Olayinka Atilola1, Funmilayo Olayiwola2. 1. Senior Registrar, Dept of Psychiatry, University College Hospital Ibadan, Nigeria. 2. Nursing Officer, Nursing Services Division, University College Hospital Ibadan, Nigeria.
Abstract
INTRODUCTION: Reports from different parts of the world has shown a seasonal pattern in psychiatric admission. Seasonal changes in climatic and social situations have been attributed. Such audit of psychiatric services is not a popular research venture in Nigeria. OBJECTIVES: The study aims to describe the pattern of old psychiatric admissions in a tertiary health facility and the socio-cultural and environmental factors that may influence the pattern. METHODS: Data on monthly admissions over a 5-year period were extracted from the admission and discharge records kept by the nursing services unit. The data was processed using Microsoft excel and the pattern over the 5-year period was examined using graphical representations. RESULTS: There were 2140 admissions during the review period, comprising 1138 ( 53.2%) females and 1002 males. The mean new admission per month was 34.55 (M:16.7, F:18.96) with a standard deviation of 7.49 for all admissions. There was a seasonal pattern in admission. Some socio-cultural and environmental factors that may explain the pattern were examined. CONCLUSION: This study suggests a seasonal pattern of psychiatric admission in a tertiary health facility in Ibadan. Recommendations were made on how to make use of the knowledge of the seasonal pattern of admission to mitigate disruptions in workload that may be occasioned by the observed pattern.
INTRODUCTION: Reports from different parts of the world has shown a seasonal pattern in psychiatric admission. Seasonal changes in climatic and social situations have been attributed. Such audit of psychiatric services is not a popular research venture in Nigeria. OBJECTIVES: The study aims to describe the pattern of old psychiatric admissions in a tertiary health facility and the socio-cultural and environmental factors that may influence the pattern. METHODS: Data on monthly admissions over a 5-year period were extracted from the admission and discharge records kept by the nursing services unit. The data was processed using Microsoft excel and the pattern over the 5-year period was examined using graphical representations. RESULTS: There were 2140 admissions during the review period, comprising 1138 ( 53.2%) females and 1002 males. The mean new admission per month was 34.55 (M:16.7, F:18.96) with a standard deviation of 7.49 for all admissions. There was a seasonal pattern in admission. Some socio-cultural and environmental factors that may explain the pattern were examined. CONCLUSION: This study suggests a seasonal pattern of psychiatric admission in a tertiary health facility in Ibadan. Recommendations were made on how to make use of the knowledge of the seasonal pattern of admission to mitigate disruptions in workload that may be occasioned by the observed pattern.
Inpatient care of the mentally ill, though expensive and
resource intensive, is still the safest and most effective
mode of treatment for patients adjudged
unmanageable at home or in the community[1].
Seasonality in utilisation of psychiatric facilities has been
observed as far back as the 70s[2] and this observation
has not changed till date as recent studies have found
monthly variations in psychiatric admissions with a peak
around summer or at the peak of local temperature[3],[4].
Such audits of psychiatric services including hospital
service indices like hospital utilisation index or bed
occupancy rates are not a popular research venture in
Nigeria. It is possible that there are other place-specific
contextual variables that may explain any seasonal
pattern of psychiatric admission that may be found in
Nigeria. Such findings may improve the preparedness
of mental health facilities by guiding service
organisation and planning in most sub-Sahara African
countries like Nigeria where mental health services are
poorly developed and professionals are scarce[5].
OBJECTIVES
The study is descriptive in nature and aims to describe
the monthly pattern of admissions in the psychiatric
ward of a teaching hospital in Nigeria and to examine
cultural, environmental and other factors that may
influence the pattern.
MATERIALS AND METHODS
Setting
The study was conducted at the psychiatry department
of University College Hospital, Ibadan, Nigeria
between the months of February and March 2009.
The psychiatry ward is a 64-bed facility divided into a
male and a female wing. The facility principally serves
Ibadan and its environs, with a population of close to
5 million; its catchment area, however, is not well
defined. The Nursing service unit keeps a monthly
admission and discharge register of all patients
admitted into the wards. This record contains the sociodemographic
data and outcome of all patients.
Procedure
Data on monthly admissions over a 5-year period
for the two wards, spanning from April 2004 to March
2009, were extracted from the admission and discharge
records kept by the nursing services unit. The data
was processed using Microsoft excel and the pattern
over the 5-year period was examined using graphical
representations.
RESULTS
There were 2140 admissions during the review period,
comprising 1138 (53.2%) females and 1002 males. The
mean new admission per month was 34.55 (M:16.7,
F:18.96) with a standard deviation of 7.49 for all
admissions. There was a seasonal pattern in admission
with a steep build-up in new admissions starting from
September through December. The steep rise in number of new admissions towards the end of the
year appears to reach its peak around December after
which it appears to plateau (Figs. 1a-e). At about the
month of April the number of new admissions begins
to decline reaching a nadir around the month of
August before gradually rising again. A graphical representation of the pattern of admission is presented
in figs. 1a-e.
