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1.
Int J Equity Health ; 23(1): 97, 2024 May 13.
Article in English | MEDLINE | ID: mdl-38735959

ABSTRACT

BACKGROUND: Unequal access to primary healthcare (PHC) has become a critical issue in global health inequalities, requiring governments to implement policies tailored to communities' needs and abilities. However, the place-based facility dimension of PHCs is oversimplified in current healthcare literature, and formulating the equity-oriented PHC spatial planning remains challenging without understanding the multiple impacts of community socio-spatial dynamics, particularly in remote areas. This study aims to push the boundary of PHC studies one step further by presenting a nuanced and dynamic understanding of the impact of community environments on the uneven primary healthcare supply. METHODS: Focusing on Shuicheng, a remote rural area in southwestern China, multiple data are included in this village-based study, i.e., the facility-level healthcare statistics data (2016-2019), the statistical yearbooks, WorldPop, and Chinese GDP's spatial distribution data. We evaluate villages' PHC service capacity using the number of doctors and essential equipment per capita, which are the major components of China's PHC delivery. The indicators describing community environments are selected based on extant literature and China's planning paradigms, including town- and village-level factors. Gini coefficients and local spatial autocorrelation analysis are used to present the divergences of PHC capacity, and multilevel regression model and (heterogeneous) difference in difference model are used to examine the driving role of community environments and the dynamics under the policy intervention. RESULTS: Despite the general improvement, PHC inequalities remain significant in remote rural areas. The village's location, aging, topography, ethnic autonomy, and economic conditions significantly influence village-level PHC capacity, while demographic characteristics and healthcare delivery at the town level are also important. Although it may improve the hardware setting in village clinics (coef. = 0.350), the recent equity-oriented policy attempts may accelerate the loss of rural doctors (coef. = - 0.517). Notably, the associations between PHC and community environments are affected inconsistently by this round of policy intervention. The town healthcare centers with higher inpatient service capacity (coef. = - 0.514) and more licensed doctors (coef. = - 0.587) and nurses (coef. = - 0.344) may indicate more detrimental policy effects that reduced the number of rural doctors, while the centers with more professional equipment (coef. = 0.504) and nurses (coef. = 0.184) are beneficial for the improvement of hardware setting in clinics. CONCLUSIONS: The findings suggest that the PHC inequalities are increasingly a result of joint social, economic, and institutional forces in recent years, underlining the increased complexity of the PHC resource allocation mechanism. Therefore, we claim the necessity to incorporate a broader understanding of community orientation in PHC delivery, particularly the interdisciplinary knowledge of the spatial lens of community, to support its sustainable development. Our findings also provide timely policy insights for ongoing primary healthcare reform in China.


Subject(s)
Health Services Accessibility , Primary Health Care , Rural Health Services , Rural Population , China , Humans , Primary Health Care/statistics & numerical data , Health Services Accessibility/statistics & numerical data , Rural Population/statistics & numerical data , Rural Health Services/statistics & numerical data , Health Policy , Physicians/supply & distribution , Physicians/statistics & numerical data , Healthcare Disparities , Equipment and Supplies/supply & distribution
2.
BMC Pediatr ; 24(1): 519, 2024 Aug 10.
Article in English | MEDLINE | ID: mdl-39127647

ABSTRACT

BACKGROUND: Recent research highlighting a shortage of pediatric subspecialists in the United States has shown wide variations in the distance from children to the nearest subspecialists but has not accounted for subspecialty outreach clinics, in which specialists may improve access in rural areas by periodically staffing clinics there. This study aimed to determine the impact of pediatric subspecialty outreach clinics on the driving times to the nearest pediatric subspecialists for children in Maine. METHODS: This cross-sectional study utilized administrative data on the schedule and location of pediatric subspecialty clinics in Maine in 2022 to estimate the driving time from each ZIP-code tabulation area to the nearest subspecialist, with and without the inclusion of outreach clinics. Using 2020 census data, we calculated the median and interquartile ranges of driving times for the state's overall child population, as well as for children living in urban and rural areas. RESULTS: Of 207,409 individuals under 20 years old in Maine, 68% were located closer to an outreach location than to a clinical hub. Across the seven subspecialties offering outreach clinics, outreach clinics decreased median driving times to the nearest pediatric subspecialist by 5 to 26 minutes among all children, and by 16 to 46 minutes among rural children. CONCLUSIONS: Pediatric subspecialty outreach clinics can substantially reduce the driving time to the nearest pediatric subspecialist , especially for children living in rural areas. The use of outreach clinics should be accounted for in research describing the geographic access or barriers to care. Expanding the number of outreach clinics should be considered by policymakers hoping to improve access.


