Factors influencing blood donation: a cross-sectional survey in Guangzhou, China

ObjectivesTo investigate the rates and influencing factors of transient ischaemic attack (TIA) inpatient admissions and outpatient visits in China.SettingA door-to-door survey of 178 059 families from 155 urban and rural areas in 31 provinces in China, 2013.ParticipantsTotal 596 536 people were assessed in the annual rate analysis, and 829 TIA patients were assessed in the influencing factor analysis.Main outcome measuresThe weighted annual rates of TIA inpatient admissions and outpatient visits and the factors influencing inpatient admissions and outpatient visits for TIA patients.ResultsThe weighted annual inpatient admission rate per TIA patient was 25.8 (95% CI: 18.4 to 36.2) per 100 000 in the population, whereas the weighted annual inpatient admission rate for patients with TIAs was 32.5 (95% CI: 23.3 to 38.9) per 100 000 in the population. The weighted annual outpatient visit rate per TIA patient was 34.4 (95% CI: 26.2 to 45.1) per 100 000 in the population, whereas the weighted annual outpatient visit rate for patients with TIAs was 149.6 (95% CI: 127.0 to 165.5) per 100 000. The inpatient rate was higher for men than for women (OR: 2.24; 95% CI: 1.40 to 3.59; p=0.001), for TIA patients with stroke than for patients with isolated TIAs (2.93; 2.01 to 4.25; p<0.001), for TIA patients with hypertension than for TIA patients without hypertension (2.60; 1.65 to 4.11; p<0.001). The outpatient rate was higher for TIA patients with stroke than for patients with isolated TIAs (1.88; 1.33 to 2.64; p<0.001), for TIA patients with dyslipidaemia than for TIA patients without dyslipidaemia (1.92; 1.30 to 2.83; p=0.001).ConclusionsThe annual rates of TIA inpatient admissions and outpatient visits in population are low, probably due to the lack of access to inpatient and outpatient services experienced by the majority of TIA patients in the population, and individuals’ socio-demographic characteristics, disease histories and stroke prognosis may be associated with inpatient and outpatient TIAs.

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Factors influencing specialized health care utilization by individuals with spinal cord injury: a cross-sectional survey

Spinal Cord ◽

10.1038/s41393-020-00581-6 ◽

2020 ◽

Cited By ~ 1

Author(s):

Elias Ronca ◽

Anke Scheel-Sailer ◽

Inge Eriks-Hoogland ◽

Mirjam Brach ◽

Isabelle Debecker ◽

...

Keyword(s):

Health Care ◽

Spinal Cord ◽

Spinal Cord Injury ◽

Health Care Utilization ◽

Care Utilization ◽

Cross Sectional Survey ◽

Cross Sectional ◽

Factors Influencing ◽

Cord Injury ◽

Specialized Health Care

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Age-related factors influence HIV testing within subpopulations: a cross-sectional survey of MSM within the Celtic nations

Sexually Transmitted Infections ◽

10.1136/sextrans-2018-053935 ◽

2019 ◽

Vol 95 (5) ◽

pp. 351-357

Author(s):

Jenny Dalrymple ◽

Kareena McAloney-Kocaman ◽

Paul Flowers ◽

Lisa M McDaid ◽

Jamie Scott Frankis

Keyword(s):

Hiv Testing ◽

Online Survey ◽

Future Research ◽

Sociocultural Factors ◽

Health Improvement ◽

Cross Sectional Survey ◽

Related Factors ◽

Cross Sectional ◽

Factors Influencing ◽

Age Related

ObjectivesDespite a recent fall in the incidence of HIV within the UK, men who have sex with men (MSM) continue to be disproportionately affected. As biomedical prevention technologies including pre-exposure prophylaxis are increasingly taken up to reduce transmission, the role of HIV testing has become central to the management of risk. Against a background of lower testing rates among older MSM, this study aimed to identify age-related factors influencing recent (≤12 months) HIV testing.MethodsCross-sectional subpopulation data from an online survey of sexually active MSM in the Celtic nations—Scotland, Wales, Northern Ireland and Ireland (n=2436)—were analysed to compare demographic, behavioural and sociocultural factors influencing HIV testing between MSM aged 16–25 (n=447), 26–45 (n=1092) and ≥46 (n=897).ResultsMultivariate logistic regression demonstrated that for men aged ≥46, not identifying as gay (OR 0.62, CI 0.41 to 0.95), location (Wales) (OR 0.49, CI 0.32 to 0.76) and scoring higher on the personalised Stigma Scale (OR 0.97, CI 0.94 to 1.00) significantly reduced the odds for HIV testing in the preceding year. Men aged 26–45 who did not identify as gay (OR 0.61, CI 0.41 to 0.92) were also significantly less likely to have recently tested for HIV. For men aged 16–25, not having a degree (OR 0.48, CI 0.29 to 0.79), location (Republic of Ireland) (OR 0.55, CI 0.30 to 1.00) and scoring higher on emotional competence (OR 0.57, CI 0.42 to 0.77) were also significantly associated with not having recently tested for HIV.ConclusionKey differences in age-related factors influencing HIV testing suggest health improvement interventions should accommodate the wide diversities among MSM populations across the life course. Future research should seek to identify barriers and enablers to HIV testing among the oldest and youngest MSM, with specific focus on education and stigma.

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Main Non-Clinical Factors Influencing Endodontic Referral

Primary Dental Journal ◽

10.1177/205016841600500307 ◽

2016 ◽

Vol 5 (3) ◽

pp. 64-69

Author(s):

Joseph L Broome

Keyword(s):

Referral Process ◽

Clinical Factors ◽

Cross Sectional Survey ◽

Eligibility Criteria ◽

Cross Sectional ◽

Factors Influencing ◽

General Dental Practitioner ◽

Dental Practitioners ◽

High Level ◽

Endodontic Disease

Specialisation in endodontics allows for endodontic referrals by general dental practitioner (GDPs) and the study of factors influencing referral. These centre on a triad consisting of the referral process, non-clinical and clinical reasons for referral. Many non-clinical factors have been identified which may influence the referral process to the endodontist. A systematic review study was undertaken into the main non-clinical factors influencing endodontic referral by general dental practitioners to endodontists. Such awareness and appreciation of these factors benefits the commercial aspect of the referral practice, increases access by reducing barriers to care, and ultimately improves patient care. A literature search yielded three papers that met the eligibility criteria. All studies included were cross sectional survey studies completed by GDPs. The main non-clinical factors seen from the studies include: • Availability. • Personality, relationships and communication. • Location. Availability presented as a common thread throughout all the studies. In conclusion, endodontic referral is multifactorial and influenced by several factors, that are not related to the nature of the endodontic disease, and this is a dynamic process. Due to the lack of high level studies, and limitations of the available studies, further research is suggested into relevant area of non-clinical endodontic factors for endodontic referral and thus allowing for further analysis.

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