Fig 1a:
2004/05
Fig 1e:
2008/09
DISCUSSION
This study shows a seasonal pattern of psychiatric
admission with a steep build-up in admissions starting
from September through January. The only exception
was the first year of the review period (Fig. 1a) when
the ward was partially closed to new admissions as
part of the infection control ‘wash down’ of the
hospital. This finding is similar to the report, from
other parts of the world, of higher rates of psychiatric
admissions around summer or at the peak of local
temperature[3],[4] as the season between the month of
September and January in Western Nigeria shares some
climatic characteristics with summer period in the
western world. For instance, just like may be seen during summer, Western Nigeria experiences a higher average
sunlight hours per day, high daytime temperatures and
gradual and steady decline in rainfall between the month
of September and January[6]. Therefore one can argue
that the climatic and other environmental factors that
may underlie the increased psychiatric admissions during summer in the western world may similarly
affect Nigerian patients. However, there may be other
socio-cultural and economic factors specific for Nigeria
that may be contributory.For instance, because of the general level of
socioeconomic development in Nigeria and some other
African countries, there is a high level of rural–urban
migration among young persons in search of
economic and social emancipation[7]. Such youth usually
leave their older and more dependent family members behind. As it is customary in most parts of Nigeria
for such young persons to return home towards the
end of the year, more mentally illpatients may be taken
to hospital for needed inpatient care. This may be as a
result of improved financial or human resources that
accompany such returns. The returning family member
may also have acquired a better understanding of
treatment for mental illness from the cities and thus supporting orthodox care above other treatment
modalities.Furthermore, the high level of stigma attached to
mental illness in this environment[8] may compel families
to bring a mentally ill family member for treatment
towards the end of the year merely to keep such
patients away from home during the festive periods
when they expect to receive a lot of visitors. In addition,
the periods between the month of September and
January are relatively rain free[9] and this may improve the pliability of un-tarred roads that leads to most
villages in Ibadan and environs, thus reducing the
logistics problem of presenting in the hospital.
Conversely, the periods between the month of April
and early August is the most favourable crop planting
season in South-west Nigeria9, thus, agricultural
activities are usually at its peak about this time,
decreasing the level of expendable human resources that can be diverted to the care of mentally illpatients.
This may partly explain the dip in new admissions
observed during the period.Moreover, Nigerians attach a lot of importance to an
individual’s financial success at the end of the year.
Therefore, a lot of people in this environment may be
under increased pressure to garner more financial
strength as the year runs to an end and the festive period
approaches. This may constitute a special psychosocial
stressor that can trigger the onset or relapse of mental
illness. Holmes and Harry listed Christmas as a
psychosocial stressor in their Social Readjustment
Rating Questionnaire[10], underscoring the psychological
relevance of the festive periods.The seasonal changes in the number of new admissions
observed in this study may have implications for patient
care. The institute of medicine (IOM) USA, in a report
on the issue of nurse staffing and patient care in 2004,
concluded that “Research is now beginning to
document what physicians, patients, other health care providers, and nurses themselves have long known:
how well we are cared for by nurses affects our health,
and sometimes can be a matter of life or death”[11].
This statement underscores the importance of nursing
care in the provision of quality hospital care. In the
setting of this study, the number of nurses per shift is
usually kept constant irrespective of bed occupancy
or pattern of admission. This may then mean a higher
work load and Patient: Nurse Ratio during the last 3-
4 months of the year if the observed pattern over the
review period is sustained. Studies have shown that
quality of nursing care and patients’ satisfaction declines
with higher Patient: Nurse Ratio[12] and that this could
manifest in higher incidence of patient-safety
problems[13] including deaths[14]. Beckmann et al[15], while
examining the problems associated with nursing staff shortage in a health facility in Newcastle, Australia,
found that inappropriate roster schedule for current
patient load and inability to respond to increased unit
activity were the leading cause of shortages in nursing
care and the most common consequences of these
included problems with drug administration/
documentation, patient supervision and nursing care
procedures. Undesirable patient outcomes, according
to the study, included major physiological changes,
patient/relative dissatisfaction and physical injury.
Similar decline in quality of nursing care with increasing
workload have been reported in mental health settings[16].This study may serve as a basis for recommending
that more nurses should be posted to the psychiatric
ward during the last three months of the year. Nursing
staff may also plan their annual leave not to fall during
these periods. However, it is premature to assume that
the pattern seen in this study can be generalised for all
the regions in the country. There is a need for further
studies in this regard.
CONCLUSION
This study suggests a seasonal pattern of psychiatric
admission in a tertiary health facility in Ibadan. The
seasonal pattern may be explained by some sociocultural,
economic and environmental factors. It is
recommended that nursing roster schedules be made
flexible to accommodate consistent annual variations
in patterns of psychiatric admissions.
Authors: Oye Gureje; Victor O Lasebikan; Olusola Ephraim-Oluwanuga; Benjamin O Olley; Lola Kola Journal: Br J Psychiatry Date: 2005-05 Impact factor: 9.319