Subject(s)
Health Services Accessibility , Pediatrics , Health Services Accessibility/statistics & numerical data , Humans , Cross-Sectional Studies , Child , Maine , Adolescent , Child, Preschool , Rural Health Services/statistics & numerical data , Specialization/statistics & numerical data , Community-Institutional Relations , Ambulatory Care Facilities/statistics & numerical data , Ambulatory Care Facilities/organization & administration , Infant
3.
BMC Health Serv Res ; 24(1): 627, 2024 May 14.
Article in English | MEDLINE | ID: mdl-38745226

ABSTRACT

BACKGROUND: The public health service capability of primary healthcare personnel directly affects the utilization and delivery of health services, and is influenced by various factors. This study aimed to examine the status, factors, and urban-rural differences of public health service capability among primary healthcare personnel, and provided suggestions for improvement. METHODS: We used cluster sampling to survey 11,925 primary healthcare personnel in 18 regions of Henan Province from 20th to March 31, 2023. Data encompassing demographics and public health service capabilities, including health lifestyle guidance, chronic disease management, health management of special populations, and vaccination services. Multivariable regression analysis was employed to investigate influencing factors. Propensity Score Matching (PSM) quantified urban-rural differences. RESULTS: The total score of public health service capability was 80.17 points. Chronic disease management capability scored the lowest, only 19.60. Gender, education level, average monthly salary, professional title, health status, employment form, work unit type, category of practicing (assistant) physician significantly influenced the public health service capability (all P < 0.05). PSM analysis revealed rural primary healthcare personnel had higher public health service capability scores than urban ones. CONCLUSIONS: The public health service capability of primary healthcare personnel in Henan Province was relatively high, but chronic disease management required improvement. Additionally, implementing effective training methods for different subgroups, and improving the service capability of primary medical and health institutions were positive measures.


Subject(s)
Health Personnel , Primary Health Care , Humans , China , Male , Female , Primary Health Care/statistics & numerical data , Adult , Health Personnel/statistics & numerical data , Middle Aged , Surveys and Questionnaires , Rural Health Services/statistics & numerical data , Rural Health Services/organization & administration
4.
BMC Health Serv Res ; 24(1): 844, 2024 Jul 25.
Article in English | MEDLINE | ID: mdl-39061046

ABSTRACT

BACKGROUND: Prior studies suggest that physician assistants/associates (PAs) are more likely than physicians to work in underresourced areas. However, data characterizing the current PA workforce in health professional shortage areas (HPSAs) and medically underserved areas (MUAs) are lacking. METHODS: We analyzed the 2022 cross-sectional dataset from a comprehensive national database to examine the demographic and practice characteristics of PAs working in HPSAs/MUAs compared to those in other settings. Analyses included descriptive and bivariate statistics, along with multivariate logistic regression. RESULTS: Nearly 23% of PAs reported practicing in HPSAs/MUAs. Among PAs in HPSAs/MUAs, over a third (34.6%) work in primary care settings, 33.3% identify as men, 15.6% reside in rural/isolated areas, and 14.0% are from an underrepresented in medicine (URiM) background. Factors associated with higher odds of practicing in a HPSA/MUA included residing in rural/isolated settings, URiM background, and speaking a language other than English with patients. CONCLUSIONS: As the PA profession grows, knowledge of these attributes may help inform efforts to expand PA workforce contributions to address provider shortages.


Subject(s)
Medically Underserved Area , Physician Assistants , Humans , Physician Assistants/supply & distribution , Physician Assistants/statistics & numerical data , Cross-Sectional Studies , Male , Female , Adult , Middle Aged , United States , Rural Health Services/statistics & numerical data , Workforce , Primary Health Care/statistics & numerical data , Primary Health Care/organization & administration , Health Workforce/statistics & numerical data
5.
BMC Health Serv Res ; 24(1): 804, 2024 Jul 11.
Article in English | MEDLINE | ID: mdl-38992648

ABSTRACT

BACKGROUND: Limited access to specialist medical services is a major barrier to healthcare in rural areas. We compared rural-urban specialist doctor consultations outside hospital by older adults (≥ 60 years) across South Australia. METHODS: Cross-sectional data were available from the South Australia's Department of Health. The Modified Monash Model (MM1-7) of remoteness was used to categorize data into rural (MM 3-4), remote (MM5-7), and urban (MM1-MM2) of participants in urban and non-urban South Australia. The analysis was conducted on older adults (n = 20,522), self-reporting chronic physical and common mental health conditions. RESULTS: Specialist doctor consultation in the past 4 weeks was 14.6% in our sample. In multivariable analysis, increasing age (odds ratio 1.3, 95% CI: 1.2-1.4), higher education (odds ratio 1.5, 95% CI: 1.3-1.9), physical health conditions [diabetes (odds ratio 1.2, 95% CI: 1.1-1.3); cancer (odds ratio1.8, 95% CI: 1.7-2.0); heart disease (odds ratio 1.9, 95% CI: 1.6-2.1)], and common mental disorders [depression (odds ratio 1.3, 95% CI: 1.1-1.5); anxiety (odds ratio 1.4, 95% CI: 1.1-1.6)] were associated with higher specialist care use. Specialist care use among rural (odds ratio 0.8, 95% CI: 0.6-0.9), and remote (odds ratio 0.8, 95% CI: 0.7-0.9) older people was significantly lower than their urban counterparts after controlling for age, education, and chronic disease. CONCLUSION: Our findings demonstrate a disparity in the use of out of hospital specialist medical services between urban and non-urban areas.


