Identification of Hypertension and Efficacy of Treatment in a Rural Australian Population

Jelinek, Herbert; Kolbe, Cherryl; Wang, Lexin; Oxbrow, Doug

doi:10.1080/10641960802275064

Cited by 4 publications

(5 citation statements)

References 9 publications

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“…It is possible that these respondents were completely unaware of the medical conditions they were being treated for, or they just opted not to respond to the medical history checklist. Our findings are relatively lower compared to the study by Jelinek et al which found that 6.4% of rural patients were unaware of being identified as hypertensive but were taking BP-lowering medications [30].…”

Section: Discussioncontrasting

confidence: 91%

“…Furthermore, our participant recruitment was based on open invitation to participate, which may have led to certain groups to be more inclined to participate. When compared to a similar local study conducted in a rural community, we found that our findings were similar [30]. These studies may demonstrate a higher burden of hypertension in rural and regional areas.…”

Section: Discussionsupporting

confidence: 80%

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Hypertension Status and Associations with Self-Rated Health and General Practitioner Health Seeking in a Rural Australian Cohort

Gavino

Isaac

McLachlan

2018

JCDD

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Hypertension is the most frequently managed condition by Australian general practitioners (GP). Knowledge of hypertension and blood pressure (BP) values may motivate individuals to seek GP management. Our study aims to determine the associations of knowledge of BP values, BP perception, GP health seeking, and self-rated health (SRH) in a rural population. Two-hundred and seventy-eight (278) residents responded to the health survey on socio-demographic profile, medical history, BP knowledge and perception, SRH, and GP visit frequency. Associations were evaluated using Chi-squared test and multivariate logistic regression. Cohort mean age was 63.6 (12.4) years with 63.3% females. Hypertension (37.8%) was the most common condition. GP visits were made at least once every month (19.1%), every 2–6 months (35.6%), >6 months (11.5%), or only when needed (29.5%). Univariate analyses showed age, education, alcohol consumption, comorbidities, hypertension status, and SRH were significantly associated with visit frequency. After adjustments, hypertension status (OR = 3.6, 95% CI [1.7, 7.9]) and poor SRH (OR = 3.1, 95% CI [1.4, 7.0]) were significantly associated with frequent monthly visits. Our cohort demonstrated that having hypertension and poor self-rated health were associated with frequent monthly GP visits. The perception of high blood pressure does not drive seeking additional GP input.

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Section: Discussioncontrasting

confidence: 91%

Section: Discussionsupporting

confidence: 80%

Hypertension Status and Associations with Self-Rated Health and General Practitioner Health Seeking in a Rural Australian Cohort

Gavino

Isaac

McLachlan

2018

JCDD

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“…The aim of this study is to use the same self-reported data to characterize the spatial distribution of HT in Albury. Previous studies suggest that in this rural Australian city, HT is substantially higher than the state and national averages [10,11].…”

Section: Introductionmentioning

confidence: 82%

“…Our dataset comprises 515 clinical data (2.8% of the over-45 population of Albury) collected from self-selected participants in a free health-screening program [10,11], part of a research project studying chronic disease prevalence in rural areas. Amongst other data, presence of HT and age were recorded.…”

Section: Figure 1 Location Of Albury In Australiamentioning

confidence: 99%

Spatial Characterization of Hypertension Clusters using a Rural Australian Clinical Database

Whitsed

Horta

Jelinek

et al. 2017

Computing in Cardiology Conference (CinC)

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This study aimed to characterize the spatial distribution of hypertension (HT) clusters in a rural Australian city using self-reported HT data collected at a local healthscreening clinic. HT status was recorded for 515 selfselected participants in a free health-screening program in Albury, New South Wales, Australia. We compared predictions of HT clusters computed using spatial scan statistic and Generalised Additive Model (GAM). We then implemented a new approach incorporating sensitivity analysis in GAM to combine cluster predictions at multiple span sizes. A statistically significant cluster for HT was identified in Albury centered to the north of the main urban center, with relative risk up to 2.29. The sensitivity analysis confirmed the cluster location and highlighted other potential HT clusters. Our approach allows detection of irregularly-shaped disease clusters and highlights potential clusters that may be overlooked using traditional methods. This is important in cases using local, small datasets where regularly-shaped or overly smoothed disease clusters may not provide enough detail to be suitable for targeting place-based interventions.

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“…An appointment was made to attend the health screening clinic. Each participant who attended received an information sheet and signed an informed consent form to participate in the study and have their collected data used for research purposes [14,15] .…”

Section: Patient Recruitmentmentioning

confidence: 99%

Awareness and Pharmacotherapy of Hypertension in a Rural Community

White

Wang²,

Jelinek³

2009

Med Princ Pract

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Objective: To determine the level of awareness of hypertension and pharmacological management in patients from a rural community of Australia. Subjects and Methods: A total of 665 patients were studied. Thepatients were recruited from Albury-Wodonga and surrounding districts, which are located in a rural area of south-eastern Australia. Demographic information and medical history were recorded for all patients. Clinical data were also recorded. Results: Of the 665 patients, 449 (75%) were hypertensive, and of these 449 hypertensive patients, 195 (43.4%) were aware that they had hypertension. Blood pressure was inadequately controlled in 399 of the hypertensive patients (88.9%) according to the management guidelines of the National Heart Foundation of Australia. Of all the patients who had hypertension, 247 (55.0%) were not receiving antihypertensive therapy. Of those receiving therapy, 132 (65.3%) were being administered only one antihypertensive (monotherapy). The most commonly prescribed antihypertensive classes were angiotensin-converting enzyme inhibitors, angiotensin II receptor antagonists, diuretics, β-blockers and calcium channel blockers. Conclusion: The level of awareness of hypertension and its management appeared to be poor in hypertensive patients living in this rural Australian community. Actual hypertension control was extremely poor, and a major potential cause of this may be the poor use of anti-hypertensive medications in these patients. Strategies to improve the awareness of hypertension and its required management in patients residing in rural communities are recommended.

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Identification of Hypertension and Efficacy of Treatment in a Rural Australian Population

Cited by 4 publications

References 9 publications

Hypertension Status and Associations with Self-Rated Health and General Practitioner Health Seeking in a Rural Australian Cohort

Hypertension Status and Associations with Self-Rated Health and General Practitioner Health Seeking in a Rural Australian Cohort

Spatial Characterization of Hypertension Clusters using a Rural Australian Clinical Database

Awareness and Pharmacotherapy of Hypertension in a Rural Community

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