| Literature DB >> 21306604 |
Catherine Rh Aicken1, Jackie A Cassell, Claudia S Estcourt, Frances Keane, Gary Brook, Greta Rait, Peter J White, Catherine H Mercer.
Abstract
BACKGROUND: National health strategies have called for an expansion of the role of primary care in England to increase access to sexual health services. However, there is little guidance for service planners and commissioners as to the public health impact of different combinations of specialist genitourinary medicine (GUM) clinics and primary care based services for local populations. Service planning for infectious diseases like sexually transmitted infections (STI) is further complicated because the goal of early detection and treatment is not only to improve the health of the individual, but to benefit the wider population and reduce future treatment costs by preventing onward transmission. Therefore, we are developing a survey tool that will enable service planners to better understand the needs of their local STI care-seeking population and which will help inform evidence-based decision-making about current and future service configurations. Here we describe the rationale and development of this survey tool. METHODS/Entities:
Mesh:
Year: 2011 PMID: 21306604 PMCID: PMC3045289 DOI: 10.1186/1472-6963-11-30
Source DB: PubMed Journal: BMC Health Serv Res ISSN: 1472-6963 Impact factor: 2.655
Data items collected by the survey tool by source and service type and rationale for collection.
| Source | Item | Rationale* |
|---|---|---|
| Questionnaire | Gender, age (date of birth and date of attendance used to calculate age in years from clinical data extract) | To find out the demographic profile served by the clinic/LESSH practice. Prevalence of STIs varies by age and gender. |
| Questionnaire | Reason for attendance | Comparing reason for attendance with the patient's care pathway (duration, any other services used) can be informative. For instance, patients attending because of their own symptoms, or because a partner has been diagnosed with an STI, should ideally be accessing services fast. |
| Duration of care-seeking | This can help identify groups of patients for whom access is difficult (i.e. lengthy care-seeking). | |
| Use of other services (and if relevant, type/name of service, how long ago and what happened) | We can use this information to assess whether there has been duplication of effort in a patient's care pathway, and/or whether their STI could have been detected and treated by the previous service(s) they contacted. We will also be able to see which services refer patients on (and assess whether this is likely to be justifiable). | |
| Number of male/female sexual partners in the last year; | Number and gender of recent partners influences STI risk. It is also informative to find out whether people with many partners, and men who have sex with men, are more likely to attend particular services. | |
| Regarding each partner in the last 3 months (up to a max. of 3): | How long ago each sexual partnership began and ended informs measurement of concurrency (partnership overlap), which influences transmission risk. | |
| Whether the respondent had sex since recognising a need to seek care (for the reason attending the service), and if so: | Together with STI diagnosis this informs the likelihood of transmission since the patient recognised the need to seek care. | |
| Whether the respondent has ever been diagnosed with an STI | Past STI diagnosis may affect future care-seeking. | |
| Whether the respondent has ever had a | A measure of past contact with | |
| Whether the respondent has symptoms now, and if so, duration of symptoms | Although many infections are asymptomatic, it is useful to know how patients with symptoms differ in their care-seeking to those without. | |
| Whether the respondent is registered with a GP | Patients registered with a GP may have more opportunity to seek sexual health care from primary care (including LESSH) than those not registered. | |
| The type of appointment can influence the length of time a patient waits (in contrast we know that once they contact a clinic, most GUM patients are seen within 48 hours) | ||
| Clinical data extract | STIs tested for; | Knowing which STIs were tested for informs which STIs |
| Whether patient is already known to be HIV positive | As HIV testing is not relevant for patients known to be HIV positive | |
| Partner notification outcomes for patients diagnosed with | These indicators of partner notification assess the extent to which the service is managing to notify the partners of patients with common STIs. | |
| We know that GUM services have facilities for microscopy but some LESSH may not have this facility. Similarly, we wished to measure the appropriateness of treatment received by doctors whose main work is | ||
| As LESSH are advertised within a PCT, we assumed the majority of patients lived in the same PCT. GUM clinic users may travel from further afield; data on PCT of residence is routinely collected in GUM. | ||
| Source differed by setting | Collected in clinical data extract in GUM but questionnaire in LESSH: | Ethnicity is routinely by GUM clinics, but not necessarily by LESSH services. STI prevalence varies by ethnicity, and ethnicity can be used to assess whether any groups are underserved, attend for different reasons, or have longer care pathways. |
*For our study, the information on patients' demographics, sexual behaviour, and STI positivity also informs a mathematical model of STI transmission. Here we concentrate on the rationale for the collection of audit data for local use.
Sociodemographic characteristics of patients participating in cognitive interviews
| Characteristic 1 | Number of patients | Source of data | |
|---|---|---|---|
| Gender | Female | 7 | Self-reported in questionnaire |
| Male | 6 | ||
| Age | 15-19 | 1 | |
| 20-24 | 1 | ||
| 25-29 | 4 | ||
| 30-34 | 4 | ||
| 35-39 | 1 | ||
| 40-45 | 2 | ||
| Sexuality2 | Heterosexual | 9 | |
| Homosexual | 1 | ||
| Bisexual | 2 | ||
| Not asked | 1 | ||
| Ethnicity | White | 9 | Assessed by interviewer3 |
| Black | 2 | ||
| Asian | 2 | ||
| Other information | English not main language | 2 | Spontaneous, self-reported |
| 'My reading's rubbish' (native-speaker) | 1 | ||
The demographic breakdown was considered by clinic staff to be broadly representative of their clinic population. However, it is worth noting that patients at this clinic tended to be slightly older and more likely to be from professional backgrounds than patients attending the study's other GUM clinics but for logistical reasons it was only feasible to undertake the cognitive interviews in one GUM clinic.
Based on reported gender of sexual partner(s) in the last year.
Assessed by the interviewer (CA) for the cognitive interview data only. During survey implementation, LESSH patients self-reported their ethnicity, and GUM patients' ethnicity was obtained later from the clinical data extract.