Subject(s)
Specialization , Humans , Aged , Male , Female , South Australia , Cross-Sectional Studies , Middle Aged , Specialization/statistics & numerical data , Health Services Accessibility/statistics & numerical data , Medicine/statistics & numerical data , Aged, 80 and over , Rural Health Services/statistics & numerical data , Chronic Disease/therapy , Referral and Consultation/statistics & numerical data
6.
BMC Health Serv Res ; 24(1): 517, 2024 Apr 24.
Article in English | MEDLINE | ID: mdl-38658925

ABSTRACT

OBJECTIVE: This study aimed to assess the service quality (SQ) for Type 2 diabetes mellitus (T2DM) and hypertension in primary healthcare settings from the perspective of service users in Iran. METHODS: The Cross-sectional study was conducted from January to March 2020 in urban and rural public health centers in the East Azerbaijan province of Iran. A total of 561 individuals aged 18 or above with either or both conditions of T2DM and hypertension were eligible to participate in the study. The study employed a two-step stratified sampling method in East Azerbaijan province, Iran. A validated questionnaire assessed SQ. Data were analyzed using One-way ANOVA and multiple linear regression statistical models in STATA-17. RESULTS: Among the 561 individuals who participated in the study 176 (31.3%) were individuals with hypertension, 165 (29.4%) with T2DM, and 220 (39.2%) with both hypertension and T2DM mutually. The participants' anthropometric indicators and biochemical characteristics showed that the mean Fasting Blood Glucose (FBG) in individuals with T2DM was 174.4 (Standard deviation (SD) = 73.57) in patients with T2DM without hypertension and 159.4 (SD = 65.46) in patients with both T2DM and hypertension. The total SQ scores were 82.37 (SD = 12.19), 82.48 (SD = 12.45), and 81.69 (SD = 11.75) for hypertension, T2DM, and both conditions, respectively. Among people with hypertension and without diabetes, those who had specific service providers had higher SQ scores (b = 7.03; p = 0.001) compared to their peers who did not have specific service providers. Those who resided in rural areas had lower SQ scores (b = -6.07; p = 0.020) compared to their counterparts in urban areas. In the group of patients with T2DM and without hypertension, those who were living in non-metropolitan cities reported greater SQ scores compared to patients in metropolitan areas (b = 5.09; p = 0.038). Additionally, a one-point increase in self-management total score was related with a 0.13-point decrease in SQ score (P = 0.018). In the group of people with both hypertension and T2DM, those who had specific service providers had higher SQ scores (b = 8.32; p < 0.001) compared to the group without specific service providers. CONCLUSION: Study reveals gaps in T2DM and hypertension care quality despite routine check-ups. Higher SQ correlates with better self-care. Improving service quality in primary healthcare settings necessitates a comprehensive approach that prioritizes patient empowerment, continuity of care, and equitable access to services, particularly for vulnerable populations in rural areas.


Subject(s)
Diabetes Mellitus, Type 2 , Hypertension , Primary Health Care , Quality of Health Care , Humans , Diabetes Mellitus, Type 2/therapy , Hypertension/therapy , Hypertension/epidemiology , Iran , Cross-Sectional Studies , Male , Female , Middle Aged , Primary Health Care/standards , Primary Health Care/statistics & numerical data , Quality of Health Care/statistics & numerical data , Quality of Health Care/standards , Adult , Aged , Surveys and Questionnaires , Rural Health Services/standards , Rural Health Services/statistics & numerical data , Urban Health Services/standards , Urban Health Services/statistics & numerical data , Rural Population/statistics & numerical data , Urban Population/statistics & numerical data
7.
Int J Qual Health Care ; 36(3)2024 Aug 05.
Article in English | MEDLINE | ID: mdl-39005076

ABSTRACT

Person-centered primary care measures (PCPCM) facilitate high-quality and culturally appropriate primary care. Access to PCPCM remains unequal between rural and urban areas, and the available evidence on rural PCPCM is still lacking. A cross-sectional survey was conducted with stratified sampling by regions, and four districts (Xicheng, Fengtai, Huairou, and Daxing) in Beijing were selected to test the performance of PCPCM in both urban and rural areas. Descriptive statistical methods were used to compare the urban-rural differences in the demographic characteristics of PCPCM. Correlation and regression analyses were performed to determine the associations between PCPCM in demographics and utilization of primary care. The PCPCM showed good reliability and validity in both urban and rural areas (P < .001), slightly lower in rural areas, but scores of rural PCPCM (R-PCPCM) in all items were lower than urban PCPCM (U-PCPCM). Patients in either the preferred urban or rural health centers all showed the highest PCPCM scores, with U-PCPCM= 3.31 for CHCs and R-PCPCM= 3.10 for RHCs, respectively. Patients in urban areas were more likely to receive higher-quality primary care than in rural areas (P < .001). Patients who preferred hospitals (ß = 2.61, P < .001) or CHCs (ß = 0.71, P = .003) as providers was a significant positive predictor of U-PCPCM but it was the preference for hospitals (ß = 2.95, P < .001) for R-PCPCM. Urban-rural differences existed in the performance of PCPCM, with rural areas typically more difficult to access better PCPCM. To promote health equity in rural areas, healthcare providers should strive to minimize urban-rural differences in the quality and utilization of primary care services as much as feasible.


