the few studies that have investigated this topic and are similar to those reported in a recent review of systems level factors influencing hypertension control in SSA [3]. In many parts of SSA, workforce shortage has reached a crisis point and severely limits the ability of physicians to effectively reduce hypertension related morbidity and mortality rates. Workforce shortage and overworked physicians were also noted as barriers in this study. In Parker et al. [32], a survey of 16 health practitioners also identified medical staff shortage as a challenge to the effective management of hypertension at primary care facilities in South Africa. Similarly, an analysis of interviews conducted among patients from 18 community health centers in Cape Town suggested that “doctors and nurses were working under increasingly difficult circumstances and staff shortages are the main barriers to effectively managing patients with chronic conditions such as hypertension” 37 g [36]. Similarly, a nurse-led protocol for the management of hypertension in 454 patients over a 26-month period led to a drop of systolic pressure (11.7 mmHg) and diastolic pressure in patients (7.8 mmHg) between baseline and final visits [37]. Task-shifting is one possible solution to the noted barriers by physicians in this study as it would (1) reduce the workload for currently practicing physicians and (2) allow patients to receive more time with health care providers discussing how to properly manage hypertension through appropriate lifestyle changes [38]. As providers in this study noted that patient self-efficacy factors related to acceptance and management of their condition were among the several barriers to optimal hypertension control, more in-depth and longer sessions with health care providers could help patients improve self-efficacy and address concerns related to disease management.

Despite the implications for policy and practice, there are limitations to the current study. The relatively low sample size makes it difficult to generalize findings to other physicians in the region. Furthermore, the concept mapping process itself was very intensive, requiring several hours of participation for brainstorming, sorting of statements, and rating of those statements. The use of the Cardiovascular Research Training Program (CaRT) was extremely helpful as coordinators allocated time during the training which enabled physicians to finish the various concept mapping steps on time. However, the time demand of concept mapping may have prohibited more physicians from participating due to their high workload.

5. Conclusion

The findings of our study suggest that hypertension management and control as reflected in the perceptions of physicians is a multifaceted problem. Patient self-efficacy and support, physician-related factors, policy factors, and economic factors are important aspects that must be addressed if reduction in hypertension related morbidity and mortality rate in Sub-Saharan Africa is to be achieved. The strength of this study is the focus on key stakeholders (i.e., physicians) in Sub-Saharan Africa who are often left out of discussions of ways to mitigate the worldwide rising problem of hypertension. Their practical experience allows them insight into a wide range of factors that may impede efforts to reduce hypertension related morbidity and mortality not only at a local but also on a regional and global level. Given the work demands for physicians, future research should explore viable and cost-effective strategies such as task-shifting or the rational distribution of tasks among health care workforce teams in Sub-Saharan Africa.

Conflict of Interests

The authors declare that there is no conflict of interests regarding the publication of this paper.

Acknowledgments

The investigators would like to acknowledge the physicians attending the Cardiovascular Research Training (CaRT) Institute at the University of Ghana, College of Health Sciences, for their support for this project and participation in the concept mapping process. This project is supported by a research initiation grant from the UIUC Research Board and by NIH/FIC 5D43TW009140-04 (PI Ogedegbe) and R03TW010081 (PI Iwelunmor).

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Copyright

Copyright © 2015 Juliet Iwelunmor et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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