Evidence map›Paper›PMID 17524007›Full record

ArticleHealth expectations : an international journal of public participation in health care and health policy2007

Improving sexual health services in the city: can the NHS learn from clients and the service industry.

Hitesh Patel, Juan Baeza, Mitesh Patel, Linda Greene, Nick Theobald

Abstract read
In one paragraph

Article in Health expectations : an international journal of public participation in health care and health policy, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Hitesh PatelChelsea and Westminster Hospital, London, UK. dochiteshpatel@hotmail.com
Juan Baeza
Mitesh Patel
Linda Greene
Nick Theobald

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveGenitourinary service providers are struggling to meet patient demand and have introduced changes in access structure to cope. In this study, we explored the perspectives of clients and providers upon the different models of access introduced and whether these maintained service quality using the SERQUAL model.

methodsPrimary data were collected in May 2005 at two genitourinary medicine clinics, two Accident and Emergency Departments and from members of a university 'gay' society all of which were located in London. Forty-four high-risk clients and 11 health service providers underwent semi-structured face-to-face interviews.

resultsBoth the walk-in and appointment-based access systems were appreciated by clients. Clients said that the most important issue was that they were not turned away when they presented. Health-care providers had a variety of opinions about the two systems as they had different impacts on morale, training and service provision.

conclusionsService quality can be maintained by using both walk-in and appointment-based systems. This is because our data, in line with Parasuraman's model of service quality, showed that 'access' is but one determinant of quality. Having different modes of access facilitates patient choice, which is paramount in a modern health-care system. However, to provide a good service it is important to maintain a motivated staff, who can be affected by their working environment.

Indexed as

Patient SatisfactionSexually Transmitted DiseasesAdolescentAdultAmbulatory Care FacilitiesAppointments and SchedulesAttitude of Health PersonnelFemaleHealth Services AccessibilityHumansInterviews as TopicLondonMaleMiddle AgedQuality of Health CareRisk Factors

Identifiers

PMID17524007
PMCPMC5060393

What OpenQuestion holds

Textmetadata
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.