Subject(s)
Health Equity , Primary Health Care , Rural Population , Humans , Primary Health Care/statistics & numerical data , Cross-Sectional Studies , Male , Female , Middle Aged , Adult , Rural Population/statistics & numerical data , Beijing , Patient-Centered Care/statistics & numerical data , Urban Population/statistics & numerical data , Health Services Accessibility/statistics & numerical data , China , Aged , Quality of Health Care , Rural Health Services/statistics & numerical data , Surveys and Questionnaires , Reproducibility of Results
8.
BMC Emerg Med ; 24(1): 107, 2024 Jun 26.
Article in English | MEDLINE | ID: mdl-38926855

ABSTRACT

BACKGROUND: A severely injured patient needs fast transportation to a hospital that can provide definitive care. In Norway, approximately 20% of the population live in rural areas. Primary care doctors (PCDs) play an important role in prehospital trauma care. The aim of this study was to investigate how variations in PCD call-outs to severe trauma incidents in Norway were associated with rural-urban settings and time factors. METHODS: In this study on severe trauma patients admitted to Norwegian hospitals from 2012 to 2018, we linked data from four official Norwegian registries. Through this, we investigated the call-out responses of PCDs to severe trauma incidents. In multivariable log-binomial regression models, we investigated whether factors related to rural-urban settings and time factors were associated with PCD call-outs. RESULTS: There was a significantly higher probability of PCD call-outs to severe trauma incidents in the municipalities in the four most rural centrality categories compared to the most urban category. The largest difference in adjusted relative risk (95% confidence interval (CI)) was 2.08 (1.27-3.41) for centrality category four. PCDs had a significantly higher proportion of call-outs in the Western (RR = 1.46 (1.23-1.73)) and Central Norway (RR = 1.30 (1.08-1.58)) Regional Health Authority areas compared to in the South-Eastern area. We observed a large variation (0.47 to 4.71) in call-out rates to severe trauma incidents per 100,000 inhabitants per year across the 16 Emergency Medical Communication Centre areas in Norway. CONCLUSIONS: Centrality affects the proportion of PCD call-outs to severe trauma incidents, and call-out rates were higher in rural than in urban areas. We found no significant difference in call-out rates according to time factors. Possible consequences of these findings should be further investigated.


Subject(s)
Wounds and Injuries , Humans , Norway , Male , Female , Wounds and Injuries/epidemiology , Wounds and Injuries/therapy , Adult , Middle Aged , Time Factors , Physicians, Primary Care/statistics & numerical data , Registries , Aged , Emergency Medical Services/statistics & numerical data , Rural Health Services/statistics & numerical data , Rural Population/statistics & numerical data , Adolescent , Young Adult
9.
J Public Health Manag Pract ; 30: S127-S129, 2024.
Article in English | MEDLINE | ID: mdl-39041748

ABSTRACT

The Centers for Disease Control and Prevention (CDC) continues to promote the utilization of electronic health records (EHRs) to support population health management and reduce disparities. However, access to EHRs with capabilities to disaggregate data or generate digital dashboards is not always readily available in rural areas. With funding from CDC's DP-18-1815, the Division of Diabetes and Heart Disease Management (Division) at the South Carolina Department of Health and Environmental Control designed a quality improvement initiative to reduce health disparities for people with hypertension and high blood cholesterol in rural areas. With support from a nonprofit partner, the Division used qualitative evaluation methods to evaluate the extent to which practices were able to disaggregate data and report quality measures.


Subject(s)
Electronic Health Records , Meaningful Use , Electronic Health Records/statistics & numerical data , Electronic Health Records/trends , Humans , Meaningful Use/statistics & numerical data , South Carolina , United States , Centers for Disease Control and Prevention, U.S./organization & administration , Rural Health Services/trends , Rural Health Services/statistics & numerical data , Quality Improvement , Rural Population/statistics & numerical data , Rural Population/trends
10.
Aust J Rural Health ; 32(2): 286-298, 2024 Apr.
Article in English | MEDLINE | ID: mdl-38337146

