Needs-Based Planning for Generalist Physicians

Roos, Noralou P.; Fransoo, Randy; Bogdanovic, Bogdan; Carrière, Keumhee C.; Frohlich, Norman; Friesen, David; Patton, David; Wall, Ron

doi:10.1097/00005650-199906001-00017

Cited by 21 publications

(19 citation statements)

References 14 publications

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“…In comparing these results with similar studies in which rural versus urban residence status was assessed, it is important to remember that the definitions of urban versus rural may differ from country to country [22-24]. In the Iraq MICS, an urban area was defined as any administrative setup lying within the municipality boards; areas other than these were considered rural.…”

Section: Discussionmentioning

confidence: 96%

Socio-economic factors associated with delivery assisted by traditional birth attendants in Iraq, 2000

Siziya

Muula

Rudatsikira

2009

BMC Int Health Hum Rights

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BackgroundTraditional birth attendants (TBAs) are likely to deliver lower quality maternity care compared to professional health workers. It is important to characterize women who are assisted by TBAs in order to design interventions specific to such groups. We thus conducted a study to assess if socio-economic status and demographic factors are associated with having childbirth supervised by traditional birth attendants in Iraq.MethodsIraqi Multiple Indicator Cluster Survey (MICS) data for 2000 were used. We estimated frequencies and proportions of having been delivered by a traditional birth attendant and other social characteristics. Logistic regression analysis was used to assess the association between having been delivered by a TBA and wealth, area of residence (urban versus rural), parity, maternal education and age.ResultsAltogether 22,980 women participated in the survey, and of these women, 2873 had delivery information and whether they were assisted by traditional birth attendants (TBAs) or not during delivery. About 1 in 5 women (26.9%) had been assisted by TBAs. Compared to women of age 35 years or more, women of age 25–34 years were 22% (AOR = 1.22, 95%CI [1.08, 1.39]) more likely to be assisted by TBAs during delivery. Women who had no formal education were 42% (AOR = 1.42, 95%CI [1.22, 1.65]) more likely to be delivered by TBAs compared to those who had attained secondary or higher level of education. Women in the poorest wealth quintile were 2.52 (AOR = 2.52, 95%CI [2.14, 2.98]) more likely to be delivered by TBAs compared to those in the richest quintile. Compared to women who had 7 or more children, those who had 1 or 2 were 28% (AOR = 0.72, 95%CI [0.59, 0.87]) less likely to be delivered by TBAs.ConclusionFindings from this study indicate that having delivery supervised by traditional birth attendants was associated with young maternal age, low education, and being poor. Meanwhile women having 1 or 2 children were less likely to be delivered by TBAs. These factors should be considered in the design of interventions to reduce the rate of deliveries assisted by TBAs in favour of professional midwives, and consequently reduce maternal and neonatal mortality rates and other adverse events.

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Section: Discussionmentioning

confidence: 96%

Socio-economic factors associated with delivery assisted by traditional birth attendants in Iraq, 2000

Siziya

Muula

Rudatsikira

2009

BMC Int Health Hum Rights

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“…The Winnipeg poor have more frequent contact with general practitioners; socioeconomic groups differ little in contact with specialists (Roos et al 1999). Winnipeg residents of lower income neighborhoods have been shown to have a higher need for health care (estimated from an index combining age, gender, socioeconomic status, and health status) (Roos et al 1999, 2004).…”

Section: Discussionmentioning

confidence: 99%

Physician Visits, Hospitalizations, and Socioeconomic Status: Ambulatory Care Sensitive Conditions in a Canadian Setting

Roos¹,

Walld²,

Uhanova³

et al. 2005

Health Services Research

212

177

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“…Lomas et al . (1985) and Roos et al . (1999) argue that much of the work in physician manpower planning has been based on the assumption that need is synonymous with supply.…”

Section: Introductionmentioning

confidence: 96%

“…Lomas et al . (1985) and Roos et al . (1999) cautioned that physician utilization rates may be artificially increased as a result of analytical techniques.…”

Section: Introductionmentioning

confidence: 96%

Forecasting models for human resources in health care

O’Brien‐Pallas

Baumann

Donner

et al. 2001

Journal of Advanced Nursing

112

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This article is a review of the approaches published between 1996 and 1999 that have been used to forecast human resource requirements for nursing. Much of the work to date generally does not consider the complex factors that influence health human resources (HHR). They also do not consider the effect of HHR decisions on population health, provider outcomes such as stress, and the cost of a decision made. Supply and demand approaches have dominated. Forecasting is limited, too, by the availability of reliable and valid data bases for examining supply and use of nursing personnel across sectors. Three models--needs based, utilization based, and effective demand based--provide substantially different estimates of future HHR need. The methods of analysis employed for forecasting range from descriptive to predictive and are borrowed from demography, epidemiology, economics, and industrial engineering. Simulation models offer the most promise for the future. The forecasting methods described have demonstrated their accuracy and usefulness for specific situations, but none has proven accurate for long-term forecasting or for estimating needs for large geographical areas or populations.

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Needs-Based Planning for Generalist Physicians

Cited by 21 publications

References 14 publications

Socio-economic factors associated with delivery assisted by traditional birth attendants in Iraq, 2000

Socio-economic factors associated with delivery assisted by traditional birth attendants in Iraq, 2000

Physician Visits, Hospitalizations, and Socioeconomic Status: Ambulatory Care Sensitive Conditions in a Canadian Setting

Forecasting models for human resources in health care

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