Query Optimization

Hello All,

I have a query :

SELECT TOP 1000 
      FACT_TABLE.[ClaimLineNumber] AS [ClaimLineNumber], 
      FACT_TABLE.[clmnum] AS [clmnum], 
      FACT_TABLE.[memid_blinded] AS [memid], 
      FACT_TABLE.[clmtype] AS [clmtype], 
      FACT_TABLE.[pd_dt] AS [pd_dt], 
      FACT_TABLE.[fromdate] AS [fromdate], 
      FACT_TABLE.[todate] AS [todate], 
      FACT_TABLE.[paidamt] AS [paidamt], 
      FACT_TABLE.[firstdiagcode] AS [firstdiagcode], 
      FACT_TABLE.[serviceunits] AS [serviceunits], 
      FACT_TABLE.[billedamt] AS [billedamt], 
      FACT_TABLE.[allowedamt] AS [allowedamt] 
 FROM 
       [dbo].[finalclaim] FACT_TABLE 
      INNER JOIN [dbo].[dimcarrier] DIM1 
            ON DIM1.[carrier_id_int] = FACT_TABLE.[carrier_id_int] 
      INNER JOIN [dbo].[dimpayor] DIM2 
            ON DIM2.[Payor_id_int] = FACT_TABLE.[Payor_id_int] 
      INNER JOIN [dbo].[dimgroup] DIM3 
            ON DIM3.[group_id_int] = FACT_TABLE.[group_id_int] 
      INNER JOIN [dbo].[dimreportedpaiddate] DIM4 
            ON DIM4.[rpt_pd_dt_id_int] = FACT_TABLE.[rpt_pd_dt_id_int] 
      INNER JOIN [dbo].[dimtosclaimclass] DIM5 
            ON DIM5.[tos_claim_class_id_int] = FACT_TABLE.[tos_claim_class_id_int] 
WHERE 1=1 
      AND DIM1.[Plan_Type] = 'HMO' 
      AND DIM2.[Payor_name] = 'BCBSM' 
      AND DIM3.[LVLDESC3] = 'General Motors' 
      AND DIM4.[pd_dt_mth_yr] = '2012 - NOV' 
      AND DIM5.[claim_sub_type] = 'Facility' 

this returns only 78 records from my fact table having 170 Million records. It is taking long time to execute. Is there any way i can optimize this query?

Also, i have already created indexes on each join columns.

Anish Tuladhar - Do not forget to mark as answer, only if helpful.:)