ABSTRACT

OBJECTIVE: Most podiatry-led high-risk foot services (HRFS) in Australia are located in metropolitan areas or large regional centres. In rural areas, where there are limited specialist services, individuals with diabetes-related foot ulceration are more likely to undergo amputation. This study aimed to explore clinicians' perceptions of a recently implemented HRFS in rural New South Wales, Australia, and compare trends of amputation and hospitalisation prior to and post-implementation of the service. SETTING: Rural HRFS in Tamworth, New South Wales, Australia. PARTICIPANTS: Health professionals working within the HRFS were recruited to participate. DESIGN: This was a multiple-methods study. For the qualitative arm, semi-structured interviews were conducted, which were analysed using a reflexive thematic approach. The quantitative arm of the study utilised a retrospective analytic design which applied an interrupted time series to compare amputation and hospitalisation trends pre- and post-implementation of the HRFS utilising diagnostic and procedural ICD codes. RESULTS: The qualitative arm of the study derived three themes: (1) navigating the divide, (2) rural community and rural challenges and (3) professional identity. Results of the interrupted time series indicate that there was a downward trend in major amputations following implementation of the HRFS; however, this was not statistically significant. CONCLUSION: Clinicians were aware of the inequity in DFD outcomes between rural and metropolitan areas and were committed to improving outcomes, particularly with respect to First Nations peoples. Future research will explore service use and amputation rates in the longer term to further evaluate this specialised multidisciplinary care in a rural community.


Subject(s)
Amputation, Surgical , Diabetic Foot , Rural Health Services , Humans , Rural Health Services/statistics & numerical data , New South Wales , Amputation, Surgical/statistics & numerical data , Female , Male , Qualitative Research , Retrospective Studies , Podiatry , Adult , Middle Aged , Hospitalization/statistics & numerical data , Rural Population/statistics & numerical data
11.
Aust J Rural Health ; 32(2): 332-342, 2024 Apr.
Article in English | MEDLINE | ID: mdl-38419201

ABSTRACT

INTRODUCTION: There is a long standing and worsening shortage of psychiatrists in Australia particularly in rural areas. The majority of psychiatrists work in major cities. OBJECTIVE: To identify recent trends in the Australian rural psychiatrist workforce compared with the metropolitan workforce. DESIGN: We descriptively analysed population-level data from the National Health Workforce Data Set (NHWDS), the Australian Institute of Health and Welfare (AIHW) and the Australian Bureau of Statistics (ABS). A descriptive analysis of the numbers (count) and gender of psychiatrists from 1995 to 2022 working in Australia was conducted. For the period 2013 to 2022, we analysed for rurality, gender, years' experience, hours worked, Medicare-subsidised services provided and proportions of Specialist International Medical Graduates (SIMG) by sex, with a focus on the rural workforce. For international comparison, psychiatrist numbers were obtained for other OECD countries. The number of psychiatrists working in Australia, as per NHWDS and AIHW, was quantified. We analysed trends in demographics, hours worked and rurality of psychiatrists working in Australia in a serial cross-sectional design. FINDINGS: Most psychiatrists are maldistributed to major cities, while outer regional and remote areas have few resident psychiatrists. Outer regional New South Wales (NSW) and South Australia (SA) have the lowest numbers of psychiatrists per capita. The full-time equivalent (FTE) of psychiatrists per 100 000 has increased from 12.6 in 2000 to 15.2 in 2022. However, the average hours worked by psychiatrists has declined. In total, available psychiatrist hours worked per 100 000 population has increased by 6.1% since the beginning of the millennium. DISCUSSION: Rural areas in NSW and SA have the greatest shortage of psychiatrists. Specialist International Medical Graduates and females (43% of the overall workforce) are the predominant workforce in rural areas. Although Medicare-subsidised services per 1000 people have increased in rural areas, they remain lower than for those living in major cities. CONCLUSION: There remains an acute shortage of psychiatrists in many regional and remote areas of Australia, with an increasing proportion of SIMGs and females working in these areas, in the context of future increased demand.


Subject(s)
Psychiatry , Rural Health Services , Humans , Rural Health Services/statistics & numerical data , Female , Australia , Male , Workforce/trends , Workforce/statistics & numerical data , Rural Population/statistics & numerical data , Cross-Sectional Studies , Health Workforce/trends , Health Workforce/statistics & numerical data , Adult
12.
Aust J Rural Health ; 32(3): 547-553, 2024 Jun.
Article in English | MEDLINE | ID: mdl-38511481

ABSTRACT

OBJECTIVE: To establish prevalence and associations of provision of nursing home visits (NHV) and home visits (HV) by early-career specialist GPs. Of particular interest were associations of rurality with performing NHVs and HVs. METHODS: A cross-sectional study. DESIGN: A questionnaire-based study. SETTING: Australian general practice. PARTICIPANTS: Early-career specialist GPs, practising in Australia, who attained Fellowship between January 2016 and July 2018, inclusive, having completed GP training in NSW, the ACT, Eastern Victoria or Tasmania. MAIN OUTCOME MEASURES: Current provision of NHV and HV. RESULTS: NHV were provided by 34% of participants (59% in rural areas) and HV by 41% of participants (60% in rural areas). Remote, rural or regional practice location, as compared to major-city practice, was strongly associated with performing NHV as an early-career specialist GP; multivariable OR 5.87 (95% CI: 2.73, 12.6), p < 0.001, and with the provision of HV; multivariable OR 3.64 (95% CI: 1.63, 8.11), p = 0.002. Rurality of GP training (prior to attaining Fellowship) was significantly univariably associated with providing NHV and with providing HV as an early-career specialist GP. On multivariable analyses, these were no longer statistically significant. CONCLUSION: Early-career specialist GPs located in regional/remote areas are more likely than their urban colleagues to provide NHV and HV.


Subject(s)
General Practitioners , House Calls , Nursing Homes , Humans , Cross-Sectional Studies , Female , Male , Nursing Homes/statistics & numerical data , General Practitioners/statistics & numerical data , House Calls/statistics & numerical data , Surveys and Questionnaires , Prevalence , Rural Health Services/statistics & numerical data , Adult , Middle Aged , Australia , Tasmania
13.
Aust J Rural Health ; 32(3): 538-546, 2024 Jun.
Article in English | MEDLINE | ID: mdl-38597124

ABSTRACT

INTRODUCTION: The distribution of health care workers differs greatly across Australia, which is likely to impact health delivery. OBJECTIVE: To examine demographic and workplace setting factors of doctors, nurses and midwives, and allied health professionals across Modified Monash Model (MMM) regions and identify factors associated with shortfalls in the health care workforce. DESIGN: Descriptive cross-sectional analysis. The study included all health professionals who were registered with the Australian Health Practitioner Regulation Agency in 2021, and who were working in Australia in their registered profession. The study examined number of registrations and full-timed equivalent (FTE) registrations per MMM region classification, adjusted for population. Associated variables included age, gender, origin of qualification, Indigenous status and participation in the private or public (including government, non-government organisation and not-for-profit organisations) sectors. FINDINGS: Data were available for 31 221 general practitioners, 77 277 other doctors, 366 696 nurses and midwives, and 195 218 allied health professionals. The lowest FTE per 1000 people was seen in MM5 regions for general practitioners, other doctors, nurses and midwives, and allied health professionals. Demographic factors were mostly consistent across MM regions, although MM5 regions had a higher percentage of nurses and midwives and allied health professionals aged 55 and over. In the private sector, FTE per 1000 people was lowest in MM5-7 regions. In the public sector, FTE per 1000 people was lowest in MM5 regions. DISCUSSION: A disproportionate shortfall of health workers was seen in MM5 regions. This shortfall appears to be primarily due to low FTE per capita of private sector workers compared with MM1-4 regions and a low FTE per capita of public sector workers compared with MM6-7 regions. CONCLUSION: In Australia, small rural towns have the lowest number of health care workers per capita which is likely to lead to poor health outcomes for those regions.


Subject(s)
Rural Health Services , Humans , Female , Cross-Sectional Studies , Male , Middle Aged , Australia , Adult , Rural Health Services/statistics & numerical data , Health Workforce/statistics & numerical data , Health Personnel/statistics & numerical data , Rural Population/statistics & numerical data , Aged
14.
Aust J Rural Health ; 32(3): 569-581, 2024 Jun.
Article in English | MEDLINE | ID: mdl-38629876

ABSTRACT

OBJECTIVE: Cancer clinical trials (CCTs) provide access to emerging therapies and extra clinical care. We aimed to describe the volume and characteristics of CCTs available across Victoria, Australia, and identify factors associated with rural trial location. METHODS: Quantitative analysis of secondary data from Cancer Council Victoria's Clinical Trials Management Scheme dataset. DESIGN: A cross-sectional study design was used. SETTING: CCTs were available Victoria-wide in 2018. PARTICIPANTS: There were 1669 CCTs and 5909 CCT participants. MAIN OUTCOME MEASURES: Rural CCT location was assessed as a binary variable with categories of 'yes' (modified Monash [MM] categories 2-7) and 'no' (MM category 1). MM categories were determined from postcodes. The highest ('least rural') MM category was used for postcodes with multiple MM categories. RESULTS: Of 1669 CCTs, 168 (10.1%) were conducted in rural areas. Of 5909 CCT participants, 315 (5.3%) participated in rural CCTs. There were 526 CCTs (31.5%) with 1907 (32.3%) newly enrolled participants. Of 1892 newly enrolled participants with postcode data, 488 (25.8%) were rural residents. Of them, 368 (75.4%) participated in metropolitan CCTs. In a multivariable logistic regression analysis for all 1669 CCTs, odds of a rural rather than metropolitan CCT location were significantly (p-value <0.05) lower for early-phase than late-phase trials and non-solid than solid tumour trials but significantly (p-value <0.05) higher for non-industry than industry-sponsored trials. CONCLUSIONS: In Victoria, 10% of CCTs are at rural sites. Most rural-residing CCT participants travel to metropolitan sites, where there are more late-phase, non-solid-tumour and industry-sponsored trials. Approaches to increase the volume and variety of rural CCTs should be considered.


Subject(s)
Clinical Trials as Topic , Neoplasms , Rural Population , Humans , Victoria , Neoplasms/therapy , Cross-Sectional Studies , Rural Population/statistics & numerical data , Female , Male , Rural Health Services/statistics & numerical data , Middle Aged , Urban Population/statistics & numerical data
15.
S D Med ; 77(3): 113-118, 2024 Mar.
Article in English | MEDLINE | ID: mdl-38990795

ABSTRACT

BACKGROUND: As of 2019, South Dakota had only 32 registered dermatologists, one per 27,569 people. Wait times for dermatologic care are affected by factors such as socioeconomic status, provider distribution, and patient to provider ratios. This inaccessibility to care or prolonged wait times may lead to diagnosis and treatment delays as well as disease progression. We hypothesized wait times to see a dermatologist would be longer in rural areas than urban areas in South Dakota. METHODS: Dermatology clinics throughout South Dakota were contacted to obtain wait times. An internet search was conducted to develop a list of dermatology providers. A population of 50,000 or greater defined an urban area and a ratio of four dermatologists per 100,000 people was used as an ideal patient to provider ratio. RESULTS: Overall, 75% of South Dakota's dermatology clinics participated with an equal rural to urban distribution. There was no difference in wait times for new (p=0.787) or established patients (p=0.461) comparing rural and urban clinics. All South Dakota cities with clinics met the goal patient to dermatologist ratio except for Dakota Dunes (included as part of the Sioux City, Iowa, metro population). CONCLUSIONS: The data does not support the hypothesis that wait times for dermatologists would be longer in rural locations than urban locations. Despite adequate dermatologist to patient ratios throughout most of South Dakota, wait times of over six weeks were found at both urban and rural locations, indicating the need for future studies to assess potential solutions for improving timely access to dermatologic care.


Subject(s)
Dermatology , Waiting Lists , South Dakota , Humans , Dermatology/statistics & numerical data , Health Services Accessibility/statistics & numerical data , Dermatologists/statistics & numerical data , Dermatologists/supply & distribution , Rural Health Services/statistics & numerical data , Urban Health Services/statistics & numerical data
16.
Int Ophthalmol ; 44(1): 323, 2024 Jul 09.
Article in English | MEDLINE | ID: mdl-38980416

ABSTRACT

BACKGROUND: Cataract is the leading cause of blindness worldwide and surgery can restore vision in most patients. Some patients have little access to surgical services due to lack of cataract surgeons and the unaffordable costs. In 2005 we built a service model that trained rural non-ophthalmologist physicians to perform cataract surgeries in rural China. This study evaluates the long-term impacts of this model. METHODS: We conducted a retrospective cohort study to analyze patients' hand-written medical records and electronic outpatient record between January 2005 and December 2019 at two rural health clinics in Southern China. RESULTS: In total, 34,601 patients (49,942 eyes) underwent cataract surgery by non-ophthalmologist physicians from 2005 to 2019.Visual acuity was clearly documented in 38,251 eyes. Before surgery, the unaided distance visual acuity (UDVA) of 60.7% (23,205/38,251) eyes was less than 0.05 decimal. On the first day after surgery, the percentage of UDVA < 0.05 eyes was reduced to 6.0%, and 96.7% (36,980/38,251) of the eyes achieved a better UDVA compared to pre-operation. Surgical-related complications occurred in 218 eyes. The most common complication was posterior capsule rupture (114, 0.23%). 44.3% (15,341/34,601) of the patients chose to have a second eye cataract surgery (SECS) in the same clinic. At one of the outpatient clinics, 21,595 patients received basic eye care apart from cataract surgery between 2018 and 2020. CONCLUSIONS: Non-ophthalmologist physicians trained for cataract surgeries in rural clinics can improve cataract related visual acuity and basic eye care to the local population.


Subject(s)
Cataract Extraction , Cataract , Visual Acuity , Humans , Retrospective Studies , Cataract Extraction/statistics & numerical data , Cataract Extraction/methods , Male , Female , Aged , Cataract/epidemiology , Cataract/complications , Middle Aged , China/epidemiology , Rural Population/statistics & numerical data , Rural Health Services/statistics & numerical data , Aged, 80 and over , Ophthalmologists/statistics & numerical data , Adult
17.
Sichuan Da Xue Xue Bao Yi Xue Ban ; 55(4): 911-917, 2024 Jul 20.
Article in Zh | MEDLINE | ID: mdl-39170030

ABSTRACT

Objective: To investigate and analyze the current status and challenges of infant and toddler nutritional services in urban and rural medical facilities in Sichuan Province. Methods: In 2022, a questionnaire survey was conducted to collect data on infant and toddler nutritional services, including feeding guidance, physical growth assessment, and micronutrient deficiency screening, as well as information on personnel and tools in medical facilities throughout Sichuan Province. The provision of nutritional services was analyzed and the urban-rural disparities were assessed. Results: A total of 2206 medical facilities (29.1% from urban areas and 70.9% from rural areas) were investigated. Only 35.8% of medical facilities provided all three types of nutritional services. Specifically, the overall service provision rates were high for feeding guidance (94.6%) and physical growth assessment (85.0%), but lower for micronutrient deficiency screening (37.4%). Rural facilities exhibited significantly lower rates than their urban counterparts for both physical growth assessment and micronutrient deficiency screening (P<0.05). The provision rates of feeding guidance ranged from 70.6% to 93.2%, with responsive feeding guidance being the least implemented (70.6%), particularly in rural areas compared to urban areas (P<0.05). Rates for physical growth assessment and micronutrient deficiency screening ranged from 75.3% to 81.8% and 23.6% to 30.8%, respectively, both showing lower rates in rural settings compared to urban ones (P<0.05). Nutrition service providers were predominantly nurses (52.3%) and clinical practitioners (43.4%). The availability of dietary assessment tools ranged from 7.7% to 15.9%, significantly lower in rural areas compared to urban areas (P<0.001), while physical measurement tools were widely available at rates of 94.6% to 98.5%. Conclusion: At present, the infant and toddler nutritional service provisions of medical facilities in Sichuan Province are incomplete, particularly so in the implementation of feeding guidance, physical growth assessment, and micronutrient deficiency screening. There is a notable shortage of personnel and necessary tools, with rural areas facing more significant challenges. Enhancing the overall capacity of infant and toddler nutritional services in Sichuan Province is essential, with specific attention needed for rural healthcare settings.


Subject(s)
Rural Population , Humans , Infant , China , Cross-Sectional Studies , Child, Preschool , Surveys and Questionnaires , Urban Population , Micronutrients/deficiency , Health Facilities/statistics & numerical data , Male , Rural Health Services/statistics & numerical data , Female
18.
J Trauma Nurs ; 31(4): 182-188, 2024.
Article in English | MEDLINE | ID: mdl-38990873

ABSTRACT

BACKGROUND: Current literature has not adequately addressed factors affecting wait times for hip fracture surgery in the rural setting. OBJECTIVE: This study aims to assess the factors affecting admission, transit, and preoperative wait times that impact the timeliness of hip fracture surgery within a rural health system. METHODS: A single-center retrospective cross-sectional study was conducted in a rural community comprising five community hospitals and two receiving hospitals. A trauma registry study included all hip fracture cases from 2019. Mean, standard deviation, median, and interquartile range were calculated for admission wait times, transit times to the receiving hospitals, and preoperative wait times in hours. Metrics based on means or medians were developed for these wait times. RESULTS: A total of 163 patients met the inclusion criteria. The emergency department wait times before and after admission to the community hospitals were 1 hour and 2.5 hours, respectively. The transit times from the community hospitals, ranging from shorter to farther distances, to receiving hospitals were 40 minutes and 1 hour, respectively. The preoperative wait time for admitted and transferred patients was 12 hours. CONCLUSION: Our study outlines a methodology for establishing wait time metrics that impact surgical timeliness for hip fracture patients within a rural healthcare system. We recommend conducting comparable studies with larger sample sizes across different healthcare systems.


Subject(s)
Hip Fractures , Time-to-Treatment , Humans , Hip Fractures/surgery , Hip Fractures/nursing , Male , Female , Cross-Sectional Studies , Retrospective Studies , Aged , Time-to-Treatment/statistics & numerical data , Aged, 80 and over , Rural Health Services/statistics & numerical data , Middle Aged , Time Factors , Rural Population/statistics & numerical data , Emergency Service, Hospital/statistics & numerical data
20.
Front Public Health ; 12: 1364973, 2024.
Article in English | MEDLINE | ID: mdl-38799685

ABSTRACT

Introduction: Village clinics (VCs) are the foundation of the three-tiered health service system in China, delivering basic and routine outpatient services to citizens in rural China. VC technical efficiency and its convergence play a critical role in policy decisions regarding the distribution of health service resources in rural China. Methods: This study measured VC technical efficiency (using the slacks-based measure model), its convergence (using the convergence model), and the factors that influence the convergence in Shanxi Province, China. Data were obtained from the Shanxi Rural Health Institute 2014-2018 Health Statistics Report, which involved 3,543 VCs. Results: The results showed that VC technical efficiency was low and differed by region. There was no α convergence in VC technical efficiency, but evidence of ß convergence was found in Shanxi. The main factors that influence convergence were the building area of each VC (BA), proportion of government subsidies (PGS), and ratio of total expenditure to total income of each VC (RTETI). Conclusion: The government should increase investments in VCs and improve VC technical efficiency. Meanwhile, the government should be aware of and take measures to curb the inequity in VC technical efficiency among different regions and take suitable measures to curb this disparity.


Subject(s)
Rural Health Services , China , Humans , Rural Health Services/statistics & numerical data , Rural Population/statistics & numerical data , Efficiency, Organizational/statistics & numerical data
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